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1. Photon-counting computed tomography in the assessment of rheumatoid arthritis-associated interstitial lung disease: an initial experience

Author: Nikolett Marton, Janos Gyebnar, Kinga Fritsch, Judit Majnik, Gyorgy Nagy, Judit Simon, Veronika Müller, Adam Domonkos Tarnoki, David Laszlo Tarnoki, and Pal Maurovich-Horvat
Subjects: ct, high-resolution, low-dose, lung, photon-counting, ultra-high-resolution, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract: PURPOSEInterstitial lung disease (ILD) accounts for a significant proportion of mortality and morbidity in patients with rheumatoid arthritis (RA). The aim of this cross-sectional study is to evaluate the performance of novel photon-counting detector computed tomography (PCD-CT) in the detection of pulmonary parenchymal involvement.METHODSSixty-one patients with RA without a previous definitive diagnosis of ILD underwent high-resolution (HR) (0.4 mm slice thickness) and ultra-high-resolution (UHR) (0.2 mm slice thickness) PCDCT examination. The extent of interstitial abnormalities [ground-glass opacity (GGO), reticulation, bronchiectasis, and honeycombing] were scored in each lobe using a Likert-type scale. Total ILD scores were calculated as the sum of scores from all lobes.RESULTSReticulation and bronchiectasis scores were higher in the UHR measurements taken compared with the HR protocol [median (quartile 1, quartile 3): 2 (0, 3.5) vs. 0 (0, 3), P < 0.001 and 2 (0, 2) vs. 0 (0, 2), P < 0.001, respectively]; however, GGO and honeycombing scores did not differ [2 (2, 4) vs. 2 (2, 4), P = 0.944 and 0 (0, 0) vs. 0 (0, 0), P = 0.641, respectively]. Total ILD scores from both HR and UHR scans showed a mild negative correlation in diffusion capacity for carbon monoxide (HR: r = –0.297, P = 0.034; UHR: r = –0.294, P = 0.036). The pattern of lung parenchymal involvement did not differ significantly between the two protocols. The HR protocol had significantly lower volume CT dose index [0.67 (0.69, 1.06) mGy], total dose length product [29 (24.48, 33.2) mGy*cm] compared with UHR scans [8.18 (6.80, 9.23) mGy, P < 0.001 and 250 (218, 305) mGy*cm, P < 0.001].CONCLUSIONUHR PCD-CT provides more detailed information on ILD in patients with RA than low-dose HR PCDCT. HR PCD-CT image acquisition with a low effective radiation dose may serve as a valuable, low-radiation screening tool in the selection of patients for further, higher-dose UHR PCD-CT screening.
Published: 2023
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2. A radioanatomical study of 3rd segment terminal branches of the maxillary artery in the pterygopalatine fossa

Author: Kolos Lovász, Péter Magyar, Tibor Szalóki, Pal Maurovich-Horvat, Károly Altdorfer, László Tamás, and Alán Alpár
Subjects: Medicine, Science
Abstract: Abstract This study describes the clinical anatomical topography and relationship of the terminal branches of the maxillary artery to the bony wall of the maxillary sinus in the pterygopalatine fossa (PPF) to estimate the bleeding risk during surgical interventions. Using contrasted computer tomography records, (i) the route of the maxillary artery in the infratemporal fossa, (ii) the number of the arteries in the critical PPF surgery plane, (iii) the diameter of the largest artery in the area and (iv) its relation to the posterior wall of the maxillary sinus were examined. Furthermore, measurements were extended with (v) the minerality of the bony posterior wall of the maxillary sinus on bone-window images. For statistical analyses Student’s t- and Fisher-test were applied. 50 patients (n = 50, 100 cases including both sides) were examined in this study. The maxillary artery reached the pterygomaxillary fissure on the lateral side of the lateral pterygoid muscle in 56% of the cases (n = 32), in 37% (n = 23) on its medial side and in 7% (n = 4) on both sides. The number of arteries at the level of the Vidian canal in the PPF varied between 1 and 4 with a median of 2. The diameter of the biggest branch was 1.2–4.7 mm, the median diameter was 1.90 mm. In 41% (n = 30) of the cases the biggest artery directly contacted the posterior wall of the maxillary sinus, and the mineral density of the posterior wall was decreased in 14.3% (n = 12) of all investigated cases. The present description and statistical analysis of the vasculature of the PPF optimizes operative planning—like clip size or the type and direction of the surgical approach—in this hidden and deep head/neck region.
Published: 2023
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3. Impact of immune checkpoint inhibitors on atherosclerosis progression in patients with lung cancer

Author: Pal Maurovich-Horvat, Béla Merkely, Tomas G Neilan, Hannah K Gilman, Borek Foldyna, Zsofia Dora Drobni, Carlos Gongora, Giselle A Suero-Abreu, Jana Taron, Julia Karady, Sama Supraja, Sofia Nikolaidou, and Nicolas Leeper
Subjects: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Background Patients with lung cancer face a heightened risk of atherosclerosis-related cardiovascular events. Despite the strong scientific rationale, there is currently a lack of clinical evidence examining the impact of immune checkpoint inhibitors (ICIs) on the advancement of atherosclerosis in patients with lung cancer. The objective of our study was to investigate whether there is a correlation between ICIs and the accelerated progression of atherosclerosis among individuals with lung cancer.Methods In this case–control (2:1 matched by age and gender) study, total, non-calcified, and calcified plaque volumes were measured in the thoracic aorta using sequential contrast-enhanced chest CT scans. Univariate and multivariate rank-based estimation regression models were developed to estimate the effect of ICI therapy on plaque progression in 40 cases (ICI) and 20 controls (non-ICI).Results The patients had a median age of 66 years (IQR: 58–69), with 50% of them being women. At baseline, there were no significant differences in plaque volumes between the groups, and their cardiovascular risk profiles were similar. However, the annual progression rate for non-calcified plaque volume was 7 times higher in the ICI group compared with the controls (11.2% vs 1.6% per year, p=0.001). Conversely, the controls showed a greater progression in calcified plaque volume compared with the ICI group (25% vs 2% per year, p=0.017). In a multivariate model that considered cardiovascular risk factors, the use of an ICI was associated with a more substantial progression of non-calcified plaque volume. Additionally, individuals treated with combination ICI therapy exhibited greater plaque progression.Conclusions ICI therapy was associated with more non-calcified plaque progression. These findings underscore the importance of conducting studies aimed at identifying the underlying mechanisms responsible for plaque advancement in patients undergoing ICI treatment.Trial registration number NCT04430712.
Published: 2023
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4. Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development

Author: Szilard Voros, Aruna T. Bansal, Michael R. Barnes, Jagat Narula, Pal Maurovich-Horvat, Gustavo Vazquez, Idean B. Marvasty, Bradley O. Brown, Isaac D. Voros, William Harris, Viktor Voros, Thomas Dayspring, David Neff, Alex Greenfield, Leon Furchtgott, Bruce Church, Karl Runge, Iya Khalil, Boris Hayete, Diego Lucero, Alan T. Remaley, and Roger S. Newton
Subjects: triglyceride-rich LDL, LDL-triglycerides, cardiovascular risk, Bayesian network analysis, omics, hepatic lipase, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: IntroductionWe sought to explore biomarkers of coronary atherosclerosis in an unbiased fashion.MethodsWe analyzed 665 patients (mean ± SD age, 56 ± 11 years; 47% male) from the GLOBAL clinical study (NCT01738828). Cases were defined by the presence of any discernable atherosclerotic plaque based on comprehensive cardiac computed tomography (CT). De novo Bayesian networks built out of 37,000 molecular measurements and 99 conventional biomarkers per patient examined the potential causality of specific biomarkers.ResultsMost highly ranked biomarkers by gradient boosting were interleukin-6, symmetric dimethylarginine, LDL-triglycerides [LDL-TG], apolipoprotein B48, palmitoleic acid, small dense LDL, alkaline phosphatase, and asymmetric dimethylarginine. In Bayesian analysis, LDL-TG was directly linked to atherosclerosis in over 95% of the ensembles. Genetic variants in the genomic region encoding hepatic lipase (LIPC) were associated with LIPC gene expression, LDL-TG levels and with atherosclerosis.DiscussionTriglyceride-rich LDL particles, which can now be routinely measured with a direct homogenous assay, may play an important role in atherosclerosis development.Clinical trial registrationGLOBAL clinical study (Genetic Loci and the Burden of Atherosclerotic Lesions); [https://clinicaltrials.gov/ct2/show/NCT01738828?term=NCT01738828&rank=1], identifier [NCT01738828].
Published: 2023
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5. Cardiac Computed Tomography to Identify and Guide Therapy of Intramural Hemorrhage in High-Risk Coronary Anatomy

Author: Kumar Jatti, MD, Pal Maurovich-Horvat, MD, PhD, MPH, Jonathan Hasleton, MD, Muezz Uddin, MD, and Balazs Ruzsics, MD, PhD
Subjects: acute coronary syndrome, computed tomography coronary angiography, coronary intramural hematoma, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Coronary intramural hematoma can present with acute coronary syndrome. We present a 39-year-old man with post-assault stress-induced left main intramural hematoma. We used computed tomography coronary angiogram with lesion characterization and suspected the diagnosis of intramural hematoma despite its limited spatial resolution; computed tomography was used for follow-up imaging and proper monitoring of therapeutic measures. (Level of Difficulty: Advanced.)
Published: 2021
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6. Autoimmune Progressive Fibrosing Interstitial Lung Disease: Predictors of Fast Decline

Author: Alexandra Nagy, Tamas Nagy, Abigel Margit Kolonics-Farkas, Noemi Eszes, Krisztina Vincze, Eniko Barczi, Adam Domonkos Tarnoki, David Laszlo Tarnoki, György Nagy, Emese Kiss, Pal Maurovich-Horvat, Aniko Bohacs, and Veronika Müller
Subjects: autoimmune disease, progressive fibrosing interstitial lung disease (PF-ILD), connective tissue disease (CTD), interstitial pneumonia with autoimmune features (IPAF), treatment, antifibrotics, Therapeutics. Pharmacology, RM1-950
Abstract: A subset of interstitial lung diseases (ILDs) with autoimmune traits—including connective tissue disease-associated ILD (CTD-ILD) and interstitial pneumonia with autoimmune features (IPAF)—develops progressive fibrosing (PF)-ILD. The aim of our study was to evaluate the clinical characteristics and predictors of longitudinal lung function (LF) changes in autoimmune PF-ILD patients in a real-world setting. All ILD cases with confirmed or suspected autoimmunity discussed by a multidisciplinary team (MDT) between January 2017 and June 2019 (n = 511) were reviewed, including 63 CTD-ILD and 44 IPAF patients. Detailed medical history, LF test, diffusing capacity of the lung for carbon monoxide (DLCO), 6-min walk test (6MWT), blood gas analysis (BGA), and high-resolution computer tomography (HRCT) were performed. Longitudinal follow-up for functional parameters was at least 2 years. Women were overrepresented (70.1%), and the age of the IPAF group was significantly higher as compared to the CTD-ILD group (p < 0.001). Dyspnea, crackles, and weight loss were significantly more common in the IPAF group as compared to the CTD-ILD group (84.1% vs. 58.7%, p = 0.006; 72.7% vs. 49.2%, p = 0.017; 29.6% vs. 4.8%, p = 0.001). Forced vital capacity (FVC) yearly decline was more pronounced in IPAF (53.1 ± 0.3 vs. 16.7 ± 0.2 ml; p = 0.294), while the majority of patients (IPAF: 68% and CTD-ILD 82%) did not deteriorate. Factors influencing progression included malignancy as a comorbidity, anti-SS-A antibodies, and post-exercise pulse increase at 6MWT. Antifibrotic therapy was administered significantly more often in IPAF as compared to CTD-ILD patients (n = 13, 29.5% vs. n = 5, 7.9%; p = 0.007), and importantly, this treatment reduced lung function decline when compared to non-treated patients. Majority of patients improved or were stable regarding lung function, and autoimmune-associated PF-ILD was more common in patients having IPAF. Functional decline predictors were anti-SS-A antibodies and marked post-exercise pulse increase at 6MWT. Antifibrotic treatments reduced progression in progressive fibrosing CTD-ILD and IPAF, emphasizing the need for guidelines including optimal treatment start and combination therapies in this special patient group.
Published: 2021
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7. Heritability of Subcortical Grey Matter Structures

Author: David Strelnikov, Amirreza Alijanpourotaghsara, Marton Piroska, Laszlo Szalontai, Bianka Forgo, Zsofia Jokkel, Alíz Persely, Anita Hernyes, Lajos Rudolf Kozak, Adam Szabo, Pal Maurovich-Horvat, David Laszlo Tarnoki, and Adam Domonkos Tarnoki
Subjects: subcortical, volumetry, twins, heritability, MRI, CAT12, Medicine (General), R5-920
Abstract: Background and Objectives: Subcortical grey matter structures play essential roles in cognitive, affective, social, and motoric functions in humans. Their volume changes with age, and decreased volumes have been linked with many neuropsychiatric disorders. The aim of our study was to examine the heritability of six subcortical brain volumes (the amygdala, caudate nucleus, pallidum, putamen, thalamus, and nucleus accumbens) and four general brain volumes (the total intra-cranial volume and the grey matter, white matter, and cerebrospinal fluid (CSF) volume) in twins. Materials and Methods: A total of 118 healthy adult twins from the Hungarian Twin Registry (86 monozygotic and 32 dizygotic; median age 50 ± 27 years) underwent brain magnetic resonance imaging. Two automated volumetry pipelines, Computational Anatomy Toolbox 12 (CAT12) and volBrain, were used to calculate the subcortical and general brain volumes from three-dimensional T1-weighted images. Age- and sex-adjusted monozygotic and dizygotic intra-pair correlations were calculated, and the univariate ACE model was applied. Pearson’s correlation test was used to compare the results obtained by the two pipelines. Results: The age- and sex-adjusted heritability estimates, using CAT12 for the amygdala, caudate nucleus, pallidum, putamen, and nucleus accumbens, were between 0.75 and 0.95. The thalamus volume was more strongly influenced by common environmental factors (C = 0.45−0.73). The heritability estimates, using volBrain, were between 0.69 and 0.92 for the nucleus accumbens, pallidum, putamen, right amygdala, and caudate nucleus. The left amygdala and thalamus were more strongly influenced by common environmental factors (C = 0.72−0.85). A strong correlation between CAT12 and volBrain (r = 0.74−0.94) was obtained for all volumes. Conclusions: The majority of examined subcortical volumes appeared to be strongly heritable. The thalamus was more strongly influenced by common environmental factors when investigated with both segmentation methods. Our results underline the importance of identifying the relevant genes responsible for variations in the subcortical structure volume and associated diseases.
Published: 2022
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8. Diagnostic Performance of On-Site Computed Tomography Derived Fractional Flow Reserve on Non-Culprit Coronary Lesions in Patients with Acute Coronary Syndrome

Author: Abdelkrim Ahres, Judit Simon, Balazs Jablonkai, Bela Nagybaczoni, Tamas Baranyai, Astrid Apor, Marton Kolossvary, Bela Merkely, Pal Maurovich-Horvat, Balint Szilveszter, and Peter Andrassy
Subjects: acute coronary syndrome, non-culprit lesions, on-site computed tomography derived fractional flow reserve, invasive fractional flow reserve, dobutamine stress echocardiography, Science
Abstract: The role of coronary computed tomography angiography (CCTA) derived fractional flow reserve (CT-FFR) in the assessment of non-culprit lesions (NCL) in patients with acute coronary syndrome (ACS) is debated. In this prospective clinical study, a total of 68 ACS patients with 89 moderate (30–70% diameter stenosis) NCLs were enrolled to evaluate the diagnostic accuracy of on-site CT-FFR compared to invasive fractional flow reserve (FFRi) and dobutamine stress echocardiography (DSE) as reference standards. CT-FFR and FFRi values ≤0.80, as well as new or worsening wall motion abnormality in ≥2 contiguous segments on the supplying area of an NCL on DSE, were considered positive for ischemia. Sensitivity, specificity, positive, and negative predictive value of CT-FFR relative to FFRi and DSE were 51%, 89%, 75%, and 74% and 37%, 77%, 42%, and 74%, respectively. CT-FFR value (β = 0.334, p < 0.001) and CT-FFR drop from proximal to distal measuring point [(CT-FFR drop), β = −0.289, p = 0.002)] were independent predictors of FFRi value in multivariate linear regression analysis. Based on comparing their receiver operating characteristics area under the curve (AUC) values, CT-FFR value and CT-FFR drop provided better discriminatory power than CCTA-based minimal lumen diameter stenosis to distinguish between an NCL with positive and negative FFRi [0.77 (95% Confidence Intervals, CI: 0.67–0.86) and 0.77 (CI: 0.67–0.86) vs. 0.63 (CI: 0.52–0.73), p = 0.029 and p = 0.043, respectively]. Neither CT-FFR value nor CT-FFR drop was predictive of regional wall motion score index at peak stress (β = −0.440, p = 0.441 and β = 0.403, p = 0.494) or was able to confirm ischemia on the territory of an NCL revealed by DSE (AUC = 0.54, CI: 0.43–0.64 and AUC = 0.55, CI: 0.44–0.65, respectively). In conclusion, on-site CT-FFR is superior to conventional CCTA-based anatomical analysis in the assessment of moderate NCLs; however, its diagnostic capacity is not sufficient to make it a gatekeeper to invasive functional evaluation. Moreover, based on its comparison with DSE, CT-FFR might not yield any information on the microvascular dysfunction in the territory of an NCL.
Published: 2022
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9. Genetic and Environmental Effects on the Development of White Matter Hyperintensities in a Middle Age Twin Population

Author: Amirreza Alijanpourotaghsara, David Strelnikov, Marton Piroska, Laszlo Szalontai, Bianka Forgo, Zsofia Jokkel, Alíz Persely, Anita Hernyes, Lajos Rudolf Kozak, Adam Szabo, Pal Maurovich-Horvat, Adam Domonkos Tarnoki, and David Laszlo Tarnoki
Subjects: white matter hyperintensities, twins, MRI, heritability, volBrain, Medicine (General), R5-920
Abstract: Introduction: White matter hyperintensities (WMH) indicate white matter brain lesions in magnetic resonance imaging (MRI), which can be used as a marker for brain aging and cerebrovascular and neurodegenerative disorders. Twin studies revealed substantial but not uniform WMH heritability in elderly twins. The objective of our study was to investigate the genetic and environmental components of WMH, as well as their importance in a healthy twin population, utilizing 3T MRI scanners in a middle-aged twin population. Methods: Brain MRI was performed on 120 healthy adult twins from the Hungarian Twin Registry on a 3T scanner (86 monozygotic, MZ and 34 dizygotic, DZ twins; median age 50 ± 26.5 years, 72.5% female and 27.5% male). The count of WMH on FLAIR images was calculated using an automated volumetry pipeline (volBrain) and human processing. The age- and sex-adjusted MZ and DZ intra-pair correlations were determined and the total variance was decomposed into genetic, shared and unique environmental components using structural equation modeling. Results: Age and sex-adjusted MZ intrapair correlations were higher than DZ correlations, indicating moderate genetic influence in each lesion (rMZ = 0.466, rDZ = −0.025 for total count; rMZ = 0.482, rDZ = 0.093 for deep white matter count; rMZ = 0.739, rDZ = 0.39 for infratentorial count; rMZ = 0.573, rDZ = 0.372 for cerebellar count and rMZ = 0.473, rDZ = 0.19 for periventricular count), indicating a moderate heritability (A = 40.3%, A = 45%, A = 72.7% and A = 55.5%and 47.2%, respectively). The rest of the variance was influenced by unique environmental effects (E between 27.3% and 59.7%, respectively). Conclusions: The number of WMH lesions is moderately influenced by genetic effects, particularly in the infratentorial region in middle-aged twins. These results suggest that the distribution of WMH in various brain regions is heterogeneous.
Published: 2022
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10. Impact of COVID-19 on the imaging diagnosis of cardiac disease in Europe

Author: Jeroen J Bax, Gianluca Pontone, Todd C Villines, Chiara Bucciarelli-Ducci, Pal Maurovich-Horvat, Michelle Claire Williams, Edward Nicol, Bjarne L Nørgaard, Riemer H J A Slart, Paolo Raggi, Andrew J Einstein, Leslee Shaw, Cole B Hirschfeld, Amelia Jimenez-Heffernan, Valentin Sinitsyn, Vladimir Sergienko, Alexey Ansheles, Ronny Buechel, Elisa Milan, Yaroslav Pynda, Nathan Better, Rodrigo Cerci, Sharmila Dorbala, Joao Vitola, Eli Malkovskiy, Benjamin Goebel, Yosef Cohen, Michael Randazzo, Thomas N B Pascual, Maurizio Dondi, and Diana Paez
Subjects: Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Objectives We aimed to explore the impact of the COVID-19 pandemic on cardiac diagnostic testing and practice and to assess its impact in different regions in Europe.Methods The online survey organised by the International Atomic Energy Agency Division of Human Health collected information on changes in cardiac imaging procedural volumes between March 2019 and March/April 2020. Data were collected from 909 centres in 108 countries.Results Centres in Northern and Southern Europe were more likely to cancel all outpatient activities compared with Western and Eastern Europe. There was a greater reduction in total procedure volumes in Europe compared with the rest of the world in March 2020 (45% vs 41%, p=0.003), with a more marked reduction in Southern Europe (58%), but by April 2020 this was similar in Europe and the rest of the world (69% vs 63%, p=0.261). Regional variations were apparent between imaging modalities, but the largest reductions were in Southern Europe for nearly all modalities. In March 2020, location in Southern Europe was the only independent predictor of the reduction in procedure volume. However, in April 2020, lower gross domestic product and higher COVID-19 deaths were the only independent predictors.Conclusion The first wave of the COVID-19 pandemic had a significant impact on care of patients with cardiac disease, with substantial regional variations in Europe. This has potential long-term implications for patients and plans are required to enable the diagnosis of non-COVID-19 conditions during the ongoing pandemic.
Published: 2021
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11. The natural history of napkin-ring sign by coronary computed tomography angiography

Author: Aleksandra Brutkiewicz, Mariusz Kruk, Marcin Demkow, Pal Maurovich-Horvat, Weronika Pleban, Anna Witowicz, Jerzy Pręgowski, Zofia Dzielinska, Witold Ruzyllo, and Cezary Kępka
Subjects: napkin-ring sign, vulnerable plaque, coronary computed tomography, Medicine
Published: 2019
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12. Largely Accelerated Arterial Aging in Rheumatoid Arthritis Is Associated With Inflammatory Activity and Smoking in the Early Stage of the Disease

Author: Nikolett Mong, Zoltan Tarjanyi, Laszlo Tothfalusi, Andrea Bartykowszki, Aniko Ilona Nagy, Anett Szekely, David Becker, Pal Maurovich-Horvat, Bela Merkely, and Gyorgy Nagy
Subjects: rheumatoid arthritis, coronary calcium score, arterial aging, inflammatory activity, smoking-adverse effects, Therapeutics. Pharmacology, RM1-950
Abstract: Background: Rheumatoid arthritis (RA) patients have a shorter life expectancy than the general population primarily due to cardiovascular comorbidities.Objectives: To characterize arterial aging in RA.Patients and Methods: Coronary calcium score (CCS) were available from 112 RA patients; out of these patients, follow-up CCS were measured for 54 randomly selected individuals. Control CCS were obtained from the MESA database (includes 6,000 < participants); arterial age was calculated from CCS.Results: RA patients were significantly older (10.45 ± 18.45 years, p < 0.001) in terms of the arterial age than the age-, gender-, and race-matched controls. The proportion of RA patients who had zero CCS was significantly less (p < 0.01) than that of those in the MESA reference group. Each disease year contributed an extra 0.395 years (p < 0.01) on the top of the normal aging process. However, the rate of the accelerated aging is not uniform, in the first years of the disease it is apparently faster. Smoking (p < 0.05), previous cardiovascular events (p < 0.05), and high blood pressure (p < 0.05) had additional significant effect on the aging process. In the follow-up study, inflammatory disease activity (CRP > 5 mg/L, p < 0.05) especially in smokers and shorter than 10 years of disease duration (p = 0.05) had the largest impact.Conclusion: Arterial aging is faster in RA patients than in control subjects, particularly in the first 10 years of the disease. Inflammation, previous cardiovascular events, and smoking are additional contributing factors to the intensified coronary atherosclerosis progression. These data support that optimal control of inflammation is essential to attenuate the cardiovascular risk in RA.
Published: 2020
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13. Treatment and Systemic Sclerosis Interstitial Lung Disease Outcome: The Overweight Paradox

Author: Alexandra Nagy, Erik Palmer, Lorinc Polivka, Noemi Eszes, Krisztina Vincze, Eniko Barczi, Aniko Bohacs, Adam Domonkos Tarnoki, David Laszlo Tarnoki, György Nagy, Emese Kiss, Pal Maurovich-Horvat, and Veronika Müller
Subjects: systemic sclerosis, interstitial lung disease, progressive fibrosing interstitial lung disease, lung function, body mass index, treatment, Biology (General), QH301-705.5
Abstract: (1) Background: Systemic sclerosis (SSc) is frequently associated with interstitial lung diseases (ILDs). The progressive form of SSc-ILD often limits patient survival. The aim of our study is to evaluate the clinical characteristics and predictors of lung function changes in SSc-ILD patients treated in a real-world setting. (2) Methods: All SSc-ILD cases previously confirmed by rheumatologists and a multidisciplinary ILD team between January 2017 and June 2019 were included (n = 54). The detailed medical history, clinical parameters and HRCT were analyzed. The longitudinal follow-up for pulmonary symptoms, functional parameters and treatment were performed for at least 2 years in no treatment, immunosuppression and biological treatment subgroups. (3) Results: In SSc-ILD patients (age 58.7 ± 13.3 years, 87.0% women), the main symptoms included dyspnea, cough, crackles and the Raynaud’s phenomenon. The functional decline was most prominent in untreated patients, and a normal body mass index (BMI < 25 kg/m2) was associated with a significant risk of deterioration. The majority of patients improved or were stable during follow-up. The progressive fibrosing-ILD criteria were met by 15 patients, the highest proportion being in the untreated subgroup. (4) Conclusions: SSc-ILD patients who are overweight are at a lower risk of the functional decline and progressive phenotype especially affecting untreated patients. The close monitoring of lung involvement and a regular BMI measurement are advised and early treatment interventions are encouraged.
Published: 2022
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14. Uncommon presentation of a rare tumour - incidental finding in an asymptomatic patient: case report and comprehensive review of the literature on intrapericardial solitary fibrous tumours

Author: Csilla Czimbalmos, Ibolya Csecs, Miklos Polos, Elektra Bartha, Nikolette Szucs, Attila Toth, Pal Maurovich-Horvat, David Becker, Zoltan Sapi, Zoltan Szabolcs, Bela Merkely, and Hajnalka Vago
Subjects: Solitary fibrous tumour, Intrapericardial localization, Multimodality imaging, Long term follow-up, Case report, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background A solitary fibrous tumour is a rare, mainly benign spindle cell mesenchymal tumour most commonly originating from the pleura. An intrapericardial location of a solitary fibrous tumour is extremely unusual. We present a case of an asymptomatic patient with a slow-growing massive benign cardiac solitary fibrous tumour. Case presentation A 37-year-old asymptomatic female patient was referred to our hospital with an enlarged cardiac silhouette found on her screening chest X-ray. The echocardiographic examination revealed pericardial effusion and an inhomogeneous mobile mass located in the pericardial sac around the left ventricle. Cardiac magnetic resonance (MRI) examination showed an intrapericardial, semilunar-shaped mass attached to the pulmonary trunk with an intermediate signal intensity on proton density-weighted images and high signal intensity on T2-weighted spectral fat saturation inversion recovery images. First-pass perfusion and early and late gadolinium-enhanced images showed a vascularized mass with septated, patchy, inhomogeneous late enhancement. Coronary computed tomography angiography revealed no invasion of the coronaries. Based on the retrospectively analysed screening chest X-rays, the mass had started to form at least 7 years earlier. Complete resection of the tumour with partial resection of the pulmonary trunk was performed. Histological evaluation of the septated, cystic mass revealed tumour cells forming an irregular patternless pattern; immunohistochemically, the cells tested positive for vimentin, CD34, CD99 and STAT6 but negative for keratin (AE1-AE3), CD31 and S100. Thus, the diagnosis of an intrapericardial solitary fibrous tumour was established. There has been no recurrence for 3 years based on the regular MRI follow-up. Conclusion Intrapericardial SFTs, showing slow growth dynamics, can present with massive extent even in completely asymptomatic patients. MRI is exceedingly useful for characterizing intrapericardial masses, allowing precise surgical planning, and is reliable for long-term follow up.
Published: 2017
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15. Overlapping Genetic Background of Coronary Artery and Carotid/Femoral Atherosclerotic Calcification

Author: Anita Hernyes, Marton Piroska, Bence Fejer, Laszlo Szalontai, Helga Szabo, Bianka Forgo, Adam L. Jermendy, Andrea A. Molnar, Pal Maurovich-Horvat, Gyorgy Jermendy, Bela Merkely, David L. Tarnoki, and Adam D. Tarnoki
Subjects: atherosclerosis, multivessel, heritability, genetic correlation, plaque calcification, twin study, Medicine (General), R5-920
Abstract: Background and objectives: Multivessel atherosclerosis and its genetic background are under-investigated, although atherosclerosis is seldom local and still causes high mortality. Alternative methods to assess coronary calcification (CAC) might incorporate genetic links between different arteries’ atherosclerotic involvement, however, co-occurrences of coronary calcification have not been investigated in twins yet. Materials and Methods: We assessed the heritability of radio morphologically distinct atherosclerotic plaque types in coronary (non-enhanced CT, Agatston score), carotid, and femoral arteries (B-mode ultrasound) in 190 twin subjects (60 monozygotic, 35 dizygotic pairs). Four-segment scores were derived in order to assess the dissemination of the distinct plaque types in the carotid and femoral arteries taking bilaterality into account. We calculated the genetic correlation between phenotypically correlating plaque types in these arteries. Results: CAC and dissemination of calcified plaques in the carotid and femoral arteries (4S_hyper) were moderately heritable (0.67 [95% CI: 0.37–1] and 0.69 [95% CI: 0.38–1], respectively) when adjusted for age and sex. Hypoechoic plaques in the carotid and femoral arteries showed no heritability, while mixed plaques showed intermediate heritability (0.50 [95% CI: 0–0.76]). Age and sex-adjusted phenotypic correlation between CAC and 4segm_hyper was 0.48 [95% CI: 0.30–0.63] and the underlying genetic correlation was 0.86 [95% CI: 0.42–1]. Conclusions: Calcification of atherosclerotic plaques is moderately heritable in all investigated arteries and significant overlapping genetic factors can be attributed to the phenotypical resemblance of coronary and carotid or femoral atherosclerotic calcification. Our findings support the idea of screening extracoronary arteries in asymptomatic individuals. We also propose a hypothesis about primarily carotid-coronary and femoral-coronary atherosclerosis as two distinct genetic predispositions to co-localization.
Published: 2021
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16. Computed Tomography Assessment of Coronary Atherosclerosis

Author: Akos Varga-Szemes, Pal Maurovich-Horvat, U. Joseph Schoepf, Emese Zsarnoczay, Robert Pelberg, Gregg W. Stone, and Matthew J. Budoff
Subjects: Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and imaging
Published: 2023

17. Automated segment-level coronary artery calcium scoring on non-contrast CT: a multi-task deep-learning approach

Author: Bernhard Föllmer, Sotirios Tsogias, Federico Biavati, Kenrick Schulze, Maria Bosserdt, Lars Gerrit Hövermann, Sebastian Stober, Wojciech Samek, Klaus F. Kofoed, Pál Maurovich-Horvat, Patrick Donnelly, Theodora Benedek, Michelle C. Williams, and Marc Dewey
Subjects: Coronary artery calcium scoring, Deep learning, Coronary CT, Multi-task learning, Active learning, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract: Abstract Objectives To develop and evaluate a multi-task deep-learning (DL) model for automated segment-level coronary artery calcium (CAC) scoring on non-contrast computed tomography (CT) for precise localization and quantification of calcifications in the coronary artery tree. Methods This study included 1514 patients (mean age, 60.0 ± 10.2 years; 56.0% female) with stable chest pain from 26 centers participating in the multicenter DISCHARGE trial (NCT02400229). The patients were randomly assigned to a training/validation set (1059) and a test set (455). We developed a multi-task neural network for performing the segmentation of calcifications on the segment level as the main task and the segmentation of coronary artery segment regions with weak annotations as an auxiliary task. Model performance was evaluated using (micro-average) sensitivity, specificity, F1-score, and weighted Cohen’s κ for segment-level agreement based on the Agatston score and performing interobserver variability analysis. Results In the test set of 455 patients with 1797 calcifications, the model assigned 73.2% (1316/1797) to the correct coronary artery segment. The model achieved a micro-average sensitivity of 0.732 (95% CI: 0.710–0.754), a micro-average specificity of 0.978 (95% CI: 0.976–0.980), and a micro-average F1-score of 0.717 (95% CI: 0.695–0.739). The segment-level agreement was good with a weighted Cohen’s κ of 0.808 (95% CI: 0.790–0.824), which was only slightly lower than the agreement between the first and second observer (0.809 (95% CI: 0.798–0.845)). Conclusion Automated segment-level CAC scoring using a multi-task neural network approach showed good agreement on the segment level, indicating that DL has the potential for automated coronary artery calcification classification. Critical relevance statement Multi-task deep learning can perform automated coronary calcium scoring on the segment level with good agreement and may contribute to the development of new and improved calcium scoring methods. Key Points Segment-level coronary artery calcium scoring is a tedious and error-prone task. The proposed multi-task model achieved good agreement with a human observer on the segment level. Deep learning can contribute to the automation of segment-level coronary artery calcium scoring. Graphical Abstract
Published: 2024
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18. The reliability of virtual non-contrast reconstructions of photon-counting detector CT scans in assessing abdominal organs

Author: Ibolyka Dudás, Leona Schultz, Márton Benke, Ákos Szücs, Pál Novák Kaposi, Attila Szijártó, Pál Maurovich-Horvat, and Bettina Katalin Budai
Subjects: Photon-counting detector, Computed tomography, Virtual non-contrast, Spectral imaging, Medical technology, R855-855.5
Abstract: Abstract Background Spectral imaging of photon-counting detector CT (PCD-CT) scanners allows for generating virtual non-contrast (VNC) reconstruction. By analyzing 12 abdominal organs, we aimed to test the reliability of VNC reconstructions in preserving HU values compared to real unenhanced CT images. Methods Our study included 34 patients with pancreatic cystic neoplasm (PCN). The VNC reconstructions were generated from unenhanced, arterial, portal, and venous phase PCD-CT scans using the Liver-VNC algorithm. The observed 11 abdominal organs were segmented by the TotalSegmentator algorithm, the PCNs were segmented manually. Average densities were extracted from unenhanced scans (HUunenhanced), postcontrast (HUpostcontrast) scans, and VNC reconstructions (HUVNC). The error was calculated as HUerror=HUVNC–HUunenhanced. Pearson’s or Spearman’s correlation was used to assess the association. Reproducibility was evaluated by intraclass correlation coefficients (ICC). Results Significant differences between HUunenhanced and HUVNC[unenhanced] were found in vertebrae, paraspinal muscles, liver, and spleen. HUVNC[unenhanced] showed a strong correlation with HUunenhanced in all organs except spleen (r = 0.45) and kidneys (r = 0.78 and 0.73). In all postcontrast phases, the HUVNC had strong correlations with HUunenhanced in all organs except the spleen and kidneys. The HUerror had significant correlations with HUunenhanced in the muscles and vertebrae; and with HUpostcontrast in the spleen, vertebrae, and paraspinal muscles in all postcontrast phases. All organs had at least one postcontrast VNC reconstruction that showed good-to-excellent agreement with HUunenhanced during ICC analysis except the vertebrae (ICC: 0.17), paraspinal muscles (ICC: 0.64–0.79), spleen (ICC: 0.21–0.47), and kidneys (ICC: 0.10–0.31). Conclusions VNC reconstructions are reliable in at least one postcontrast phase for most organs, but further improvement is needed before VNC can be utilized to examine the spleen, kidneys, and vertebrae.
Published: 2024
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19. Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging—part II

Author: Gianluca Pontone, Alexia Rossi, Marco Guglielmo, Marc R Dweck, Oliver Gaemperli, Koen Nieman, Francesca Pugliese, Pal Maurovich-Horvat, Alessia Gimelli, Bernard Cosyns, Stephan Achenbach, Clinical sciences, Cardio-vascular diseases, and Cardiology
Subjects: Consensus, Cardiac computed tomography, Radiomics, Computed Tomography Angiography, Coronary Stenosis, Coronary Artery Disease, General Medicine, EACVI Document, Coronary Angiography, artificial intelligence, Coronary Vessels, myocardial ischaemia, Fractional Flow Reserve, Myocardial, plaque imaging, FFRCT, coronary computed tomography angiography (CCTA), Predictive Value of Tests, FRACTIONAL FLOW RESERVE, CT perfusion imaging, Humans, Radiology, Nuclear Medicine and imaging, Structural heart disease, Cardiology and Cardiovascular Medicine, cardiomyopathy
Abstract: Cardiac computed tomography (CT) was initially developed as a non-invasive diagnostic tool to detect and quantify coronary stenosis. Thanks to the rapid technological development, cardiac CT has become a comprehensive imaging modality which offers anatomical and functional information to guide patient management. This is the second of two complementary documents endorsed by the European Association of Cardiovascular Imaging aiming to give updated indications on the appropriate use of cardiac CT in different clinical scenarios. In this article, emerging CT technologies and biomarkers, such as CT-derived fractional flow reserve, perfusion imaging, and pericoronary adipose tissue attenuation, are described. In addition, the role of cardiac CT in the evaluation of atherosclerotic plaque, cardiomyopathies, structural heart disease, and congenital heart disease is revised.
Published: 2022

20. EACVI survey on burnout amongst cardiac imaging specialists during the 2019 coronavirus disease pandemic

Author: Shruti S Joshi, Ivan Stankovic, Ahmet Demirkiran, Kristina Haugaa, Pal Maurovich-Horvat, Bogdan A Popescu, Bernard Cosyns, Thor Edvardsen, Steffen E Petersen, Ricardo Fontes Carvalho, Matteo Cameli, Marc R Dweck, Clinical sciences, Cardio-vascular diseases, and Cardiology
Subjects: SARS-CoV-2, Surveys and Questionnaires, COVID-19, Humans, Burnout, AcademicSubjects/MED00200, Radiology, Nuclear Medicine and imaging, Prospective Studies, General Medicine, EACVI Document, Cardiology and Cardiovascular Medicine, Burnout, Professional, Pandemics
Abstract: Aims The European Association of Cardiovascular Imaging Scientific Initiatives Committee conducted a global survey to evaluate the impact of the 2019 coronavirus disease (COVID-19) pandemic on the mental well-being of cardiac imaging specialists. Methods and results In a prospective international survey performed between 23 July 2021 and 31 August 2021, we assessed the mental well-being of cardiac imaging specialists ∼18 months into the COVID-19 pandemic. One-hundred-and-twenty-five cardiac imaging specialists from 34 countries responded to the survey. More than half described feeling anxious during the pandemic, 34% felt melancholic, 27% felt fearful, and 23% respondents felt lonely. A quarter of respondents had increased their alcohol intake and more than half reported difficulties in sleeping. Two-thirds of respondents described worsening features of burnout during the past 18 months, 44% considered quitting their job. One in twenty respondents had experienced suicidal ideation during the pandemic. Despite these important issues, the majority of participants (57%) reported having no access to any formal mental health support at work. Conclusion The survey has highlighted important issues regarding the mental well-being of cardiac imaging specialists during the COVID-19 pandemic. This is a major issue in our sub-specialty, which requires urgent action and prioritization so that we can improve the mental health of cardiovascular imaging specialists.
Published: 2022

21. Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks

Author: Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, Cato Chan, Barry D. Pressman, Peter Julien, Peter Chen, Judit Simon, Pal Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, and Piotr Slomka
Subjects: Radiology, Nuclear Medicine and imaging
Published: 2022

22. Initial Invasive or Conservative Strategy for Stable Coronary Disease

Author: Maron D. J., Hochman J. S., Reynolds H. R., Bangalore S., O'Brien S. M., Boden W. E., Chaitman B. R., Senior R., Lopez-Sendon J., Alexander K. P., Lopes R. D., Shaw L. J., Berger J. S., Newman J. D., Sidhu M. S., Goodman S. G., Ruzyllo W., Gosselin G., Maggioni A. P., White H. D., Bhargava B., Min J. K., John Mancini G. B., Berman D. S., Picard M. H., Kwong R. Y., Ali Z. A., Mark D. B., Spertus J. A., Krishnan M. N., Elghamaz A., Moorthy N., Hueb W. A., Demkow M., Mavromatis K., Bockeria O., Peteiro J., Miller T. D., Szwed H., Doerr R., Keltai M., Selvanayagam J. B., Gabriel Steg P., Held C., Kohsaka S., Mavromichalis S., Kirby R., Jeffries N. O., Harrell F. E., Rockhold F. W., Broderick S., Bruce Ferguson T., Williams D. O., Harrington R. A., Stone G. W., Rosenberg Y, ISCHEMIA Research Group: Joseph Ricci, A Tello Montoliu, A I Robero Aniorte, Abbey Mulder, Abhay A Laddu, Abhinav Goyal, Abhishek Dubey, Abhishek Goyal, Abigail Knighton, Abraham Oomman, Adam J Jaskowiak, Adam Kolodziej, Adam Witkowski, Adnan Hameed, Adriana Anesini, Afshan Hussain, Agne Juceviciene, Agne Urboniene, Agnes Jakal, Agnieszka Szramowska, Ahmad Khairuddin, Ahmed Abdel-Latif, Ahmed Adel, Ahmed Aljzeeri, Ahmed Kamal, Ahmed Talaat, Aimee Mann, Aira Contreras, Ajit Kumar, V K Kumar, Akemi Furukawa, Akshay Bagai, Akvile Smigelskaite, Alain Furber, Alain Rheault, Alaine Melanie Loehr, Alan Rosen, Albert Varga, Albertina Qelaj, Alberto Barioli, Aldo Russo, Alec Moorman, Alejandro Gisbert, Aleksandra Fratczak, Aleksandras Laucevicius, Alena Kuleshova, Alessandro Sionis, Alexander A Sirker, Alexander M Chernyavskiy, Alexandra Craft, Alexandra Vazquez, Alexandre Ciappina Hueb, Alexandre S Colafranseschi, Alexandre Schaan de Quadros, Alexandre Tognon, Ali Alghamdi, Alice Manica Muller, Aline Nogueira Rabaça, Aline Peixoto Deiro, Alison Hallam, Allegra Stone, Allison Schley, Almudena Castro, Alvaro Rabelo Ales, Amanda Germann, Amanda O'Malley, Amar Uxa, Amarachi Ojajuni, Amarino C Oliveira Jr, Amber B Hull, Ambuj Roy, Amer Zarka, Amir Janmohamed, Ammani Brown, Ammy Malinay, Amparo Martinez Monzonis, Amy J Richards, Amy Iskandrian, Amy Ollinger, Ana D Djordjevic-Dikic, Ana Fernández Martínez, Ana Gomes Almeida, Ana Paula Batista, Ana Rita Francisco, Ana S Mladenovic, Ana Santana, Anam Siddiqui, Anastasia M Kuzmina-Krutetskaya, Andras Vertes, Andre S Sousa, Andre Gabriel, André Schmidt, Andrea M Lundeen, Andrea Bartykowszki, Andrea Lorimer, Andrea Mortara, Andrea Pascual, Andreia Coelho, Andreia Rocha, Andrés García-Rincón, Andrew G Howarth, Andrew J Moriarty, Andrew Docherty, Andrew Starovoytov, Andrew Zurick, Andrzej Łabyk, Andrzej Swiatkowski, Andy Lam, Anelise Kawakami, Angela Hoye, Angela Kim, Angelique Smit, Angelo Nobre, Anil V Shah, Anja Ljubez, Anjali Anand, Ankush Sachdeva, Ann Greenberg, Ann Luyten, Ann Ostrander, Anna Di Donato, Anna Cichocka-Radwan, Anna Fojt, Anna Plachcinska, Anna Proietti, Anna Teresinska, Anne Marie Webb, Anne Cartwright, Anne Heath, Anne Mackin, Anong Amaritakomol, Anong Chaiyasri, Anoop Chauhan, Anoop Mathew, Anthony Gemignani, Anto Luigi Andres, Antonia Vega, Antonietta Hansen, Antonino Ginel Iglesias, Antonio Carlos Carvalho, Antonio Di Chiara, Antonio Serra Peñaranda, Antonio Carvalho, Antonio Colombo, Antonio Fiarresga, Anupama Rao, Aquiles Valdespino-Estrada, Araceli Boan, Areef Ishani, Ariel Diaz, Arijit Ghosh, Arintaya Prommintikul, Arline Roberts, Arnold H Seto, Arnold P Good, Arshed Quyyumi, Arthur J Labovitz, Arthur Kerner, Arturo S Campos-Santaolalla, Arunima Misra, Ashok Mukherjee, Ashok Seth, Ashraf Seedhom, Asim N Cheema, Asker Ahmed, Atul Mathur, Atul Verma, Audrey W Leong, Axel Åkerblom, Axelle Fuentes, Aynun Naher, Badhma Valaiyapathi, Baljeet Kaur, Bandula Guruge, Barbara Brzezińska, Barbara Nardi, Bartosz Czarniak, Bebek Singh, Begoña Igual, Bela Merkely, Belen Cid Alvarez, Benjamin J Spooner, Benjamin J W Chow, Benjamin Cheong, Benoy N Shah, Bernard de Bruyne, Bernardas Valecka, Bernhard Jäger, Beth A Archer, Beth Abramson, Beth Jorgenson, Bethany Harvey, Betsy O'Neal, Bev Atkinson, Bev Bozek, Bevin Lang, Bijulal Sasidharan, Bin Yang, Bin Zhang, Binoy Mannekkattukudy Kurian, Bjoern Goebel, Bob Hu, Bogdan A Popescu, Bogdan Crnokrak, Bolin Zhu, Bonnie J Kirby, Brandi D Zimbelman, Brandy Starks, Branko D Beleslin, Brenda Hart, Brian P Shapiro, Brian McCandless, Brianna Wisniewski, Brigham R Smith, Brooks Mirrer, Bruce McManus, Bruce Rutkin, Bruna Edilena Paulino, Bruna Maria Ascoli, Bryn Smith, Byron J Allen, C Michael Gibson, C Noel Bairey Merz, Calin Pop, Cameron Hague, Camila Thais de Ormundo, Candace Gopaul, Candice P Edillo, Carísi A Polanczyk, Carita Krannila, Carla Vicente, Carl-Éric Gagné, Carlo Briguori, Carlos Peña Gil, Carlos Alvarez, Carly Ohmart, Carmen C Beladan, Carmen Ginghina, Carol M Kartje, Caroline Alsweiler, Caroline Brown, Caroline Callison, Caroline Pinheiro, Caroline Rodgers, Caroline Spindler, Carolyn Corbett, Carrie Drum, Casey Riedberger, Catherine Bone, Catherine Fleming, Catherine Gordon, Catherine Jahrsdorfer, Catherine Lemay, Catherine Weick, Cathrine Patten, Cecilia Goletto, Cezary Kepka, Chandini Suvarna, Chang Xu, Chantale Mercure, Charle A Viljoen, Charlene Wiyarand, Charles Jia-Yin Hou, Charles Y Lui, Charles Cannan, Charles Cornet, Charlotte Pirro, Chataroon Rimsukcharoenchai, Chen Wang, Cheng-Ting Tsai, Chen-Yen Chien, Cheryl A Allardyce, Chester M Hedgepeth, Chetan Patel, Chiara Attanasio, Chih-Hsuan Yen, Chi-Ming Chow, Ching Min Er, Ching-Ching Ong, Cholenahally Nanjappa Manjunath, Chris Beck, Chris Buller, Christel Vassaliere, Christian Hamm, Christiano Caldeira, Christie Ballantyne, Christina Björklund, Christine R Hinton, Christine Bergeron, Christine Masson, Christine Roraff, Christine Shelley, Christophe Laure, Christophe Thuaire, Christopher Kinsey, Christopher McFarren, Christopher Spizzieri, Christopher Travill, Chun-Chieh Liu, Chung-Lieh Hung, Chunguang Li, Chun-Ho Yun, Chunli Xia, Ciarra Heard, Cidney Schultz, Clare Venn-Edmonds, Claudia P Hochberg, Claudia Wegmayr, Claudia Cortés, Claudia Escobar, Cláudia Freixo, Claudio T Mesquita, Clemens T Kadalie, Colin Berry, Constance Philander, Corine Thobois, Costantino Costantini, Courtney Page, Craig Atkinson, Craig Barr, Craig Paterson, Cristina Bare, Cynthia Baumann, Cynthia Burman, Dalisa Espinosa, Damien Collison, Dan Deleanu, Dan Elian, Dan Gao, Dana Oliver, Daniel P Vezina, Daniel O'Rourke, Daniele Komar, Danielle Schade, Darrel P Francis, Dastan Malaev, David A Bull, David E Winchester, David P Faxon, David Booth, David Cohen, David DeMets, David Foo, David Schlichting, David Taggart, David Waters, David Wohns, Davis Vo, Dawid Teodorczyk, Dawn Shelstad, Dawn Turnbull, Dayuan Li, Dean Kereiakes, Deborah O'Neill, Deborah Yip, Debra K Johnson, Debra Dees, Deepak L Bhatt, Deepika Gopal, Deepti Kumar, Deirdre Mattina, Deirdre Murphy, Delano R Small, Delsa K Rose, Dengke Jiang, Denis Carl Phaneuf, Denise Braganza, Denise Fine, Derek Cyr, Desiree Tobin, Diana Cukali, Diana Parra, Diane Camara, Diane Minshall Liu, Diego Adrián Vences, Diego Franca de Cunha, Dimitrios Stournaras, Dipti Patel, Dongze Li, Donna Exley, Dorit Grahl, Dragana Stanojevic, Duarte Cacela, Dwayne S G Conway, E Pinar Bermudez, Eapen Punnoose, Edgar L Tay, Edgar Karanjah, Edoardo Verna, Eduardo Hernandez-Rangel, Edward D Nicol, Edward O McFalls, Edward T Martin, Edyta Kaczmarska, Ekaterina I Lubinskaya, Elena A Demchenko, Elena Refoyo Salicio, Eli Feen, Elihú Durán-Cortés, Elisabeth M Janzen, Elise L Hannemann, Elise van Dongen, Elissa Restelli Piloto, Eliza Kaplan, Elizabeta Srbinovska Kostovska, Elizabeth Capasso-Gulve, Elizabeth Congdon, Elizabeth Ferguson, Elizaveta V Zbyshevskaya, Ellen Magedanz, Ellie Fridell, Ellis W Lader, Elvin Kedhi, Emanuela Racca, Emilie Tachot, Emily DeRosa, Encarnación Alonso-Álvarez, Eric Nicollet, Eric Peterson, Erick Alexánderson Rosas, Erick Donato Morales, Erin Orvis, Ermina Moga, Estelle Montpetit, Estevao Figueiredo, Eugene Passamani, Eugenia Nikolsky, Eunice Yeoh, Evgeniy I Kretov, Ewa Szczerba, Ewelina Wojtala, Expedito Eustáquio Ribeiro Silva, F Marin Ortuño, Fabio R Farias, Fabio Fimiani, Fabrizio Rolfo, Fa-Chang Yu, Fadi Hage, Fadi Matar, Fahim Haider Jafary, Fang Feng, Fang Liu, Fatima Ranjbaran, Fatima Rodriguez, Fausto J Pinto, Fauzia Rashid, Federica Ramani, Fei Wang, Fernanda Igansi, Filipa Silva, Filippo Ottani, Fiona Haines, Firas Al Solaiman, Flávia Egydio, Flavio Lyra, Florian Egger, Fran Farquharson, Frances Laube, Francesc Carreras Costa, Francesca de Micco, Francesca Bianchini, Francesca Pezzetta, Francesca Pietrucci, Francesco Orso, Francesco Pisano, Francis Burt, Francisca Patuleia Figueiras, Francisco Fernandez-Aviles, Francois Pierre Mongeon, Frans Van de Werf, Franziska Guenther, Fraser N Witherow, Fred Mohr, Frederico Dall'Orto, Fumiyuki Otsuka, G De La Morena, G Karthikeyan, Gabor Dekany, Gabor Kerecsen, Gabriel Galeote, Gabriel Grossmann, Gabriel Vorobiof, Gabriela Sanchez de Souza, Gabriela Guzman, Gabriela Zeballos, Gabriele Gabrielli, Gabriele Jakl-Kotauschek, Gail A Shammas, Gail Brandt, Gang Chen, Gary E Lane, Gary J Luckasen, Gautam Sharma, Gelmina Mikolaitiene, Gennie Yee, Georg Nickenig, George E Revtyak, George J Juang, Gerald Fletcher, Gerald Leonard, Gerard Patrick Devlin, Gerard Esposito, Gergely Ágoston, Gervasio Lamas, Geza Fontos, Ghada Mikhail, Gia Cobb, Gian Piero Perna, Gianpiero Leone, Giles Roditi, Gilles Barone-Rochette, Girish Mishra, Giuseppe Tarantini, Glenda Wong, Glenn S Hamroff, Glenn Rayos, Gong Cheng, Gonzalo Barge-Caballero, Goran Davidović, Goran Stankovic, Gordana Stevanovic, Grace Jingyan Wang, Grace M Young, Graceanne Wayser, Graciela Scaro, Graham S Hillis, Graham Wong, Grazyna Anna Szulczyk, Gregor Simonis, Gregory Kumkumian, Gretchen Ann Peichel, Grzegorz Gajos, Gudrun Steinmaurer, Guilherme G Rucatti, Guilherme Portugal, Guilhermina Cantinho Lopes, Guillem Pons Lladó, Gunnar Frostfelt, Gurpreet S Wander, Gurpreet Gulati, Gustavo Pucci, Hafidz Abd Hadi, Haibo Zhang, Haitao Wang, Halina Marciniak, Han Chen, Hanan Kerr, Hani Najm, Hanna Douglas, Hannah Phillips, Hao Dai, Haojian Dong, Haqeel Jamil, Harikrishnan Sivadasanpillai, Harry Suryapranata, Hassan Reda, Hayley Pomeroy, Heather Barrentine, Heather Golden, Heather Hurlburt, Heidi Wilson, Helen C Tucker, Helene Abergel, Hemalata Siddaram, Hermine Osseni, Herwig Schuchlenz, Hesong Zeng, Hicham Skali, Hilda Solomon, Hollie Horton, Holly Hetrick, Holly Little, Holly Park, Hongjie Chi, Hossam Mahrous, Howard A Levite, Hristo Pejkov, Huajun Li, Hugo Bloise-Adames, Hugo Marques, Hui Zhong, Hui-Min Zhang, Humayrah Hashim, Hung-I Yeh, Hussien El Fishawy, Ian Webb, Iftikhar Kullo, Igor O Grazhdankin, Ihab Hamzeh, Ikraam Hassan, Ikuko Ueda, Ileana L Pina, Ilona Tamasauskiene, Ilse Bouwhuis, Imran Arif, Ina Wenzelburger, Inês Zimbarra Cabrita, Ines Rodrigues, Inga H Robbins, Inga Soveri, Ingela Schnittger, Iqbal Karimullah, Ira M Dauber, Iram Rehman, Irena Peovska Mitevska, Irene Marthe Lang, Irina Subbotina, Irma Kalibataite-Rutkauskiene, Irni Yusnida, Isabel Estela Carvajal, Isabella C Palazzo, Isabelle Hogan, Isabelle Roy, Ishba Syed, Ishita Tejani, Ivan A Naryshkin, Ivana Jankovic, Iwona Niedzwiecka, J David Knight, Jacek Kusmierek, Jackie M White, Jackie Chow, Jacob Udell, Jacqueline E Tamis-Holland, Jacqueline Fannon, Jacquelyn A Quin, Jacquelyn Do, Jaekyeong Heo, Jakub Maksym, James E Davies, James H O'Keefe Jr, James J Jang, James Cha, James Harrison, James Hirsch, James Stafford, James Tatoulis, Jamie Rankin, Jan Henzel, Jan Orga, Jana Tancredi, Janaina Oliveira, Jane Burton, Jane Eckstein, Jane Marucci, Janet P Knight, Janet Blount, Janet Halliday, Janetta Kourzenkova, Janitha Raj, Jan-Malte Sinning, Jaqueline Pozzibon, Jaroslaw Drozdz, Jaroslaw Karwowski, Jason D Glover, Jason Loh Kwok, Jason T Call, Jason Linefsky, Jassira Gomes, Jati Anumpa, Javier J Garcia, Javier Courtis, Jay Meisner, K Jayakumar, Jayne Scales, Jean E Denaro, Jean Michel Juliard, Jean Ho, Jeanette K Stansborough, Jean-Michel Juliard, Jeanne Russo, Jeannette J M Schoep, Jeet Thambyrajah, Jeff Leimberger, Jeffery A Breall, Jeffrey A Kohn, Jeffrey C Milliken, Jeffrey Anderson, Jeffrey Blume, Jeffrey Kanters, Jeffrey Lorin, Jeffrey Moses, Jelena J Stepanovic, Jelena Celutkiene, Jelena Djokic, Jelena Stojkovic, Jenne M Jose, Jenne Manchery, Jennifer A Mull, Jennifer H Czerniak, Jennifer L Stanford, Jennifer Gillis, Jennifer Horst, Jennifer Isaacs, Jennifer Langdon, Jennifer Thomson, Jennifer Tomfohr, Jennifer White, Jen-Yuan Kuo, Jeremy Rautureau, Jerome Fleg, Jessica Berg, Jessica Rodriguez, Jessica Waldron, Jhina Patro, Jia Li, Jiajia Mao, Jiamin Liu, Jian'an Wang, Jianhua Li, Jianxin Zhang, Jie Qi, Jihyun Lyo, Jill Marcus, Jim Blankenship, Jing Zhang, Jingjing Liu, Jing-Yao Fan, Jiun-Yi Li, Jiwan Pradhan, Jiyan Chen, J M Rivera Caravaca, Jo Evans, Joan Garcia Picart, Joan Hecht, Joanna Jaroch, Joanna Zalewska, Joanne Kelly, Joanne Taaffe, João Reynaldo Abbud, João V Vitola, Joaquín V Peñafiel, Jocelyne Benatar, Jody Bindeman, Joe Sabik, Joel Klitch, Johann Christopher, Johannes Aspberg, John D Friedman, John F Beltrame, John F Heitner, John Joseph Graham, John R Davies, John Doan, John Kotter, John Kurian, John Mukai, John Pownall, Jolanta Sobolewska, Jon Kobashigawa, Jonathan L Goldberg, Jonathan W Bazeley, Jonathan Byrne, Jonathan Himmelfarb, Jonathan Leipsic, Jonean Thorsen, Jorge F Trejo Gutierrez, Jorge Escobedo, Jorik Timmer, José A Ortega-Ramírez, José Antonio Marin-Neto, Jose D Salas, Jose Enrique Castillo, Jose Francisco Saraiva, José J Cuenca-Castillo, Jose L Diez, José Luis Narro Villanueva, José Luiz da Vieira, José M Flores-Palacios, Jose Ramon Gonzalez, Jose Seijas Amigo, Jose Fragata, Josep Maria Padró, Josheph F X McGarvey Jr, Joseph Hannan, Joseph Sacco, Joseph Sweeny, Joseph Wiesel, Josephine D Abraham, Joshua P Loh, Joy Burkhardt, Joyce R White, Joyce Riestenberg-Smith, Judit Sebo, Judith L Meadows, Judith Wright, Judy Mae Foltz, Judy Hung, Judy Otis, Juergen Stumpf, Jui-Peng Tsai, Julia S Dionne, Julia de Aveiro Morata, Julie Bunke, Julie Morrow, Julio César Figal, Jun Fujita, Jun Jiang, Junhua Li, Junqing Yang, Juntima Euathrongchit, Jyotsna Garg, K Manjula Rani, K Preethi, Kaatje Goetschalckx, Kai Eggers, Kamalakar Surineni, Kanae Hirase, T R Kapilamoorthy, Karen Calfas, Karen Gratrix, Karen Hallett, Karen Hultberg, Karen Nugent, Karen Petrosyan, Karen Swan, Karolina Kryczka, Karolina Wojtczak-Soska, Karolina Wojtera, Karsten Lenk, Karthik Ramasamy, Katarzyna Łuczak, Katarzyna Malinowska, Kate Pointon, Kate Robb, Katherine Martin, Kathleen Claes, Kathryn Carruthers, Kathy E Siegel, Katia Drouin, Katie Fowler-Lehman, Kavita Rawat, Kay Rowe, Keiichi Fukuda, Keith A A Fox, Ken Mahaffey, Kendra Unterbrink, Kenneth Giedd, Kerrie Van Loo, Kerry Lee, Kerstin Bonin, Kevin R Bainey, Kevin T Harley, Kevin Anstrom, Kevin Chan, Kevin Croce, Kevin Landolfo, Kevin Marzo, Keyur Patel, Khaled Abdul-Nour, Khaled Alfakih, Khaled Dajani, Khaled Ziada, Khaula Baloch, Khrystyna Kushniriuk, Kian-Keong Poh, Kim F Ireland, Kim Holland, Kimberly Ann Byrne, Kimberly E Halverson, Kimberly Elmore, Kimberly Miller-Cox, Kiran Reddy, Kirsten J Quiles, Kirsty Abercrombie, Klaus Matschke, Konrad Szymczyk, Koo Hui Chan, Kotiboinna Preethi, Kozhaya Sokhon, Krissada Meemuk, Kristian Thygesen, Kristin M Salmi, Kristin Newby, Kristina Wippler, Kristine Arges, Kristine Teoh, Krystal Etherington, Krystyna Łoboz-Grudzień, Krzysztof W Reczuch, Krzysztof Bury, Krzysztof Drzymalski, Krzysztof Kukuła, Kuo-Tzu Sung, Kurt Huber, Ladda Douangvila, Lance Sullenberger, Larissa Miranda Trama, Laszlone Matics, Laura Drew, Laura Flint, Laura Keinaite, Laura Sarti, Laurel Kolakaluri, Lawrence M Phillips, Lawrence Friedman, Lawrence Phillips, Lazar Velicki, Leah Howell, Leandro C Maranan, Leanne Cox, Ledjalem Daba, Lei Zhang, Lekshmi Dharmarajan, Leo Bockeria, Leonardo Pizzol Caetano, Leonardo Bridi, Leonid L Bershtein, Leszek Sokalski, Li Hai Yan, Li Li, Lia Nijmeijer, Lidia Sousa, Lihong Xu, Lihua Zhang, Lili Zhang, Lilia Schiavi, Lilian Mazza Barbosa, Lillian L Khor, Lina Felix-Stern, Linda L Hall, Linda M Hollenweger, Linda Arcand, Linda Davidson-Ray, Linda Schwarz, Lindsey N Sikora, Lingping Chi, Lino Patricio, Liping Zhang, Lisa Chaytor, Lisa Hatch, Lisa McCloy, Lisa Wong, Liselotte Persson, Lixin Jiang, Liz Low, Ljiljana Pupic, Loïc Bière, Lorenzo Monti, Lori Christensen, Lori Pritchard, Loriane Black, Lori-Ann Desimone, Lori-Ann Larmand, Lorraine McGregor, Louise Morby, Louise Thomson, Luc Harvey, Luciana de Pádua Baptista, Lucilla Garcia, Ludivine Eliahou, Ludmila Helmer, Luis F Smidt, Luis Bernanrdes, Luis Guzman, Luiz A Carvalho, Luyang Xiong, Lynette L Teo, Lynn M Neeson, Lynne Winstanley, M Barbara Srichai-Parsia, M Quintana Giner, M Sowjanya Reddy, M Valdés Chávarri, M Grazia Rossi, Maarten Simoons, Maayan Konigstein, Maciej Lesiak, Maciej Olsowka, Mafalda Selas, Magalie Corfias, Magdalena Madero Rovalo, Magdalena Łanocha, Magdalena Miller, Magdalena Misztal-Teodorczyk, Magdalena Rantinella, Magdy Abdelhamid, Magnolia Jimenez, Mahboob Alam, Mahevamma Mylarappa, Mahfouz El Shahawy, Mahmoud Mohamed, Mahmud Al-Bustami, Majo X Joseph, Malgorzata Frach, Małgorzta Celińska-Spodar, Malte Helm, Manas Chacko, Mandy Murphy, Manitha Vinod, Manjula Rani, Manu Dhawan, Manuela Mombelli, Marcel Weber, Marcello Galvani, Marcelo Jamus Rodrigues, Marcia F Dubin, Marcia F Werner Bayer, Marcin Szkopiak, Marco Antonio Monsalve, Marco Bizzaro Santos, Marco Magnoni, Marco Marini, Marco Sicuro, Marco Zenati, Marcos Valério Coimbra Resende, Marek Roik, Margalit Bentzvi, Margaret Gilsenan, Margaret Iraola, Margot C 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Jr, Matthew Budoff, Matthew Jezior, Matthew Luckie, Matthias Friedrich, Mauren P Haeffner, Maximilian Tscharre, Max-Paul Winter, Mayana Almeida, Mayil S Krishnam, Mayuri Patel, Meenakshi Mishra, Megan Manocchia, Meghana Kakade, Melanie J Munro, Melissa D Chaplin, Melissa LeFevre, Mervyn Andiapen, Michael A Gibson, Michael B Rubens, Michael C Turner, Michael D Shapiro, Michael W Lee, Michael Berlowitz, Michael Davidson, Michael Mack, Michael McDaniel, Michael Mumma, Michal Wlodarczyk, Michel G Khouri, Michel S Slama, Michele Rawlins, Michelle M Bonner, Michelle M Seib, Michelle Chang, Michelle Crowder, Michelle Dixon, Michelle Mayon, Michelle McEvoy, Michelle Yee, Miguel M Fernandes, Miguel Nobre Menezes, Miguel Souto Bayarri, Miguel Barrero, Mikhail T Torosoff, Milan R Dobric, Milan Dobric, Milica Nikola Dekleva, Milind Avdhoot Gadkari, Millie Gomez, Min Tun Kyaw, Miriam Brooks, Miroslav Stevo Martinovic, Mitchel B Lustre, Mohammad Tariq Vakani, Mohammad El-Hajjar, Mohammed Al-Amoodi, Mohammed Hussain, Mohammed Saleem, Moisés Blanco-Calvo, Moisés Jiménez-Santos, Mona Bhatia, Monica Rosca, Monika Laukyte, Montserrat Gracida Blanca, Montserrat Vila Perales, Mouaz H Al-Mallah, Moysés de Oliveira Filho, Mpiko Ntsekhe, Muhamed Saric, Mulei Chen, Myriam Brousseau, Myrthes Emy Takiuti, Nada Cemerlic-Adjic, Nadia Asif, Nadia Gakou, Nafisa Hussain, Nana O Katamadze, Nancy L Clapp, Nancy Aedy, Nandita Nataraj, Nanette K Wenger, Naomi Uchida, Nasrul Ismail, Natalia S Oliveira, Natalia de Carvalho Maffei, Natalie Spitzer, Natasha C Putnam, Naved Aslam, Neamat Mowafy, Neeraj Pandit, Neeraj Parakh, Nevena Garcevic, Ngaire Meadows, Nhi N Tran, Nicholas Danchin, Nicki Lakeman, Nicola Johnston, Nicolas W Shammas, Nicole Saint Vrestil, Nicole Deming, Nier Zhong, Niket Patel, Nikola N Boskovic, Nikolaos Karogiannis, Nikos Werner, Nina Johnston, Ning Zhang, Ning Zhou, Niree Hindoyan, Nirmal Kumar, Nitika Chadha, Nitish Naik, Nodira Aripova, Noloyiso Mtana, Nona A Eskelson, Noor Syamira 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Paula García-González, Paulo Cury Rezende, Paulo Ricardo Caramori, Pavel S Kozlov, Pedro Canas Silva, Pedro Gabriel Melo Barros E Silva, Pedro Píccaro de Oliveira, Pedro Carvalho, Pedro Modas, Pedro Rio, Peeyush Jain, Peiyu He, Peter A McCullough, Peter H Stone, Peter M Pollak, Peter Douglass, Peter Henriksen, Peter OKane, Peter Ong, Philip Jones, Philip Rogal, Philippe Généreux, Philippe Menasche, Philippe Rheault, Phoebe Goold, Pierre Gervais, Pierre Michaud, Pilar Calvillo, Ping Chai, Piotr Jakubowski, Piotr Pruszczyk, Piotr Slomka, Piyamitr Sritara, Poay-Huan Loh, Poonam Sonawane, Pouneh Samadi, Pragnesh P Parikh, Prakash Deedwania, Pranav M Patel, Praneeth Polamuri, Pratiksha Sharma, Precilia Vasquez, Preeti Kamath, Prince Thomas, Priyadarshani Arambam, Puja K Mehta, Purvez Grant, Pushpa Naik, Qi Zhong, Qian Zhao, Qiang Zhou, Qianqian Yuan, Qin Yu, Qingxian Li, Qiulan Xie, Qiutang Zeng, R J Vindhya, R James Gerlach, Rachel King, Rada Vučić, Radmila Lyubarova, Radoslaw Pracon, 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Stephanie M Lane, Stephanie Ferket, Stephanie Kelly, Stephanie Wasmiller, Stephen H McKellar, Stephen P Hoole, Stephen Fremes, Stephen Preston, Steve Leung, Steven A Fein, Steven J Lindsay, Steven P Sedlis, Steven Giovannone, Steven Michael, Steven Weitz, Stijn van Vugt, Subhash Banerjee, Sudhir Naik, Suellen Hosino, Sukie Desire, Sukit Yamwong, Suku T Thambar, Sulagna Mookherjee, Suman Singh, Sundeep Mishra, Sunil Kumar Verma, Supap Kulthawong, Supatchara Khwakhong, Surendra Naik, Suresh Babu, Surin Woragidpoonpol, Suryaprakash Narayanappa, Susan Derbyshire, Susan Gent, Susan Mathus, Susan Milbrandt, Susan Moore, Susan Regan, Susan Stinson, Susan Webber, Susana Silva, Susanna Stevens, Susanne Gruensfelder, Suthara Aramcharoen, Suvarna Kolhe, Suzana Tavares, Suzanne Arnold, Suzanne Welsh, Svetlana Apostolovic, Swapna Kunhunny, Ta-Chuan Hung, Taissa Zappernick, Tali Sharir, Talita Silva, Tamara Colaiácovo Soares, Tapan Umesh Pillay, Tarun K Mittal, Tatiana Trifonova, Tauane Bello Duarte, Tauqir Huk, Téodora Dutoiu, Terrance Chua, Terry Weyand, Thabitha Charles, Theodoros Kofidis, Theresa McCreary, Thierry Lefevre, Thippeekaa Arumairajah, Thitipong Tepsuwan, Thomas J Mulhearn, Thomas M Meyer, Thomas P Rocco, Thomas R Downes, Thomas Crain, Thomas Haldis, Thomas Mathew, Thomas Redick, Thounaojam Indira Devi, Thuraia Nageh, Tia Cauthren, Tiago Silva, Tiffany Little, Tijana Andric, Tina Harding, Titus Lau, Tiziana Formisano, Tiziano Moccetti, Tomasz Ciurus, Tomasz Mazurek, Tomasz Tarchalski, Toshiyuki Nagai, Tri Tran, Tricia Youn, Trish Tucker, Trudie Milner, Tuhina Bose, Tushar Kotecha, Udo Sechtem, Uma S Valeti, Umberto Cucchini, Umesh Badami, Upendra Kaul, V K Bahl, V S Narain, Valentina Casali, Valeria Godoy, Valerie Robesyn, Vamshi P Priya, Vandana Yadav, Vera McKinney, Veronica De Lenges, Veronica Tinnirello, Vicente Miro, Victor Navarro, Victoria Gumerova, Victoria Hernandez, Vidya Seeratan, Vijay Kumar, Vikentiy Y Kozulin, Viktoria Bulkley, Vilmar Veiga Jr, Vincent Setang, C P Vineeth, Virginai Pubull Nuñez, Virginia Fernández-Figares, Vitor Gomes, Viviana Gabriel, Viviane Dos Santos, Viviane Almeida, Vlad A Iliescu, Vladan Mudrenovic, Vladimir Dzavik, Vojislav L Giga, Walter Enrique Mogrovejo, Wan Xian Chan, Wanda C Marfori, Wanda Parker, Warangkana Mekara, Wassim Nona, Wayne Old, Wayne Pennachi, Weerachai Nawarawong, Wei Chen, Wei Su, Weibing Xing, Wei-Ren Lan, Wenda Crawford, Wendy L Stewart, Wendy Drewes, Wenhua Lin, William B Abernethy, William D Salerno, William F Fearon, William Vergoni, William Weintraub, Winnie C Sia, Wlodzimierz J Musial, Xacobe Flores-Ríos, Xavier Garcia-Moll Marimon, Xi Su, Xiang Ma, Xiangqiong Gu, Xiao Wang, Xiaomei Li, Xiaowei Yao, Xin Fu, Xin Su, Xin Zeng, Xinchun Yang, Xiuhong Li, Xuehua Fang, Xutong Wang, Yaming Geng, Yan Yan, Yanek Pépin-Dubois, Yanfu Wang, Yang Wang, Yanmeng Tian, Yaping Huang, Yechen Han, Yesenia Zambrano, Yi-Hsuan Yang, Ying Tung Sia, Yining Yang, Yitong Ma, Yolayfi Peralta, Yongjian Wu, Yu Kunwu, Yu Zhao, Yudong Peng, Yueh-Hung Lin, Yulan Zhao, Yumei Dong, Yunhai Zhao, Yutthaphan Wannasopha, Yvonne Taul, Zakir Sahul, Zalina Kudzoeva, Zbigniew Kalarus, Zeljko Z Markovic, Zhen Huang, Zheng Ji, Zhenyu Liu, Zhou Yue, Zhulin Zhang, Zhuxi Li, Zile Singh Meharwal, Ziliang Bai, Zixiang Yu, Zohra Huda, Zoltan Davidovits
Subjects: Male, Cardiac Catheterization, Computed Tomography Angiography, medicine.medical_treatment, Myocardial Ischemia, Coronary Disease, Coronary Artery Disease, Kaplan-Meier Estimate, 030204 cardiovascular system & hematology, Coronary Angiography, ISCHEMIA Research Group, law.invention, Angina, Coronary artery disease, 0302 clinical medicine, Randomized controlled trial, law, Cardiovascular Disease, Myocardial Revascularization, 030212 general & internal medicine, Coronary Artery Bypass, 11 Medical and Health Sciences, Cardiac catheterization, General Medicine, Middle Aged, humanities, Cardiovascular Diseases, Cardiology, Female, Human, medicine.medical_specialty, Ischemia, Article, 03 medical and health sciences, Geriatric cardiology, Percutaneous Coronary Intervention, General & Internal Medicine, Internal medicine, medicine, Humans, Angina, Unstable, Aged, business.industry, Coronary Artery Bypa, Percutaneous coronary intervention, Bayes Theorem, medicine.disease, Heart failure, Quality of Life, business
Abstract: BACKGROUND: Among patients with stable coronary disease and moderate or severe ischemia, whether clinical outcomes are better in those who receive an invasive intervention plus medical therapy than in those who receive medical therapy alone is uncertain. METHODS: We randomly assigned 5179 patients with moderate or severe ischemia to an initial invasive strategy (angiography and revascularization when feasible) and medical therapy or to an initial conservative strategy of medical therapy alone and angiography if medical therapy failed. The primary outcome was a composite of death from cardiovascular causes, myocardial infarction, or hospitalization for unstable angina, heart failure, or resuscitated cardiac arrest. A key secondary outcome was death from cardiovascular causes or myocardial infarction. RESULTS: Over a median of 3.2 years, 318 primary outcome events occurred in the invasive-strategy group and 352 occurred in the conservative-strategy group. At 6 months, the cumulative event rate was 5.3% in the invasive-strategy group and 3.4% in the conservative-strategy group (difference, 1.9 percentage points; 95% confidence interval [CI], 0.8 to 3.0); at 5 years, the cumulative event rate was 16.4% and 18.2%, respectively (difference, -1.8 percentage points; 95% CI, -4.7 to 1.0). Results were similar with respect to the key secondary outcome. The incidence of the primary outcome was sensitive to the definition of myocardial infarction; a secondary analysis yielded more procedural myocardial infarctions of uncertain clinical importance. There were 145 deaths in the invasive-strategy group and 144 deaths in the conservative-strategy group (hazard ratio, 1.05; 95% CI, 0.83 to 1.32). CONCLUSIONS: Among patients with stable coronary disease and moderate or severe ischemia, we did not find evidence that an initial invasive strategy, as compared with an initial conservative strategy, reduced the risk of ischemic cardiovascular events or death from any cause over a median of 3.2 years. The trial findings were sensitive to the definition of myocardial infarction that was used. (Funded by the National Heart, Lung, and Blood Institute and others; ISCHEMIA ClinicalTrials.gov number, NCT01471522.).
Published: 2020

23. Long-term survival benefit of male and multimorbid COVID-19 patients with 5-day remdesivir treatment

Author: Lorinc, Polivka, Jozsef, Gajdacsi, Levente, Fazekas, Szilvia, Sebok, Eniko, Barczi, Edit, Hidvegi, Zoltan, Sutto, Elek, Dinya, Pal, Maurovich-Horvat, Attila J, Szabo, Bela, Merkely, and Veronika, Müller
Subjects: Male, Alanine, SARS-CoV-2, Health Policy, Public Health, Environmental and Occupational Health, Adenosine Monophosphate, COVID-19 Drug Treatment, Coronavirus, Betacoronavirus, Pulmonary Disease, Chronic Obstructive, Humans, Coronavirus Infections, Pandemics, Retrospective Studies
Abstract: Treatment of the coronavirus disease (COVID-19) is still challenging due to the lack of evidence-based treatment protocols and continuously changing epidemiological situations and vaccinations. Remdesivir (RDV) is among the few antiviral medications with confirmed efficacy for specific patient groups. However, real-world data on long-term outcomes for a short treatment course are scarce.This retrospective observational cohort study included real-life data collected during the second and third wave of the COVID-19 pandemic in Hungary (September 1, 2020-April 30, 2021) from inpatients at a University Center (n = 947). Participants consisted of two propensity score-matched cohorts (370/370 cases): Group RDV including patients receiving RDV and supplementary oxygen and Group standard of care (SOC) as control. The primary outcome was the effect of 5-day RDV treatment on 30- and 60-day all-cause mortality. Multivariate analyses were performed to assess the effect of RDV by different covariates.Group RDV included significantly more patients from the alpha variant wave, with greater frequency of comorbidities diabetes and anemia, and larger degree of parenchymal involvement. All-cause mortality at 30- and 60-day were significantly lower in Group RDV compared to Group SOC. Significant risk reduction of 60-day all-cause mortality was observed for RDV treatment in men and patients with COPD or multiple comorbidities.Hospitalized COVID-19 patients with 5-day RDV treatment had significantly lower 30- and 60-day all-cause mortality, despite their more severe clinical condition. Men and patients with multiple comorbidities, including COPD, profited the most from RDV treatment in the long term. Due to the ongoing COVID-19 pandemic, effective treatment regimens are needed for hospitalized patients.
Published: 2022

24. Accuracy of ultra-high resolution and virtual non-calcium reconstruction algorithm for stenosis evaluation with photon-counting CT: results from a dynamic phantom study

Author: Emese Zsarnoczay, Nicola Fink, U. Joseph Schoepf, Daniel Pinos, Jim O’Doherty, Thomas Allmendinger, Junia Hagenauer, Joseph P. Griffith III, Milán Vecsey-Nagy, Pál Maurovich-Horvat, Tilman Emrich, and Akos Varga-Szemes
Subjects: Computed tomography angiography, Coronary stenosis, Heart rate, Phantoms (imaging), Tomography (x-ray computed), Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract: Abstract Background We compared ultra-high resolution (UHR), standard resolution (SR), and virtual non-calcium (VNCa) reconstruction for coronary artery stenosis evaluation using photon-counting computed tomography (PC-CT). Methods One vessel phantom (4-mm diameter) containing solid calcified lesions with 25% and 50% stenoses inside a thorax phantom with motion simulation underwent PC-CT using UHR (0.2-mm slice thickness) and SR (0.6-mm slice thickness) at heart rates of 60 beats per minute (bpm), 80 bpm, and 100 bpm. A paired t-test or Wilcoxon test with Bonferroni correction was used. Results For 50% stenosis, differences in percent mean diameter stenosis between UHR and SR at 60 bpm (51.0 vs 60.3), 80 bpm (51.7 vs 59.6), and 100 bpm (53.7 vs 59.0) (p ≤ 0.011), as well as between VNCa and SR at 60 bpm (50.6 vs 60.3), 80 bpm (51.5 vs 59.6), and 100 bpm (53.7 vs 59.0) were significant (p ≤ 0.011), while differences between UHR and VNCa at all heart rates (p ≥ 0.327) were not significant. For 25% stenosis, differences between UHR and SR at 60 bpm (28.0 vs 33.7), 80 bpm (28.4 vs 34.3), and VNCa vs SR at 60 bpm (29.1 vs 33.7) were significant (p ≤ 0.015), while differences for UHR vs SR at 100 bpm (29.9 vs 34.0), as well as for VNCa vs SR at 80 bpm (30.7 vs 34.3) and 100 bpm (33.1 vs 34.0) were not significant (p ≥ 0.028). Conclusion Stenosis quantification accuracy with PC-CT improved using either UHR acquisition or VNCa reconstruction. Relevance statement PC-CT offers to scan with UHR mode and the reconstruction of VNCa images both of them could provide improved coronary stenosis quantification at increased heart rates, allowing a more accurate stenosis grading at low and high heart rates compared to SR. Key Points Evaluation of coronary stenosis with conventional CT is challenging at high heart rates. PC-CT allows for scanning with ECG-gated UHR and SR modes. UHR and VNCa images were compared in a dynamic phantom. UHR improves stenosis quantification up to 100 bpm. VNCa reconstruction improves stenosis evaluation up to 80 bpm. Graphical Abstract
Published: 2024
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25. Implications of computed tomography reconstruction algorithms on coronary atheroma quantification: Comparison with intravascular ultrasound

Author: Anantharaman Ramasamy, Ameer Hamid A Khan, Jackie Cooper, Judit Simon, Pal Maurovich-Horvat, Retesh Bajaj, Pieter Kitslaar, Rajiv Amersey, Ajay Jain, Andrew Deaner, Johan HC. Reiber, James C. Moon, Jouke Dijkstra, Patrick W. Serruys, Anthony Mathur, Andreas Baumbach, Ryo Torii, Francesca Pugliese, and Christos V. Bourantas
Subjects: Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine
Abstract: Advances in coronary computed tomography angiography (CCTA) reconstruction algorithms are expected to enhance the accuracy of CCTA plaque quantification. We aim to evaluate different CCTA reconstruction approaches in assessing vessel characteristics in coronary atheroma using intravascular ultrasound (IVUS) as the reference standard.Matched cross-sections (n = 7241) from 50 vessels in 15 participants with chronic coronary syndrome who prospectively underwent CCTA and 3-vessel near-infrared spectroscopy-IVUS were included. Twelve CCTA datasets per patient were reconstructed using two different kernels, two slice thicknesses (0.75 mm and 0.50 mm) and three different strengths of advanced model-based iterative reconstruction (IR) algorithms. Lumen and vessel wall borders were manually annotated in every IVUS and CCTA cross-section which were co-registered using dedicated software. Image quality was sub-optimal in the reconstructions with a sharper kernel, so these were excluded. Intraclass correlation coefficient (ICC) and repeatability coefficient (RC) were used to compare the estimations of the 6 CT reconstruction approaches with those derived by IVUS.Segment-level analysis showed good agreement between CCTA and IVUS for assessing atheroma volume with approach 0.50/5 (slice thickness 0.50 mm and highest strength 5 ADMIRE IR) being the best (total atheroma volume ICC: 0.91, RC: 0.67, p 0.001 and percentage atheroma volume ICC: 0.64, RC: 14.06, p 0.001). At lesion-level, there was no difference between the CCTA reconstructions for detecting plaques (accuracy range: 0.64-0.67; p = 0.23); however, approach 0.50/5 was superior in assessing IVUS-derived lesion characteristics associated with plaque vulnerability (minimum lumen area ICC: 0.64, RC: 1.31, p 0.001 and plaque burden ICC: 0.45, RC: 32.0, p 0.001).CCTA reconstruction with thinner slice thickness, smooth kernel and highest strength advanced IR enabled more accurate quantification of the lumen and plaque at a segment-, and lesion-level analysis in coronary atheroma when validated against intravascular ultrasound.gov (NCT03556644).
Published: 2022

26. Prediction of incident cardiovascular events using machine learning and CMR radiomics

Author: Esmeralda Ruiz Pujadas, Zahra Raisi-Estabragh, Liliana Szabo, Celeste McCracken, Cristian Izquierdo Morcillo, Víctor M. Campello, Carlos Martín-Isla, Angelica M. Atehortua, Hajnalka Vago, Bela Merkely, Pal Maurovich-Horvat, Nicholas C. Harvey, Stefan Neubauer, Steffen E. Petersen, and Karim Lekadir
Subjects: Radiology, Nuclear Medicine and imaging, General Medicine
Abstract: Objectives Evaluation of the feasibility of using cardiovascular magnetic resonance (CMR) radiomics in the prediction of incident atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), and stroke using machine learning techniques. Methods We identified participants from the UK Biobank who experienced incident AF, HF, MI, or stroke during the continuous longitudinal follow-up. The CMR indices and the vascular risk factors (VRFs) as well as the CMR images were obtained for each participant. Three-segmented regions of interest (ROIs) were computed: right ventricle cavity, left ventricle (LV) cavity, and LV myocardium in end-systole and end-diastole phases. Radiomics features were extracted from the 3D volumes of the ROIs. Seven integrative models were built for each incident cardiovascular disease (CVD) as an outcome. Each model was built with VRF, CMR indices, and radiomics features and a combination of them. Support vector machine was used for classification. To assess the model performance, the accuracy, sensitivity, specificity, and AUC were reported. Results AF prediction model using the VRF+CMR+Rad model (accuracy: 0.71, AUC 0.76) obtained the best result. However, the AUC was similar to the VRF+Rad model. HF showed the most significant improvement with the inclusion of CMR metrics (VRF+CMR+Rad: 0.79, AUC 0.84). Moreover, adding only the radiomics features to the VRF reached an almost similarly good performance (VRF+Rad: accuracy 0.77, AUC 0.83). Prediction models looking into incident MI and stroke reached slightly smaller improvement. Conclusions Radiomics features may provide incremental predictive value over VRF and CMR indices in the prediction of incident CVDs. Key Points • Prediction of incident atrial fibrillation, heart failure, stroke, and myocardial infarction using machine learning techniques. • CMR radiomics, vascular risk factors, and standard CMR indices will be considered in the machine learning models. • The experiments show that radiomics features can provide incremental predictive value over VRF and CMR indices in the prediction of incident cardiovascular diseases.
Published: 2022

27. Heritability of Coronary Artery Disease: Insights From a Classical Twin Study

Author: Zsofia D. Drobni, Marton Kolossvary, Julia Karady, Adam L. Jermendy, Adam D. Tarnoki, David L. Tarnoki, Judit Simon, Balint Szilveszter, Levente Littvay, Szilard Voros, Gyorgy Jermendy, Bela Merkely, and Pal Maurovich-Horvat
Subjects: Adult, Male, Computed Tomography Angiography, Coronary Artery Disease, Middle Aged, Atherosclerosis, Coronary Angiography, Coronary Vessels, Plaque, Atherosclerotic, Risk Factors, Humans, Radiology, Nuclear Medicine and imaging, Female, Prospective Studies, Cardiology and Cardiovascular Medicine, Aged
Abstract: Background: Genetics have a strong influence on calcified atherosclerotic plaques; however, data regarding the heritability of noncalcified plaque volume are scarce. We aimed to evaluate genetic versus environmental influences on calcium (coronary artery calcification) score, noncalcified and calcified plaque volumes by coronary computed tomography angiography in adult twin pairs without known coronary artery disease. Methods: In the prospective BUDAPEST-GLOBAL (Burden of Atherosclerotic Plaques Study in Twins—Genetic Loci and the Burden of Atherosclerotic Lesions) classical twin study, we analyzed twin pairs without known coronary artery disease. All twins underwent coronary computed tomography angiography to assess coronary atherosclerotic plaque volumes. Structural equation models were used to quantify the contribution of additive genetic, common environmental, and unique environmental components to plaque volumes adjusted for age, gender, or atherosclerotic cardiovascular disease risk estimate and statin use. Results: We included 196 twins (mean age±SD, 56±9 years, 63.3% females), 120 monozygotic and 76 same-gender dizygotic pairs. Using structural equation models, noncalcified plaque volume was predominantly determined by environmental factors (common environment, 63% [95% CI, 56%–67%], unique environment, 37% [95% CI, 33%–44%]), while coronary artery calcification score and calcified plaque volumes had a relatively strong genetic heritability (additive genetic, 58% [95% CI, 50%–66%]; unique environmental, 42% [95% CI, 34%–50%] and additive genetic, 78% [95% CI, 73%–80%]; unique environmental, 22% [95% CI, 20%–27%]), respectively. Conclusions: Noncalcified plaque volume is mainly influenced by shared environmental factors, whereas coronary artery calcification score and calcified plaque volume are more determined by genetics. These findings emphasize the importance of early lifestyle interventions in preventing coronary plaque formation. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT01738828.
Published: 2022

28. Quality and safety of coronary computed tomography angiography at academic and non-academic sites: insights from a large European registry (ESCR MR/CT Registry)

Author: Borek Foldyna, Johannes Uhlig, Robin Gohmann, Christian Lücke, Thomas Mayrhofer, Lukas Lehmkuhl, Luigi Natale, Rozemarijn Vliegenthart, Joachim Lotz, Rodrigo Salgado, Marco Francone, Christian Loewe, Konstantin Nikolaou, Fabian Bamberg, David Maintz, Pal Maurovich-Horvat, Holger Thiele, Udo Hoffmann, Matthias Gutberlet, Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), and Cardiovascular Centre (CVC)
Subjects: Male, Computer. Automation, Multislice computed tomography, Computed Tomography Angiography, General Medicine, Coronary Artery Disease, Middle Aged, CT ANGIOGRAPHY, Coronary Angiography, X-Ray Computed, Chest pain, MANAGEMENT, Chronic stable angina, ARTERY-DISEASE, HEART, Humans, Radiology, Nuclear Medicine and imaging, Female, Registries, Human medicine, Tomography, X-Ray Computed, Tomography, Aged, Settore MED/36 - DIAGNOSTICA PER IMMAGINI E RADIOTERAPIA
Abstract: To compare the use of coronary computed tomography angiography (CCTA) between academic and non-academic sites across Europe over the last decade.We analyzed a large multicenter registry (ESCR MR/CT Registry) of stable symptomatic patients who received CCTA 01/2010-01/2020 at 47 (22%) academic and 165 (78%) non-academic sites across 19 European countries. We compared image quality, radiation dose, contrast-media-related adverse events, patient characteristics, CCTA findings, and downstream testing between academic and non-academic sites.Among 64,317 included patients (41% female; 60 ± 13 years), academic sites accounted for most cases in 2010-2014 (52%), while non-academic sites dominated in 2015-2020 (71%). Despite less contemporary technology, non-academic sites maintained low radiation doses (4.76 [2.46-6.85] mSv) with a 30% decline of high-dose scans (7 mSv) over time. Academic and non-academic sites both reported diagnostic image quality in 98% of cases and low rate of scan-related adverse events (0.4%). Academic and non-academic sites examined similar patient populations (41% females both; age: 61 ± 14 vs. 60 ± 12 years; pretest probability for obstructive CAD: low 21% vs. 23%, intermediate 73% vs. 72%, high 6% both, CAD prevalence on CCTA: 40% vs. 41%). Nevertheless, non-academic sites referred more patients to non-invasive ischemia testing (6.5% vs. 4.2%) and invasive coronary angiography/surgery (8.5% vs. 5.6%).Non-academic and academic sites provide safe, high-quality CCTA across Europe, essential to successfully implement the recently updated guidelines for the diagnosis and management of chronic coronary syndromes. However, despite examining similar populations with comparable CAD prevalence, non-academic sites tend to refer more patients to downstream testing.• Smaller non-academic providers increasingly use CCTA to rule out obstructive coronary artery disease. • Non-academic and academic sites provide comparably safe, high-quality CCTA across Europe. • Compared to academic sites, non-academic sites tend to refer more patients to downstream testing.
Published: 2022

29. Abstract 10181: The Effect of Immune Checkpoint Inhibitors for Cancer on Blood Pressure

Author: Zsofia D Drobni, Thomas Mayrhofer, Amna Zafar, Vineet Raghu, Hannah K Gilman, Sarah Hartmann, Thiago Quinaglia, Julia Karady, Carlos Gongora, Leyre Zubiri, Pal Maurovich-Horvat, Kerry Reynolds, and Tomas G Neilan
Subjects: Physiology (medical), Cardiology and Cardiovascular Medicine
Abstract: Introduction: Immune checkpoint inhibitors (ICIs) treat an expanding range of cancers and the use of ICIs has been associated with an increase in atherosclerotic cardiovascular disease (ASCVD) events. The mechanisms involved in the increase in ASCVD with ICIs are incompletely understood. These same immune checkpoints targeted for cancer also regulate vascular function, yet there are no data testing the effect of ICIs on blood pressure. Hypothesis: Based on basic data on the role of these immune checkpoints in vascular function, we hypothesize that the use of ICIs would increase systolic and diastolic blood pressure. Methods: This was a single academic medical center study of 8,724 patients treated with an ICI. The primary analysis evaluated whether exposure to ICIs was associated with changes in blood pressure using repeated measures multivariate mixed linear regression models. The secondary analysis evaluated the effect of changes in blood pressure on all cause mortality using Cox proportional hazard models. Results: Of the 8,724 patients, 4,812 (55.2%) had a diagnosis of hypertension at ICI start. The average blood pressure at ICI start was 128.3±18.1/72.5±10.1mmHg. Among the entire cohort, there was a decrease of 2.9 mmHg in systolic blood pressure (95% CI: 2.70-3.02) after starting an ICI, and a drop of 1.6 mmHg (95% CI: 1.52-1.70) in diastolic blood pressure (adjusted, p Conclusions: Among a large cohort of patients, ICI therapy is associated with a drop in systolic and diastolic blood pressure. However, patients who had an increase of at least ≥20 mmHg in systolic blood pressure had lower risk of all-cause death.
Published: 2021

30. Health status after invasive or conservative care in coronary and advanced kidney disease

Author: Spertus J. A., Jones P. G., Maron D. J., Mark D. B., O'Brien S. M., Fleg J. L., Reynolds H. R., Stone G. W., Sidhu M. S., Chaitman B. R., Chertow G. M., Hochman J. S., Bangalore S, ISCHEMIA-CKD Research Group: Abdallah M Abdallah, Abel E Moreyra, Abhay A Laddu, Abhishek Dubey, Abhishek Goyal, Abigail Knighton, Adedayo Adeboye, Agne Juceviciene, Agne Urboniene, Agnieszka Szramowska, Ahmed Abdel-Latif, Ahmed Ayoub, Ahmed Elghamaz, Ahmed Kamal, Ahmed Talaat, Ajay Sharma, Ajit Singh Narula, Akshay Bagai, Akvile Smigelskaite, Alain Raymond, Alain Rheault, Alaine Melanie Loehr, Albert Varga, Aldo P Maggioni, Alec Moorman, Alejandro Chevaile Ramos, Alejandro Gisbert, Aleksandra Fratczak, Aleksandras Laucevicius, Alexander M Chernyavskiy, Alexander Sergeevich Borisov, Alexandra Craft, Alexandra Hunter, Alexandre Ciappina Hueb, Alexandre Schaan de Quadros, Alice Manica Muller, Aline Peixoto Deiro, Allegra Stone, Almudena Castro, Amar Uxa, Amaryllis Van Craenenbroeck, Ambuj Roy, Amit Kakkar, Amy Flowers, Amy Iskandrian, Ana D Djordjevic-Dikic, Ana Gomes Almeida, Ana Rita Francisco, Ana S Mladenovic, Ana Santana, Anandaroop Lahiri, Anastasia M Kuzmina-Krutetskaya, Anastasia Vamvakidou, Andras Vertes, Andre Gabriel, Andrea Bartykowszki, Andrea Lorimer, Andrea Pascual, Andreia Coelho, Andreia Rocha, Andrés García-Rincón, Andrew Starovoytov, Andrzej Łabyk, Anelise Kawakami, Angela Hoye, Angelo Nobre, Anjali Acharya, Anjali Anand, Anjana Rishmawi, Ann Banfield, Ann Luyten, Anna Cichocka-Radwan, Anna Fojt, Anna Plachcinska, Anna Teresinska, Anne Marie Webb, Anne Heath, Anoop Mathew, Antonia Vega, Antonio Carvalho, Antonio Colombo, Antonio Fiarresga, Anu Tharini, Anupama Rao, Aquiles Valdespino-Estrada, Ariel Diaz, Arif Asif, Arnold H Seto, Arturo S Campos-Santaolalla, Asim N Cheema, Asker Ahmed, Atul Mathur, Audrey W Leong, Axel Åkerblom, Axelle Fuentes, Aynun Naher, Badhma Valaiyapathi, Balaji Srinivasan, Baljeet Kaur, Balram Bhargava, Bandula Guruge, Barbara Wicklund, Bartosz Czarniak, Bebek Singh, Begoña Igual, Bela Merkely, Benoy N Shah, Bernard de Bruyne, Beth Abramson, Beth Stefanchik, Bethany Harvey, Bharati Shivalkar, Bilal Malik, Binoy Mannekkattukudy Kurian, Bougrida Hammouche, Branko D Beleslin, Bruce Ferguson, Bruce McManus, Bruna Maria Ascoli, Bryn Smith, Byron J Allen, C Michael Gibson, C Noel Bairey Merz, Calin Pop, Carl-Éric Gagné, Carly Ohmart, Carol M Kartje, Caroline Alsweiler, Caroline Rodgers, Caroline Spindler, Carolyn J Gruber, Catherine Albert, Catherine Bone, Catherine Lemay, Cezary Kepka, Chandini Suvarna, Chantale Mercure, Charlene Wiyarand, Chetan Patel, Chiara Attanasio, Chi-Ming Chow, Ching Min Er, Ching-Ching Ong, Cholenahally Nanjappa Manjunath, Chris Buller, Christel Vassaliere, Christiaan Vrints, Christian Witzke, Christie Ballantyne, Christina Björklund, Christine Roraff, Christophe Laure, Christophe Thuaire, Christopher Chan, Christopher Fordyce, Christopher Kinsey, Chunli Xia, Cidney Schultz, Claes Held, Claudia Cortés, Claudia Escobar, Cláudia Freixo, Clemens T Kadalie, Corine Thobois, Courtney Page, Cristina Bare, Dalisa Espinosa, Dan Gao, Dana Rizk, Daniela Puzhevsky, Data Analyst, David M Charytan, David O Williams, David Booth, David Charytan, David Cohen, David DeMets, David Foo, David Goldfarb, David Schlichting, David Sisson, David Taggart, David Waters, David Wheeler, David Williams, Davis Vo, Dawid Teodorczyk, Dawn D Shelstad, Dean Kereiakes, Deborah Yip, Deepa Ramaswamy, Deirdre Mattina, Deirdre Murphy, Dengke Jiang, Derek Cyr, Diana Cukali, Diane Camara, Dimitrios Stournaras, Dipti Patel, Dongze Li, Donna Exley, Doreen Reimann, Doron Schwartz, Duarte Cacela, Dwayne S G Conway, Eapen Punnoose, Edgar L Tay, Edgar Karanjah, Eduardo Gomes Lima, Eduardo Hernandez-Rangel, Edward D Nicol, Edyta Kaczmarska, Elena Refoyo Salicio, Eli Feen, Elihú Durán-Cortés, Elisabeth M Janzen, Elise van Dongen, Elissa Restelli Piloto, Elizabeta Srbinovska Kostovska, Elizabeth Capasso-Gulve, Elizaveta V Zbyshevskaya, Ellie Fridell, Ellis W Lader, Elvira Gosmanova, Emilie Tachot, Emma Howard, Emmanuel Sorbets, Encarnación Alonso-Álvarez, Eric Daugas, Erick Alexánderson Rosas, Estelle Montpetit, Eugene Passamani, Evgeny Shutov, Ewa Szczerba, Ewelina Wojtala, Expedito Eustáquio Ribeiro Silva, Fabio Fimiani, Fadi Hage, Fahim Haider Jafary, Fang Feng, Fatima Ranjbaran, Fausto J Pinto, Fernando Caeiro, Fernando Nolasco, Filipa Silva, Filippo Ottani, Firas Al Solaiman, Flávia Egydio, Florina Chereches, Francesca De Micco, Francesca Bianchini, Francesca Pietrucci, Francesco Orso, Francesco Pisano, Francisca Patuleia Figueiras, François Madore, Frank Harrell, Frank Rockhold, Frans Van de Werf, Franziska Guenther, Fred Mohr, G Karthikeyan, Gabriel Galeote, Gabriel Grossmann, Gabriel Steg, Gabriela Guzman, Gabriele Gabrielli, Gang Chen, Gautam Sharma, Gaylin Petty, Gelmina Mikolaitiene, Gennie Yee, Gerard Patrick Devlin, Gerard Esposito, Gergely Ágoston, Gervasio Lamas, Gia Cobb, Gian Piero Perna, Gianpiero Leone, Girish Mishra, Gonzalo Barge-Caballero, Grace M Young, Graciela Scaro, Graham Wong, Gregg Pressman, Gregor Simonis, Gudrun Steinmaurer, Guilherme Portugal, Guilhermina Cantinho Lopes, Guillermo Garcia-Garcia, Guoqin Wang, Gurpreet S Wander, Gurpreet Gulati, Haibo Zhang, Halina Marciniak, Hao Dai, Haojian Dong, Harold Franch, Harvey White, Hatem Elabd, Hayley Pomeroy, Heather Golden, Heidi Wilson, Helene Abergel, Hemalata Siddaram, Hemant Shakhar Mahapatra, Henry C Stokes, Hermine Osseni, Herwig Schuchlenz, Hicham Skali, Holly Mattix-Kramer, Hong Cheng, Hossam Mahrous, Hristo Pejkov, Hugo Marques, Hui Zhong, Hussien El Fishawy, Ian Webb, Iftikhar Kullo, Igor O Grazhdankin, Ikraam Hassan, Ileana L Pina, Ilona Tamasauskiene, Inês Zimbarra Cabrita, Ines Rodrigues, Inga Soveri, Irena Peovska Mitevska, Irene Marthe Lang, Irina Subbotina, Irma Kalibataite-Rutkauskiene, Isabelle Roy, Ishita Tejani, Ivan A Naryshkin, Ivana Jankovic, Iwona Niedzwiecka, Jacek Kusmierek, Jackie Chow, Jaekyeong Heo, Jakub Maksym, James E Davies, James J Jang, James Hirsch, James Tatoulis, Jan Henzel, Janaina Oliveira, Janani Rangaswami, Jane Eckstein, Janitha Raj, Jaqueline Pozzibon, Jaroslaw Drozdz, Jason Loh Kwok Kong, Jason T Call, Jason Linefsky, Javier J Garcia, Jay Meisner, Jayne Scales, Jean Michel Juliard, Jean Diodati, Jean-Michel Juliard, Jeanne Russo, Jeannette J M Schoep, Jeff Leimberger, Jeffrey C Milliken, Jeffrey Anderson, Jeffrey Kanters, Jeffrey Lorin, Jeffrey Moses, Jelena J Stepanovic, Jelena Celutkiene, Jelena Stojkovic, Jenne M Jose, Jennifer L Stanford, Jennifer Hogan, Jennifer Horst, Jennifer Isaacs, Jennifer Thomson, Jennifer Tomfohr, Jennifer White, Jerry Yee, Jessica Berg, Jesus Peteiro, Jesús Peteiro, Jia Li, Jiamin Liu, Jianxin Zhang, Jill Marcus, Jim Blankenship, Jing Dong, Jiyan Chen, Jo Evans, Joaquín V Peñafiel, Joe Sabik, Johann Christopher, John B Kostis, John Joseph Graham, John Doan, John Jose, John Kotter, John Lehman, John Middleton, John Pownall, Jonathan M Gleadle, Jonathan S Chavez-Iñiguez, Jonathan Byrne, Jonathan Himmelfarb, Jonathan Lebowitz, Jonean Thorsen, Jorge Carrillo Calvillo, Jorge Escobedo, José A Ortega-Ramírez, José J Cuenca-Castillo, Jose L Diez, José Luis Narro Villanueva, José Luiz da Costa Vieira, José M Flores-Palacios, Jose Fragata, Jose Lopes, Jose Lopez-Sendon, José Lopez-Sendon, Jose Rueda, Joseph B Selvanayagam, Joseph Sacco, Joshua P Loh, Joy Burkhardt, Juan Manuel López Quijano, Juan Gaztanaga, Judit Sebo, Judith Wright, Juergen Stumpf, Julia de Aveiro Morata, Julio César Figal, Julio Hernandez Jaras, Junqing Yang, Jyotsna Garg, K Manjula Rani, K Preethi, Kaatje Goetschalckx, Karen Calfas, Karen Petrosyan, Karen Servilla, Karen Swan, Karin Ploetze, Karolina Kryczka, Karolina Wojtczak-Soska, Karolina Wojtera, Karthik Ramasamy, Katarzyna Łuczak, Katarzyna Malinowska, Katharina Knaut, Katherine Martin, Kathleen Claes, Kathryn Mason, Ken Mahaffey, Kenneth Gin, Kerry Lee, Kerstin Bonin, Kerstin Mikes, Kevin R Bainey, Kevin T Harley, Kevin Marzo, Kevin McMahon, Khaled Abdul-Nour, Khaled Alfakih, Khaled Dajani, Khrystyna Kushniriuk, Kian-Keong Poh, Kim Holland, Kimberly E Halverson, Kinnari Murphy, Kiran Reddy, Kirsten J Quiles, Kirsty Abercrombie, Klaus Matschke, Konrad Szymczyk, Koo Hui Chan, Kreton Mavromatis, Krishnakumar Hongalgi, Kristian Thygesen, Kristin M Salmi, Kristin Newby, Kristine Arges, Kristine Teoh, Krzysztof Drzymalski, Lalathaksha Kumbar, Laszlone Matics, LaTonya J Hickson, Laura Keinaite, Laura Sarti, Laura True, Lawrence M Phillips, Lawrence Friedman, Leandro C Maranan, Leda Lotaif, Lekshmi Dharmarajan, Leo A Bockeria, Leonardo Pizzol Caetano, Leonardo Bridi, Leonid L Bershtein, Li Hai Yan, Li Li, Lidia Sousa, Lihong Xu, Lihua Zhang, Lili Zhang, Lilian Mazza Barbosa, Liljana Tozija, Linda Arcand, Lino Patricio, Liping Zhang, Lisa Hatch, Lixin Jiang, Liz Low, Loay Salman, Lorena Lopez, Lori Pritchard, Luis Bernanrdes, Luis Guzman, Lynette L Teo, M Sowjanya Reddy, Maarten Simoons, Maayan Konigstein, Mafalda Selas, Magdalena Madero, Magdalena Miller, Magdalena Misztal-Teodorczyk, Magdy Abdelhamid, Magid Fahim, Mahevamma Mylarappa, Majo X Joseph, Malgorzata Frach, Manjula Rani, Marcello Galvani, Marcin Demkow, Marcin Szkopiak, Marco De Fabritis, Marco Magnoni, Marco Marini, Marco Sicuro, Marek Roik, Maria A Alfonso, Maria Antonieta Pereira de Moraes, María Dolores Martínez-Ruíz, Maria Eugenia Canziani, Maria Eugenia Martin, Maria Inês Caetano, Maria P Corral, Maria Pérez García, Maria Andreasson, Maria Posada, Marianna D A Dracoulakis, Mariano Rubio, Marija T Petrovic, Marina Vieira, Mario J Garcia, Mario D'arezzo, Maris Orgera, Marius Miglinas, Mark Garand, Mark Peterson, Mark Xavier, Marlowe Mosley, Marta Capinha, Marta Swiderek, Martha Meyer, Martina Ceseri, Martinia Tricoli, Mary Wiilliams, Mary Ann Champagne, Mary Streif, Massoud Leesar, Matei Claudia, Mateusz Solecki, Matías Nicolás Mungo, Matthew Shinseki, Matthew Weir, Maura Carina Nédio, Max-Paul Winter, Mayil S Krishnam, Meenakshi Mishra, Mei Hwang, Melemadathil Srilatha, Melissa LeFevre, Mengistu Simegn, Michael A Gibson, Michael B Rubens, Michael D Shapiro, Michael Chobanian, Michael Davidson, Michael Farkouh, Michael Mack, Michal Wlodarczyk, Michel G Khouri, Michelle Crowder, Michelle Ratliff, Miguel Borges Santos, Miguel Nobre Menezes, Miguel Perez Fontan, Miguel Barrero, Mihaly Tapolyai, Mikhail T Torosoff, Milan R Dobric, Milind Avdhoot Gadkari, Min Tun Kyaw, Miri Revivo, Mitchel B Lustre, Mohamed Adel, Mohamed Hassan, Mohammad El-Hajjar, Mohammed Hussain, Mohammed Saleem, Moisés Blanco-Calvo, Moisés Jiménez-Santos, Monika Laukyte, Muhamed Saric, Myrthes Emy Takiuti, Nadia Asif, Nagaraja Moorthy, Naima L Ogletree, Nana O Katamadze, Nandita Nataraj, Naomi Uchida, Nasrul Ismail, Natalia S Oliveira, Natalia de Carvalho Maffei, Nathalie Brosens, Naved Aslam, Naveed Akhtar, Neamat Mowafy, Neeraj Pandit, Neeraj Parakh, Neesh Pannu, Neill Duncan, Nevena Garcevic, Ngaire Meadows, Nicholas Danchin, Nicole Deming, Nikola N Boskovic, Nikolaos Karogiannis, Ning Zhang, Nirmal Kumar, Niruta Sharma, Nitika Chadha, Nitish Naik, Noelle M Durfee, Nora M Cosgrove, Norbert Urbanski, Norma Hogg, Olga Walesiak, Olga Zdończyk, Olga Zhdanova, Olivia Anaya, Olugbenga Bello, Omar Almousalli, Omar Thompson, Orit Kliuk, Oscar Méndiz, Óscar Prada-Delgado, Oz Shapira, Pablo Raffaele, Page Salanger, Pal Maurovich-Horvat, Pallav Garg, Paloma Moraga, Pam Singh, Pamela Ouyang, Pamela Woodard, Paola Emanuela Poggio Smanio, Paola Smanio, Paolo Calabro, Patricia K Nguyen, Patricia Alarie, Patricia Carrilho, Patricia Endsley, Patricia Pellikka, Patrycja Lebioda, Paul Der Mesropian, Paul Hauptman, Paula García-González, Paula Wilson, Paulo Cury Rezende, Paulo Novis Rocha, Pedro Canas Silva, Pedro Farto E Abreu, Pedro Píccaro de Oliveira, Pedro Carvalho, Pedro Modas, Pedro Rio, Peiyu He, Peter A McCullough, Peter H Stone, Peter Douglass, Peter Sizeland, Peter Voros, Philippe Gabriel Steg, Philippe Genereux, Philippe Généreux, Philippe Menasche, Philippe Rheault, Piero Tassinario, Pierre Gervais, Pilar Calvillo, Ping Chai, Piotr Jakubowski, Piotr Pruszczyk, Poay-Huan Loh, Pouneh Samadi, Prakash Deedwania, Pranav M Patel, Praneeth Polamuri, Pratiksha Sharma, Preeti Kamath, Prince Thomas, Priyadarshani Arambam, Puneet Sodhi, Pushpa Naik, Qi Zhong, Qian Zhao, Qianqian Yuan, Qiulan Xie, Rachel Murphy, Radmila Lyubarova, Radmilar Lyubarova, Raewyn Fisher, Rafael Diaz, Rafael Maldonado, Rafael Selgas, Raffaele Bugiardini, Rafia Chaudhry, Raisa Kavalakkat, Rajalekshmi Vs, Rajesh Gopalan Nair, Rajiv Narang, Rakesh Yadav, Ramiro Carvalho, Ramon de Jesús-Pérez, Ran Leng, Ranjan Kachru, Raquel Sanchez, Raven R Dwyer, Raven Lee, Ray Wyman, Raymond C Wong, Reinette Hampson, Renato Abdala Karam Kalil, Renato D Lopes, Renato George Eick, Renato Lopes, Reshma Ravindran, Reto Andreas Gamma, Ricardo Costa, Richa Bhatt, Richard H J Trimlett, Risha Patel, Rita Coram, Robert K Riezebos, Robert M Donnino, Robert Guyton, Robert Harrington, Robert Malecki, Roberto René Favaloro, Robyn Elliott, Rodolfo G S D Lima, Rohit Tandon, Rolf Doerr, Roma Tewari, Ron Wald, Rongrong Hu, Rory Collins, Roxana Mehran, Roxy Senior, Rubén Baleón-Espinosa, Ruben Ramos, Rui Ferreira, Ruth Kirby, Ruth Pérez-Fernández, S Ramakrishnan, S K Dwivedi, Sadath Lubna, Sadiq Ahmed, Sajeev Chakanalil Govindan, Salamah Alfalahi, Salvador Cruz-Flores, Salvatore P Costa, Sampoornima Setty, Samuel Nwosu, Sandeep Mahajan, Sandeep Seth, Sandeep Singh, Sander R Niehe, Sandy Carr, Sanja Simic Ogrizovic, Sanja Ogrizovic, Sanjeev Gulati, Sanjeev Sharma, Sara Fernandez, Sarah Williams, Sarju Ralhan, Sasko Kedev, Satinder Singh, Satish Sankaranarayanan, Satvic Cholenahally Manjunath, Sau Lee, Schawana Thaxton, Sean M O'Brien, Sebastian Sobczak, Seema Nour, Sergey A Sayganov, Sérgio Bravo Baptista, Sergio Draibe, Seth Sokol, Sharad Chandra, Shari Mackedanz, Shaun Goodman, Shayan Shirazian, Sheetal Rupesh Karwa, Sheri Ussery, Sheromani Bajaj, Shirin Heydari, Shiv Kumar Choudhary, Shivali Patel, Shruti Pandey, Shuyang Zhang, Siddharth Gadage, Sik-Yin V Tan, Sílvia Zottis Poletti, Silvia Valbuena, Simone Savaris, Solomon Yakubov, Songlin Zhu, Sonika Gupta, Sorin Brener, Sothinathan Gurunathan, Soundarya Nayak, Sowjanya Reddy, Stanley E Cobos, Stefan Weikl, Stephanie M Lane, Stephanie Ferket, Stephanie Mavromichalis, Stephen Fremes, Steven A Fein, Steven P Sedlis, Steven Giovannone, Steven Weitz, Subhash Banerjee, Sudhanva S Hegde, Suellen Hosino, Sulagna Mookherjee, Suman Singh, Sumith Abeygunasekara, Sundeep Mishra, Sunil Kumar Verma, Suresh Kumar, Suryaprakash Narayanappa, Susan K Milbrandt, Susana Silva, Susanna Stevens, Suvarna Kolhe, Suzana Tavares, Suzanne Welsh, T A Kishore, Tamara Colaiácovo Soares, Tapan Umesh Pillay, Tarek Rashid, Tarun K Mittal, Tauane Bello Duarte, Téodora Dutoiu, Teresa Delgadillo, Terrance Chua, Terrance Welch, Theodoros Kofidis, Thierry Lefevre, Tiago Silva, Timea Boros, Titus Lau, Tiziana Formisano, Tomasz Ciurus, Tomasz Tarchalski, Tracy Tan, Umesh Lingaraj, V K Bahl, V S Narain, Valentina Pellu, Valentine Lobo, Valerie Robesyn, Vandana Yadav, Veerabhadra Gupta, Verghese Mathew, Vicente Miro, Victoria Gumerova, Victoria Hernandez, Vijay Kher, Vijay Kumar, Vikas Makkar, Vikranth Reddy, Viktoria Bulkley, Vinoi George David, Virendra Misra, Virginia Fernández-Figares, Vladimir Ryasniansky, Vojislav L Giga, Wael A Almahmeed, Wan Xian Chan, Wanda C Marfori, Wanda Parker, Wayne Pennachi, Wei Ling Lau, Weibing Xing, Weijing Bian, Wendy L Stewart, Wendy Drewes, Whady Hueb, William Weintraub, Winnie C Sia, Xacobe Flores-Ríos, Xiang Ma, Xiangqiong Gu, Xiaomei Li, Xiaoyi Xu, Xin Fu, Xuemei Li, Xutong Wang, Yanek Pépin-Dubois, Yaron Arbel, Yechen Han, Yiming Lit, Ying Tung Sia, Ying Wang, Yining Yang, Yitong Ma, Yolayfi Peralta, Yves Smets, Yvonne Taul, Zalina Kudzoeva, Zeljko Z Markovic, Zhangsuo Liu, Zhenyu Liu, Zhiming Ye, Zixiang Yu, Zoltan Davidovits, Zvezdana Petronijevic, Spertus J.A., Jones P.G., Maron D.J., Mark D.B., O'Brien S.M., Fleg J.L., Reynolds H.R., Stone G.W., Sidhu M.S., Chaitman B.R., Chertow G.M., Hochman J.S., Bangalore S, and ISCHEMIA-CKD Research Group: Abdallah M Abdallah, Abel E Moreyra, Abhay A Laddu, Abhishek Dubey, Abhishek Goyal, Abigail Knighton, Adedayo Adeboye, Agne Juceviciene, Agne Urboniene, Agnieszka Szramowska, Ahmed Abdel-Latif, Ahmed Ayoub, Ahmed Elghamaz, Ahmed Kamal, Ahmed Talaat, Ajay Sharma, Ajit Singh Narula, Akshay Bagai, Akvile Smigelskaite, Alain Raymond, Alain Rheault, Alaine Melanie Loehr, Albert Varga, Aldo P Maggioni, Alec Moorman, Alejandro Chevaile Ramos, Alejandro Gisbert, Aleksandra Fratczak, Aleksandras Laucevicius, Alexander M Chernyavskiy, Alexander Sergeevich Borisov, Alexandra Craft, Alexandra Hunter, Alexandre Ciappina Hueb, Alexandre Schaan de Quadros, Alice Manica Muller, Aline Peixoto Deiro, Allegra Stone, Almudena Castro, Amar Uxa, Amaryllis Van Craenenbroeck, Ambuj Roy, Amit Kakkar, Amy Flowers, Amy Iskandrian, Ana D Djordjevic-Dikic, Ana Gomes Almeida, Ana Rita Francisco, Ana S Mladenovic, Ana Santana, Anandaroop Lahiri, Anastasia M Kuzmina-Krutetskaya, Anastasia Vamvakidou, Andras Vertes, Andre Gabriel, Andrea Bartykowszki, Andrea Lorimer, Andrea Pascual, Andreia Coelho, Andreia Rocha, Andrés García-Rincón, Andrew Starovoytov, Andrzej Łabyk, Anelise Kawakami, Angela Hoye, Angelo Nobre, Anjali Acharya, Anjali Anand, Anjana Rishmawi, Ann Banfield, Ann Luyten, Anna Cichocka-Radwan, Anna Fojt, Anna Plachcinska, Anna Teresinska, Anne Marie Webb, Anne Heath, Anoop Mathew, Antonia Vega, Antonio Carvalho, Antonio Colombo, Antonio Fiarresga, Anu Tharini, Anupama Rao, Aquiles Valdespino-Estrada, Ariel Diaz, Arif Asif, Arnold H Seto, Arturo S Campos-Santaolalla, Asim N Cheema, Asker Ahmed, Atul Mathur, Audrey W Leong, Axel Åkerblom, Axelle Fuentes, Aynun Naher, Badhma Valaiyapathi, Balaji Srinivasan, Baljeet Kaur, Balram Bhargava, Bandula Guruge, Barbara Wicklund, Bartosz Czarniak, Bebek Singh, Begoña Igual, Bela Merkely, Benoy N Shah, Bernard de Bruyne, Beth Abramson, Beth Stefanchik, Bethany Harvey, Bharati Shivalkar, Bilal Malik, Binoy Mannekkattukudy Kurian, Bougrida Hammouche, Branko D Beleslin, Bruce Ferguson, Bruce McManus, Bruna Maria Ascoli, Bryn Smith, Byron J Allen, C Michael Gibson, C Noel Bairey Merz, Calin Pop, Carl-Éric Gagné, Carly Ohmart, Carol M Kartje, Caroline Alsweiler, Caroline Rodgers, Caroline Spindler, Carolyn J Gruber, Catherine Albert, Catherine Bone, Catherine Lemay, Cezary Kepka, Chandini Suvarna, Chantale Mercure, Charlene Wiyarand, Chetan Patel, Chiara Attanasio, Chi-Ming Chow, Ching Min Er, Ching-Ching Ong, Cholenahally Nanjappa Manjunath, Chris Buller, Christel Vassaliere, Christiaan Vrints, Christian Witzke, Christie Ballantyne, Christina Björklund, Christine Roraff, Christophe Laure, Christophe Thuaire, Christopher Chan, Christopher Fordyce, Christopher Kinsey, Chunli Xia, Cidney Schultz, Claes Held, Claudia Cortés, Claudia Escobar, Cláudia Freixo, Clemens T Kadalie, Corine Thobois, Courtney Page, Cristina Bare, Dalisa Espinosa, Dan Gao, Dana Rizk, Daniela Puzhevsky, Data Analyst, David M Charytan, David O Williams, David Booth, David Charytan, David Cohen, David DeMets, David Foo, David Goldfarb, David Schlichting, David Sisson, David Taggart, David Waters, David Wheeler, David Williams, Davis Vo, Dawid Teodorczyk, Dawn D Shelstad, Dean Kereiakes, Deborah Yip, Deepa Ramaswamy, Deirdre Mattina, Deirdre Murphy, Dengke Jiang, Derek Cyr, Diana Cukali, Diane Camara, Dimitrios Stournaras, Dipti Patel, Dongze Li, Donna Exley, Doreen Reimann, Doron Schwartz, Duarte Cacela, Dwayne S G Conway, Eapen Punnoose, Edgar L Tay, Edgar Karanjah, Eduardo Gomes Lima, Eduardo Hernandez-Rangel, Edward D Nicol, Edyta Kaczmarska, Elena Refoyo Salicio, Eli Feen, Elihú Durán-Cortés, Elisabeth M Janzen, Elise van Dongen, Elissa Restelli Piloto, Elizabeta Srbinovska Kostovska, Elizabeth Capasso-Gulve, Elizaveta V Zbyshevskaya, Ellie Fridell, Ellis W Lader, Elvira Gosmanova, Emilie Tachot, Emma Howard, Emmanuel Sorbets, Encarnación Alonso-Álvarez, Eric Daugas, Erick Alexánderson Rosas, Estelle Montpetit, Eugene Passamani, Evgeny Shutov, Ewa Szczerba, Ewelina Wojtala, Expedito Eustáquio Ribeiro Silva, Fabio Fimiani, Fadi Hage, Fahim Haider Jafary, Fang Feng, Fatima Ranjbaran, Fausto J Pinto, Fernando Caeiro, Fernando Nolasco, Filipa Silva, Filippo Ottani, Firas Al Solaiman, Flávia Egydio, Florina Chereches, Francesca De Micco, Francesca Bianchini, Francesca Pietrucci, Francesco Orso, Francesco Pisano, Francisca Patuleia Figueiras, François Madore, Frank Harrell, Frank Rockhold, Frans Van de Werf, Franziska Guenther, Fred Mohr, G Karthikeyan, Gabriel Galeote, Gabriel Grossmann, Gabriel Steg, Gabriela Guzman, Gabriele Gabrielli, Gang Chen, Gautam Sharma, Gaylin Petty, Gelmina Mikolaitiene, Gennie Yee, Gerard Patrick Devlin, Gerard Esposito, Gergely Ágoston, Gervasio Lamas, Gia Cobb, Gian Piero Perna, Gianpiero Leone, Girish Mishra, Gonzalo Barge-Caballero, Grace M Young, Graciela Scaro, Graham Wong, Gregg Pressman, Gregor Simonis, Gudrun Steinmaurer, Guilherme Portugal, Guilhermina Cantinho Lopes, Guillermo Garcia-Garcia, Guoqin Wang, Gurpreet S Wander, Gurpreet Gulati, Haibo Zhang, Halina Marciniak, Hao Dai, Haojian Dong, Harold Franch, Harvey White, Hatem Elabd, Hayley Pomeroy, Heather Golden, Heidi Wilson, Helene Abergel, Hemalata Siddaram, Hemant Shakhar Mahapatra, Henry C Stokes, Hermine Osseni, Herwig Schuchlenz, Hicham Skali, Holly Mattix-Kramer, Hong Cheng, Hossam Mahrous, Hristo Pejkov, Hugo Marques, Hui Zhong, Hussien El Fishawy, Ian Webb, Iftikhar Kullo, Igor O Grazhdankin, Ikraam Hassan, Ileana L Pina, Ilona Tamasauskiene, Inês Zimbarra Cabrita, Ines Rodrigues, Inga Soveri, Irena Peovska Mitevska, Irene Marthe Lang, Irina Subbotina, Irma Kalibataite-Rutkauskiene, Isabelle Roy, Ishita Tejani, Ivan A Naryshkin, Ivana Jankovic, Iwona Niedzwiecka, Jacek Kusmierek, Jackie Chow, Jaekyeong Heo, Jakub Maksym, James E Davies, James J Jang, James Hirsch, James Tatoulis, Jan Henzel, Janaina Oliveira, Janani Rangaswami, Jane Eckstein, Janitha Raj, Jaqueline Pozzibon, Jaroslaw Drozdz, Jason Loh Kwok Kong, Jason T Call, Jason Linefsky, Javier J Garcia, Jay Meisner, Jayne Scales, Jean Michel Juliard, Jean Diodati, Jean-Michel Juliard, Jeanne Russo, Jeannette J M Schoep, Jeff Leimberger, Jeffrey C Milliken, Jeffrey Anderson, Jeffrey Kanters, Jeffrey Lorin, Jeffrey Moses, Jelena J Stepanovic, Jelena Celutkiene, Jelena Stojkovic, Jenne M Jose, Jennifer L Stanford, Jennifer Hogan, Jennifer Horst, Jennifer Isaacs, Jennifer Thomson, Jennifer Tomfohr, Jennifer White, Jerry Yee, Jessica Berg, Jesus Peteiro, Jesús Peteiro, Jia Li, Jiamin Liu, Jianxin Zhang, Jill Marcus, Jim Blankenship, Jing Dong, Jiyan Chen, Jo Evans, Joaquín V Peñafiel, Joe Sabik, Johann Christopher, John B Kostis, John Joseph Graham, John Doan, John Jose, John Kotter, John Lehman, John Middleton, John Pownall, Jonathan M Gleadle, Jonathan S Chavez-Iñiguez, Jonathan Byrne, Jonathan Himmelfarb, Jonathan Lebowitz, Jonean Thorsen, Jorge Carrillo Calvillo, Jorge Escobedo, José A Ortega-Ramírez, José J Cuenca-Castillo, Jose L Diez, José Luis Narro Villanueva, José Luiz da Costa Vieira, José M Flores-Palacios, Jose Fragata, Jose Lopes, Jose Lopez-Sendon, José Lopez-Sendon, Jose Rueda, Joseph B Selvanayagam, Joseph Sacco, Joshua P Loh, Joy Burkhardt, Juan Manuel López Quijano, Juan Gaztanaga, Judit Sebo, Judith Wright, Juergen Stumpf, Julia de Aveiro Morata, Julio César Figal, Julio Hernandez Jaras, Junqing Yang, Jyotsna Garg, K Manjula Rani, K Preethi, Kaatje Goetschalckx, Karen Calfas, Karen Petrosyan, Karen Servilla, Karen Swan, Karin Ploetze, Karolina Kryczka, Karolina Wojtczak-Soska, Karolina Wojtera, Karthik Ramasamy, Katarzyna Łuczak, Katarzyna Malinowska, Katharina Knaut, Katherine Martin, Kathleen Claes, Kathryn Mason, Ken Mahaffey, Kenneth Gin, Kerry Lee, Kerstin Bonin, Kerstin Mikes, Kevin R Bainey, Kevin T Harley, Kevin Marzo, Kevin McMahon, Khaled Abdul-Nour, Khaled Alfakih, Khaled Dajani, Khrystyna Kushniriuk, Kian-Keong Poh, Kim Holland, Kimberly E Halverson, Kinnari Murphy, Kiran Reddy, Kirsten J Quiles, Kirsty Abercrombie, Klaus Matschke, Konrad Szymczyk, Koo Hui Chan, Kreton Mavromatis, Krishnakumar Hongalgi, Kristian Thygesen, Kristin M Salmi, Kristin Newby, Kristine Arges, Kristine Teoh, Krzysztof Drzymalski, Lalathaksha Kumbar, Laszlone Matics, LaTonya J Hickson, Laura Keinaite, Laura Sarti, Laura True, Lawrence M Phillips, Lawrence Friedman, Leandro C Maranan, Leda Lotaif, Lekshmi Dharmarajan, Leo A Bockeria, Leonardo Pizzol Caetano, Leonardo Bridi, Leonid L Bershtein, Li Hai Yan, Li Li, Lidia Sousa, Lihong Xu, Lihua Zhang, Lili Zhang, Lilian Mazza Barbosa, Liljana Tozija, Linda Arcand, Lino Patricio, Liping Zhang, Lisa Hatch, Lixin Jiang, Liz Low, Loay Salman, Lorena Lopez, Lori Pritchard, Luis Bernanrdes, Luis Guzman, Lynette L Teo, M Sowjanya Reddy, Maarten Simoons, Maayan Konigstein, Mafalda Selas, Magdalena Madero, Magdalena Miller, Magdalena Misztal-Teodorczyk, Magdy Abdelhamid, Magid Fahim, Mahevamma Mylarappa, Majo X Joseph, Malgorzata Frach, Manjula Rani, Marcello Galvani, Marcin Demkow, Marcin Szkopiak, Marco De Fabritis, Marco Magnoni, Marco Marini, Marco Sicuro, Marek Roik, Maria A Alfonso, Maria Antonieta Pereira de Moraes, María Dolores Martínez-Ruíz, Maria Eugenia Canziani, Maria Eugenia Martin, Maria Inês Caetano, Maria P Corral, Maria Pérez García, Maria Andreasson, Maria Posada, Marianna D A Dracoulakis, Mariano Rubio, Marija T Petrovic, Marina Vieira, Mario J Garcia, Mario D'arezzo, Maris Orgera, Marius Miglinas, Mark Garand, Mark Peterson, Mark Xavier, Marlowe Mosley, Marta Capinha, Marta Swiderek, Martha Meyer, Martina Ceseri, Martinia Tricoli, Mary Wiilliams, Mary Ann Champagne, Mary Streif, Massoud Leesar, Matei Claudia, Mateusz Solecki, Matías Nicolás Mungo, Matthew Shinseki, Matthew Weir, Maura Carina Nédio, Max-Paul Winter, Mayil S Krishnam, Meenakshi Mishra, Mei Hwang, Melemadathil Srilatha, Melissa LeFevre, Mengistu Simegn, Michael A Gibson, Michael B Rubens, Michael D Shapiro, Michael Chobanian, Michael Davidson, Michael Farkouh, Michael Mack, Michal Wlodarczyk, Michel G Khouri, Michelle Crowder, Michelle Ratliff, Miguel Borges Santos, Miguel Nobre Menezes, Miguel Perez Fontan, Miguel Barrero, Mihaly Tapolyai, Mikhail T Torosoff, Milan R Dobric, Milind Avdhoot Gadkari, Min Tun Kyaw, Miri Revivo, Mitchel B Lustre, Mohamed Adel, Mohamed Hassan, Mohammad El-Hajjar, Mohammed Hussain, Mohammed Saleem, Moisés Blanco-Calvo, Moisés Jiménez-Santos, Monika Laukyte, Muhamed Saric, Myrthes Emy Takiuti, Nadia Asif, Nagaraja Moorthy, Naima L Ogletree, Nana O Katamadze, Nandita Nataraj, Naomi Uchida, Nasrul Ismail, Natalia S Oliveira, Natalia de Carvalho Maffei, Nathalie Brosens, Naved Aslam, Naveed Akhtar, Neamat Mowafy, Neeraj Pandit, Neeraj Parakh, Neesh Pannu, Neill Duncan, Nevena Garcevic, Ngaire Meadows, Nicholas Danchin, Nicole Deming, Nikola N Boskovic, Nikolaos Karogiannis, Ning Zhang, Nirmal Kumar, Niruta Sharma, Nitika Chadha, Nitish Naik, Noelle M Durfee, Nora M Cosgrove, Norbert Urbanski, Norma Hogg, Olga Walesiak, Olga Zdończyk, Olga Zhdanova, Olivia Anaya, Olugbenga Bello, Omar Almousalli, Omar Thompson, Orit Kliuk, Oscar Méndiz, Óscar Prada-Delgado, Oz Shapira, Pablo Raffaele, Page Salanger, Pal Maurovich-Horvat, Pallav Garg, Paloma Moraga, Pam Singh, Pamela Ouyang, Pamela Woodard, Paola Emanuela Poggio Smanio, Paola Smanio, Paolo Calabro, Patricia K Nguyen, Patricia Alarie, Patricia Carrilho, Patricia Endsley, Patricia Pellikka, Patrycja Lebioda, Paul Der Mesropian, Paul Hauptman, Paula García-González, Paula Wilson, Paulo Cury Rezende, Paulo Novis Rocha, Pedro Canas Silva, Pedro Farto E Abreu, Pedro Píccaro de Oliveira, Pedro Carvalho, Pedro Modas, Pedro Rio, Peiyu He, Peter A McCullough, Peter H Stone, Peter Douglass, Peter Sizeland, Peter Voros, Philippe Gabriel Steg, Philippe Genereux, Philippe Généreux, Philippe Menasche, Philippe Rheault, Piero Tassinario, Pierre Gervais, Pilar Calvillo, Ping Chai, Piotr Jakubowski, Piotr Pruszczyk, Poay-Huan Loh, Pouneh Samadi, Prakash Deedwania, Pranav M Patel, Praneeth Polamuri, Pratiksha Sharma, Preeti Kamath, Prince Thomas, Priyadarshani Arambam, Puneet Sodhi, Pushpa Naik, Qi Zhong, Qian Zhao, Qianqian Yuan, Qiulan Xie, Rachel Murphy, Radmila Lyubarova, Radmilar Lyubarova, Raewyn Fisher, Rafael Diaz, Rafael Maldonado, Rafael Selgas, Raffaele Bugiardini, Rafia Chaudhry, Raisa Kavalakkat, Rajalekshmi Vs, Rajesh Gopalan Nair, Rajiv Narang, Rakesh Yadav, Ramiro Carvalho, Ramon de Jesús-Pérez, Ran Leng, Ranjan Kachru, Raquel Sanchez, Raven R Dwyer, Raven Lee, Ray Wyman, Raymond C Wong, Reinette Hampson, Renato Abdala Karam Kalil, Renato D Lopes, Renato George Eick, Renato Lopes, Reshma Ravindran, Reto Andreas Gamma, Ricardo Costa, Richa Bhatt, Richard H J Trimlett, Risha Patel, Rita Coram, Robert K Riezebos, Robert M Donnino, Robert Guyton, Robert Harrington, Robert Malecki, Roberto René Favaloro, Robyn Elliott, Rodolfo G S D Lima, Rohit Tandon, Rolf Doerr, Roma Tewari, Ron Wald, Rongrong Hu, Rory Collins, Roxana Mehran, Roxy Senior, Rubén Baleón-Espinosa, Ruben Ramos, Rui Ferreira, Ruth Kirby, Ruth Pérez-Fernández, S Ramakrishnan, S K Dwivedi, Sadath Lubna, Sadiq Ahmed, Sajeev Chakanalil Govindan, Salamah Alfalahi, Salvador Cruz-Flores, Salvatore P Costa, Sampoornima Setty, Samuel Nwosu, Sandeep Mahajan, Sandeep Seth, Sandeep Singh, Sander R Niehe, Sandy Carr, Sanja Simic Ogrizovic, Sanja Ogrizovic, Sanjeev Gulati, Sanjeev Sharma, Sara Fernandez, Sarah Williams, Sarju Ralhan, Sasko Kedev, Satinder Singh, Satish Sankaranarayanan, Satvic Cholenahally Manjunath, Sau Lee, Schawana Thaxton, Sean M O'Brien, Sebastian Sobczak, Seema Nour, Sergey A Sayganov, Sérgio Bravo Baptista, Sergio Draibe, Seth Sokol, Sharad Chandra, Shari Mackedanz, Shaun Goodman, Shayan Shirazian, Sheetal Rupesh Karwa, Sheri Ussery, Sheromani Bajaj, Shirin Heydari, Shiv Kumar Choudhary, Shivali Patel, Shruti Pandey, Shuyang Zhang, Siddharth Gadage, Sik-Yin V Tan, Sílvia Zottis Poletti, Silvia Valbuena, Simone Savaris, Solomon Yakubov, Songlin Zhu, Sonika Gupta, Sorin Brener, Sothinathan Gurunathan, Soundarya Nayak, Sowjanya Reddy, Stanley E Cobos, Stefan Weikl, Stephanie M Lane, Stephanie Ferket, Stephanie Mavromichalis, Stephen Fremes, Steven A Fein, Steven P Sedlis, Steven Giovannone, Steven Weitz, Subhash Banerjee, Sudhanva S Hegde, Suellen Hosino, Sulagna Mookherjee, Suman Singh, Sumith Abeygunasekara, Sundeep Mishra, Sunil Kumar Verma, Suresh Kumar, Suryaprakash Narayanappa, Susan K Milbrandt, Susana Silva, Susanna Stevens, Suvarna Kolhe, Suzana Tavares, Suzanne Welsh, T A Kishore, Tamara Colaiácovo Soares, Tapan Umesh Pillay, Tarek Rashid, Tarun K Mittal, Tauane Bello Duarte, Téodora Dutoiu, Teresa Delgadillo, Terrance Chua, Terrance Welch, Theodoros Kofidis, Thierry Lefevre, Tiago Silva, Timea Boros, Titus Lau, Tiziana Formisano, Tomasz Ciurus, Tomasz Tarchalski, Tracy Tan, Umesh Lingaraj, V K Bahl, V S Narain, Valentina Pellu, Valentine Lobo, Valerie Robesyn, Vandana Yadav, Veerabhadra Gupta, Verghese Mathew, Vicente Miro, Victoria Gumerova, Victoria Hernandez, Vijay Kher, Vijay Kumar, Vikas Makkar, Vikranth Reddy, Viktoria Bulkley, Vinoi George David, Virendra Misra, Virginia Fernández-Figares, Vladimir Ryasniansky, Vojislav L Giga, Wael A Almahmeed, Wan Xian Chan, Wanda C Marfori, Wanda Parker, Wayne Pennachi, Wei Ling Lau, Weibing Xing, Weijing Bian, Wendy L Stewart, Wendy Drewes, Whady Hueb, William Weintraub, Winnie C Sia, Xacobe Flores-Ríos, Xiang Ma, Xiangqiong Gu, Xiaomei Li, Xiaoyi Xu, Xin Fu, Xuemei Li, Xutong Wang, Yanek Pépin-Dubois, Yaron Arbel, Yechen Han, Yiming Lit, Ying Tung Sia, Ying Wang, Yining Yang, Yitong Ma, Yolayfi Peralta, Yves Smets, Yvonne Taul, Zalina Kudzoeva, Zeljko Z Markovic, Zhangsuo Liu, Zhenyu Liu, Zhiming Ye, Zixiang Yu, Zoltan Davidovits, Zvezdana Petronijevic
Subjects: Male, Intention to Treat Analysi, medicine.medical_treatment, Health Status, Myocardial Ischemia, 030204 cardiovascular system & hematology, Coronary Angiography, law.invention, Health Statu, 0302 clinical medicine, Randomized controlled trial, law, Surveys and Questionnaires, Odds Ratio, Surveys and Questionnaire, 030212 general & internal medicine, Myocardial infarction, Coronary Artery Bypass, medicine.diagnostic_test, General Medicine, Middle Aged, Intention to Treat Analysis, Cardiology, Female, Human, medicine.medical_specialty, Revascularization, Follow-Up Studie, 03 medical and health sciences, Percutaneous Coronary Intervention, Internal medicine, medicine, Humans, cardiovascular diseases, Healthy Lifestyle, Renal Insufficiency, Chronic, Proportional Hazards Models, Aged, Intention-to-treat analysis, business.industry, Coronary Artery Bypa, Percutaneous coronary intervention, Odds ratio, medicine.disease, Angiography, Exercise Test, Proportional Hazards Model, business, Kidney disease, Follow-Up Studies
Abstract: BACKGROUND In the ISCHEMIA-CKD trial, the primary analysis showed no significant difference in the risk of death or myocardial infarction with initial angiography and revascularization plus guideline-based medical therapy (invasive strategy) as compared with guideline-based medical therapy alone (conservative strategy) in participants with stable ischemic heart disease, moderate or severe ischemia, and advanced chronic kidney disease (an estimated glomerular filtration rate of
Published: 2020

31. The Future of Cardiovascular Computed Tomography

Author: Kelly Han, Pal Maurovich Horvat, Bjarne L. Nørgaard, Philipp Blanke, Edward D. Nicol, Amir Ahmadi, Jonathon Leipsic, Jonathon Weir-McCall, and Jeroen J. Bax
Subjects: medicine.medical_specialty, Heart disease, medicine.diagnostic_test, business.industry, Radiation dose, Computed tomography, 030204 cardiovascular system & hematology, medicine.disease, 030218 nuclear medicine & medical imaging, Coronary artery disease, 03 medical and health sciences, 0302 clinical medicine, Clinical decision making, Radiomics, Analytics, medicine, Radiology, Nuclear Medicine and imaging, Cardiology and Cardiovascular Medicine, Intensive care medicine, business
Abstract: Cardiovascular computed tomography (CCT) has undergone rapid maturation over the last decade and is now of proven clinical utility in the diagnosis and management of coronary artery disease, in guiding structural heart disease intervention, and in the diagnosis and treatment of congenital heart disease. The next decade will undoubtedly witness further advances in hardware and advanced analytics that will potentially see an increasingly core role for CCT at the center of clinical cardiovascular practice. In coronary artery disease assessment this may be via improved hemodynamic adjudication, and shear stress analysis using computational flow dynamics, more accurate and robust plaque characterization with spectral or photon-counting CT, or advanced quantification of CT data via artificial intelligence, machine learning, and radiomics. In structural heart disease, CCT is already pivotal to procedural planning with adjudication of gradients before and following intervention, whereas in congenital heart disease CCT is already used to support clinical decision making from neonates to adults, often with minimal radiation dose. In both these areas the role of computational flow dynamics, advanced tissue printing, and image modelling has the potential to revolutionize the way these complex conditions are managed, and CCT is likely to become an increasingly critical enabler across the whole advancing field of cardiovascular medicine.
Published: 2019

32. Standardised computed tomographic assessment of left atrial morphology and tissue thickness in humans

Author: David Laszlo Tarnoki, Levente Littvay, Mark D O'Neill, Júlia Karády, Iain Sim, Steven Williams, Louisa O'Neill, Orod Razeghi, Reza Razavi, Catalina Tobon-Gomez, Marie Decroocq, Rashed Karim, Ronak Rajani, Daniel O'Hare, John Whitaker, Steven A. Niederer, Márton Kolossváry, Rahul K Mukherjee, Adam Domonkos Tarnoki, Béla Merkely, Pal Maurovich Horvat, Irum Kotadia, Szilard Voros, Cesare Corrado, and Thomas E. Fastl
Subjects: lcsh:Diseases of the circulatory (Cardiovascular) system, Future studies, AF, atrial fibrillation, Tissue thickness, BSA, body surface area, DZ, dizygotic, LAA, left atrial appendage, 030204 cardiovascular system & hematology, LATV, left atrial tissue volume, LA, left atrium, Computed tomographic, 03 medical and health sciences, 0302 clinical medicine, LASA, left atrial surface area, Left atrial, Medicine, 030212 general & internal medicine, Pathological, Computed tomography (CT), PV, pulmonary vein, Original Paper, business.industry, CCTA, cardiac computed tomography, MZ, monozygotic, Twin study, lcsh:RC666-701, Left atrium, Cohort, LAWT, left atrial wall thickness, LACV, left atrial cavity volume, Cardiology and Cardiovascular Medicine, Nuclear medicine, business, Tissue volume
Abstract: Aims: Left atrial (LA) remodelling is a common feature of many cardiovascular pathologies and is a sensitive marker of adverse cardiovascular outcomes. The aim of this study was to establish normal ranges for LA parameters derived from coronary computed tomographic angiography (CCTA) imaging using a standardised image processing pipeline to establish normal ranges in a previously described cohort. Methods: CCTA imaging from 193 subjects recruited to the Budapest GLOBAL twin study was analysed. Indexed LA cavity volume (LACVi), LA surface area (LASAi), wall thickness and LA tissue volume (LATVi) were calculated. Wall thickness maps were combined into an atlas. Indexed LA parameters were compared with clinical variables to identify early markers of pathological remodelling. Results: LACVi is similar between sexes (31 ml/m2 v 30 ml/m2) and increased in hypertension (33 ml/m2 v 29 ml/m2, p = 0.009). LASAi is greater in females than males (47.8 ml/m2 v 45.8 ml/m2 male, p = 0.031). Median LAWT was 1.45 mm. LAWT was lowest at the inferior portion of the posterior LA wall (1.14 mm) and greatest in the septum (median = 2.0 mm) (p
Published: 2021

33. Erratum to: Radiation safety for cardiovascular computed tomography imaging in paediatric cardiology: a joint expert consensus document of the EACVI, ESCR, AEPC, and ESPR

Author: Marco Francone, Alessia Gimelli, Ricardo P J Budde, Pablo Caro-Dominguez, Andrew J Einstein, Matthias Gutberlet, Pal Maurovich-Horvat, Owen Miller, Eszter Nagy, Luigi Natale, Charles Peebles, Steffen E Petersen, Thomas Semple, Israel Valverde, Inga Voges, Aurelio Secinaro, Giovanni Di Salvo, and Radiology & Nuclear Medicine
Subjects: Heart Defects, Congenital, Consensus, Cardiology, CCT, children, congenital heart disease, radiation exposure, radiation protection, General Medicine, Radiation Dosage, SDG 3 - Good Health and Well-being, Humans, Radiology, Nuclear Medicine and imaging, Child, Tomography, X-Ray Computed, Cardiology and Cardiovascular Medicine
Abstract: Children with congenital and acquired heart disease may be exposed to relatively high lifetime cumulative doses of ionizing radiation from necessary medical invasive and non-invasive imaging procedures. Although these imaging procedures are all essential to the care of these complex paediatric population and have contributed to meaningfully improved outcomes in these patients, exposure to ionizing radiation is associated with potential risks, including an increased lifetime attributable risk of cancer. The goal of this manuscript is to provide a comprehensive review of radiation dose management and cardiac computed tomography performance in the paediatric population with congenital and acquired heart disease, to encourage informed imaging to achieve indication-appropriate study quality at the lowest achievable dose.
Published: 2022

34. Erratum to: Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging—part I

Author: Gianluca Pontone, Alexia Rossi, Marco Guglielmo, Marc R Dweck, Oliver Gaemperli, Koen Nieman, Francesca Pugliese, Pal Maurovich-Horvat, Alessia Gimelli, Bernard Cosyns, Stephan Achenbach, Clinical sciences, Cardio-vascular diseases, and Cardiology
Subjects: Cardiac computed tomography, Radiology, Nuclear Medicine and imaging, cardiovascular imaging, General Medicine, Cardiology and Cardiovascular Medicine
Published: 2022

35. Discharge protocol in acute pancreatitis: an international survey and cohort analysis

Author: Rita Nagy, Klementina Ocskay, Zoltán Sipos, Andrea Szentesi, Áron Vincze, László Czakó, Ferenc Izbéki, Natalia V. Shirinskaya, Vladimir L. Poluektov, Alexandr N. Zolotov, Yin Zhu, Liang Xia, Wenhua He, Robert Sutton, Peter Szatmary, Rajarshi Mukherjee, Isobel Saffron Burridge, Emma Wauchope, Elsa Francisco, David Aparicio, Bruno Pinto, António Gomes, Vitor Nunes, Vasile Marcel Tantau, Emanuela Denisa Sagau, Alina Ioana Tantau, Andra Iulia Suceveanu, Cristina Tocia, Andrei Dumitru, Elizabeth Pando, Piero Alberti, Arturo Cirera, Xavier Molero, Hong Sik Lee, Min Kyu Jung, Eui Joo Kim, Sanghyub Lee, María Lourdes Ruiz Rebollo, Reyes Busta Nistal, Sandra Izquierdo Santervas, Dusan Lesko, Marek Soltes, Jozef Radonak, Hubert Zatorski, Ewa Małecka-Panas, Adam Fabisiak, M. Susak Yaroslav, V. Maksymenko Mykhailo, A. Tkachenko Olekcandr, Giedrius Barauskas, Vytautas Simanaitis, Povilas Ignatavicius, Mariana Jinga, Vasile-Daniel Balaban, Cristina Patoni, Liang Gong, Kai Song, Yunlong Li, T. Cúrdia Gonçalves, Marta Freitas, Vítor Macedo, Marlies Vornhuelz, Sarah Klauss, Georg Beyer, Aydin Seref Koksal, Mukaddes Tozlu, Ahmet Tarik Eminler, Nuria Torres Monclús, Eva Pijoan Comas, Juan Armando Rodriguez Oballe, Łukasz Nawacki, Stanisław Głuszek, Alberto Rama-Fernández, Marco Galego, Daniel de la Iglesia, Umut Emre Aykut, Deniz Güney Duman, Rahmi Aslan, Adriana Gherbon, Lihui Deng, Wei Huang, Qing Xia, Goran Poropat, Anja Radovan, Luka Vranić, Claudio Ricci, Carlo Ingaldi, Riccardo Casadei, Ionut Negoi, Cezar Ciubotaru, Florin Mihail Iordache, Gabriel Constantinescu, Vasile Sandru, Engin Altintas, Hatice Rizaoglu Balci, Júlio Constantino, Débora Aveiro, Jorge Pereira, Suleyman Gunay, Seda Misirlioglu Sucan, Oleksiy Dronov, Inna Kovalska, Nikhil Bush, Surinder Singh Rana, Serge Chooklin, Serhii Chuklin, Ionut Adrian Saizu, Cristian Gheorghe, Philipp Göltl, Michael Hirth, Radu Bogdan Mateescu, Geanina Papuc, Georgi Angelov Minkov, Emil Tihomirov Enchev, Laura Mastrangelo, Elio Jovine, Weiwei Chen, Quping Zhu, Anita Gąsiorowska, Natalia Fabisiak, Mihailo Bezmarevic, Andrey Litvin, Martina Cattani Mottes, Eun Kwang Choi, Peter Bánovčin, Lenka Nosáková, Mila Dimitrova Kovacheva-Slavova, Ali Kchaou, Ahmed Tlili, Marco V. Marino, Katarzyna Kusnierz, Artautas Mickevicius, Marcus Hollenbach, Pavol Molcan, Orestis Ioannidis, Mark Valerievich Tokarev, Ali Tüzün Ince, Ivan Albertovich Semenenko, Shamil Galeev, Elena Ramírez-Maldonado, Ville Sallinen, Petr Pencik, Judit Bajor, Patricia Sarlós, Roland Hágendorn, Szilárd Gódi, Imre Szabó, József Czimmer, Gabriella Pár, Anita Illés, Nándor Faluhelyi, Péter Kanizsai, Tamás Nagy, Alexandra Mikó, Balázs Németh, József Hamvas, Barnabás Bod, Márta Varga, Imola Török, János Novák, Árpád Patai, János Sümegi, Csaba Góg, Mária Papp, Bálint Erőss, Szilárd Váncsa, Brigitta Teutsch, Katalin Márta, Péter Jenő Hegyi, Tamás Tornai, Balázs Lázár, Tamás Hussein, Dorottya Tarján, Mónika Lipp, Beáta Kovács, Orsolya Urbán, Emese Fürst, Edina Tari, Ibolya Kocsis, Pál Maurovich-Horvát, Balázs Tihanyi, Orsolya Eperjesi, Zita Kormos, Pál Ákos Deák, Andrea Párniczky, and Péter Hegyi
Subjects: Medicine, Science
Abstract: Abstract There are several overlapping clinical practice guidelines in acute pancreatitis (AP), however, none of them contains suggestions on patient discharge. The Hungarian Pancreatic Study Group (HPSG) has recently developed a laboratory data and symptom-based discharge protocol which needs to be validated. (1) A survey was conducted involving all members of the International Association of Pancreatology (IAP) to understand the characteristics of international discharge protocols. (2) We investigated the safety and effectiveness of the HPSG-discharge protocol. According to our international survey, 87.5% (49/56) of the centres had no discharge protocol. Patients discharged based on protocols have a significantly shorter median length of hospitalization (LOH) (7 (5;10) days vs. 8 (5;12) days) p
Published: 2023
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36. Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry

Author: Nitesh Nerlekar, Aryabod Razipour, Sebastien Cadet, Nicola Gaibazzi, Barry D. Pressman, Damini Dey, Roberto Menè, Andrew Lin, Gianluca Pontone, Elisabetta Mancini, Camilla Torlasco, Peter J. Julien, Kajetan Grodecki, Pal Maurovich-Horvat, Piotr J. Slomka, Cato Chan, Cecilia Agalbato, Priscilla McElhinney, Franco Cernigliaro, Udit Thakur, and Gianfranco Parati
Subjects: medicine.medical_specialty, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), Adverse outcomes, business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Chest ct, 030204 cardiovascular system & hematology, medicine.disease, Pulmonary Imaging, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Pneumonia, 0302 clinical medicine, Emergency medicine, Post-hoc analysis, medicine, Radiology, Nuclear Medicine and imaging, In patient, business, Original Research
Abstract: Purpose To examine the independent and incremental value of CT-derived quantitative burden and attenuation of COVID-19 pneumonia for the prediction of clinical deterioration or death. Methods This was a retrospective analysis of a prospective international registry of consecutive patients with laboratory-confirmed COVID-19 and chest CT imaging, admitted to four centers between January 10 and May 6, 2020. Total burden (expressed as a percentage) and mean attenuation of ground glass opacities (GGO) and consolidation were quantified from CT using semi-automated research software. The primary outcome was clinical deterioration (intensive care unit admission, invasive mechanical ventilation, or vasopressor therapy) or in-hospital death. Logistic regression was performed to assess the predictive value of clinical and CT parameters for the primary outcome. Results The final population comprised 120 patients (mean age 64 ± 16 years, 78 men), of whom 39 (32.5%) experienced clinical deterioration or death. In multivariable regression of clinical and CT parameters, consolidation burden (odds ratio [OR], 3.4; 95% confidence interval [CI]: 1.7, 6.9 per doubling; P = .001) and increasing GGO attenuation (OR, 3.2; 95% CI: 1.3, 8.3 per standard deviation, P = .02) were independent predictors of deterioration or death; as was C-reactive protein (OR, 2.1; 95% CI: 1.3, 3.4 per doubling; P = .004), history of heart failure (OR 1.3; 95% CI: 1.1, 1.6, P = .01), and chronic lung disease (OR, 1.3; 95% CI: 1.0, 1.6; P = .02). Quantitative CT measures added incremental predictive value beyond a model with only clinical parameters (area under the curve, 0.93 vs 0.82, P = .006). The optimal prognostic cutoffs for burden of COVID-19 pneumonia as determined by Youden’s index were consolidation of greater than or equal to 1.8% and GGO of greater than or equal to 13.5%. Conclusions Quantitative burden of consolidation or GGO on chest CT independently predict clinical deterioration or death in patients with COVID-19 pneumonia. CT-derived measures have incremental prognostic value over and above clinical parameters, and may be useful for risk stratifying patients with COVID-19.
Published: 2020

37. EACVI Handbook of Cardiovascular CT

Author: Oliver Gaemperli, Pál Maurovich- Horvat, Koen Nieman, Gianluca Pontone, Francesca Pugliese, Oliver Gaemperli, Pál Maurovich- Horvat, Koen Nieman, Gianluca Pontone, and Francesca Pugliese
Subjects: Cardiovascular system--Diseases--Diagnosis, Heart--Tomography
Abstract: Since its clinical introduction almost 20 years ago, cardiac CT has been embraced as an indispensable noninvasive cardiac imaging modality and an important first-line test for coronary artery disease. Beyond coronary artery disease, the potential of cardiac CT has become evident for diagnosis and guidance of treatment in a variety of other cardiac pathologies, including valvular disease, atrial fibrillation and other arrhythmias, endocarditis, cardiac masses, cardiomyopathies, and others. The European Association of Cardiovascular Imaging (EACVI) has declared as one of their foremost priorities to facilitate education and training in cardiovascular CT through teaching courses, congresses, and a structured certification program. This handbook represents an important step towards dissemination of skills and knowledge in cardiovascular CT. It is a concise and practical companion, to benefit students, trainees or advanced users; cardiologists, radiologists, cardiac surgeons or technicians, in their everyday practice. Four broad sections cover technical aspects and physical background, coronary indications (e.g. coronary CT angiography, atherosclerosis imaging, stents & bypasses, functional CT imaging, etc.), non-coronary indications (CT for valve disease, infective endocarditis, CT of the left atrium, congenital heart disease, cardiac masses, extracardiac findings, etc.), and finally training and competence in cardiac CT. The handbook features short chapters, enriched with illustrations, tables and condensed summaries, facilitating rapid and intuitive access.
Published: 2022

38. Coronary Computed Tomography Angiography-Specific Definitions of High-Risk Plaque Features Improve Detection of Acute Coronary Syndrome

Author: Daniel O, Bittner, Thomas, Mayrhofer, Stefan B, Puchner, Michael T, Lu, Pal, Maurovich-Horvat, Khristine, Ghemigian, Pieter H, Kitslaar, Alexander, Broersen, Fabian, Bamberg, Quynh A, Truong, Christopher L, Schlett, Udo, Hoffmann, and Maros, Ferencik
Subjects: Adult, Male, Computed Tomography Angiography, Coronary Artery Disease, Vascular Remodeling, Coronary Angiography, Risk Assessment, Severity of Illness Index, Predictive Value of Tests, Risk Factors, Multidetector Computed Tomography, Humans, Multicenter Studies as Topic, Acute Coronary Syndrome, Ultrasonography, Interventional, Aged, Randomized Controlled Trials as Topic, Retrospective Studies, Observer Variation, Coronary Stenosis, Reproducibility of Results, Middle Aged, Prognosis, Coronary Vessels, Plaque, Atherosclerotic, United States, Female
Abstract: Background High-risk plaque (HRP) features as detected by coronary computed tomography angiography (CTA) predict acute coronary syndrome (ACS). We sought to determine whether coronary CTA-specific definitions of HRP improve discrimination of patients with ACS as compared with definitions from intravascular ultrasound (IVUS). Methods and Results In patients with suspected ACS, randomized to coronary CTA in the ROMICAT II (Rule Out Myocardial Infarction/Ischemia Using Computer Assisted Tomography II) trial, we retrospectively performed semiautomated quantitative analysis of HRP (including remodeling index, plaque burden as derived by plaque area, low computed tomography attenuation plaque volume) and degree of luminal stenosis and analyzed the performance of traditional IVUS thresholds to detect ACS. Furthermore, we derived CTA-specific thresholds in patients with ACS to detect culprit lesions and applied those to all patients to calculate the discriminatory ability to detect ACS in comparison to IVUS thresholds. Of 472 patients, 255 patients (56±7.8 years; 63% men) had coronary plaque. In 32 patients (6.8%) with ACS, culprit plaques (n=35) differed from nonculprit plaques (n=172) with significantly greater values for all HRP features except minimal luminal area (significantly lower; all P0.01). IVUS definitions showed good performance while minimal luminal area (odds ratio: 6.82; P=0.014) and plaque burden (odds ratio: 5.71; P=0.008) were independently associated with ACS but not remodeling index (odds ratio: 0.78; P=0.673). Optimized CTA-specific thresholds for plaque burden (area under the curve: 0.832 versus 0.676) and degree of stenosis (area under the curve: 0.826 versus 0.721) showed significantly higher diagnostic performance for ACS as compared with IVUS-based thresholds (all P0.05) with borderline significance for minimal luminal area (area under the curve: 0.817 versus 0.742; P=0.066). Conclusions CTA-specific definitions of HRP features may improve the discrimination of patients with ACS as compared with IVUS-based definitions. CLINICAL TRIAL REGISTRATION URL: https://www.clinicaltrials.gov . Unique identifier: NCT01084239.
Published: 2018

39. The Future of Cardiovascular Computed Tomography: Advanced Analytics and Clinical Insights

Author: Edward D, Nicol, Bjarne L, Norgaard, Philipp, Blanke, Amir, Ahmadi, Jonathon, Weir-McCall, Pal Maurovich, Horvat, Kelly, Han, Jeroen J, Bax, and Jonathon, Leipsic
Subjects: Patient-Specific Modeling, Tomography Scanners, X-Ray Computed, Heart Diseases, Computed Tomography Angiography, Predictive Value of Tests, Printing, Three-Dimensional, Models, Cardiovascular, Humans, Diffusion of Innovation, Coronary Angiography, Prognosis, Forecasting
Abstract: Cardiovascular computed tomography (CCT) has undergone rapid maturation over the last decade and is now of proven clinical utility in the diagnosis and management of coronary artery disease, in guiding structural heart disease intervention, and in the diagnosis and treatment of congenital heart disease. The next decade will undoubtedly witness further advances in hardware and advanced analytics that will potentially see an increasingly core role for CCT at the center of clinical cardiovascular practice. In coronary artery disease assessment this may be via improved hemodynamic adjudication, and shear stress analysis using computational flow dynamics, more accurate and robust plaque characterization with spectral or photon-counting CT, or advanced quantification of CT data via artificial intelligence, machine learning, and radiomics. In structural heart disease, CCT is already pivotal to procedural planning with adjudication of gradients before and following intervention, whereas in congenital heart disease CCT is already used to support clinical decision making from neonates to adults, often with minimal radiation dose. In both these areas the role of computational flow dynamics, advanced tissue printing, and image modelling has the potential to revolutionize the way these complex conditions are managed, and CCT is likely to become an increasingly critical enabler across the whole advancing field of cardiovascular medicine.
Published: 2018

40. Diet and Lifestyle Intervention-Induced Pattern of Weight Loss Related to Reduction in Low-Attenuation Coronary Plaque Burden

Author: Jan Henzel, Mariusz Kruk, Cezary Kępka, Magdalena Makarewicz-Wujec, Łukasz Wardziak, Piotr Trochimiuk, Hubert Krysztofiak, Rafał Dąbrowski, Zofia Dzielińska, Pál Maurovich-Horvat, and Marcin Demkow
Subjects: coronary artery disease, coronary plaque, coronary computed tomography angiography, DASH diet, lifestyle intervention, obesity, Medicine (General), R5-920
Abstract: Background: Despite extensive research on body weight and cardiovascular risk, the mechanistic relationship between weight loss and coronary plaque modification has not been adequately addressed. This study aimed to determine the association between body composition dynamics and low-attenuation coronary plaque (LAP) burden. Methods: Eighty-nine participants (40% women, 60 ± 7.7 years) of the Dietary Intervention to Stop Coronary Atherosclerosis in Computed Tomography (DISCO-CT) study with non-obstructive atherosclerosis with nonobstructive atherosclerosis confirmed in computed tomography angiography (CCTA), a randomized (1:1), prospective, single-center study were included into the analysis. Patients were randomly assigned to either experimental arm (intensive diet and lifestyle intervention atop optimal medical therapy, n = 45) or control arm (optimal medical therapy alone, n = 44) over 66.8 ± 13.7 weeks. Changes (∆) in body mass (BM) and body composition parameters, including total body fat (TBF), skeletal muscle mass (SMM), and fat-to-muscle ratio (FMR), measured with bioimpedance analyzer were compared with CCTA-measured ∆LAP. Coronary plaque analysis was performed using the 2 × 192 dual-energy scanner (Somatom Force, Siemens, Germany), while quantitative coronary plaque measurements were performed using a semi-automated plaque analysis software system (QAngioCT v3.1.3.13, Medis Medical Imaging Systems, Leiden, The Netherlands). Results: Significant intergroup differences were found for ∆BM (−3.6 ± 4.9 kg in the experimental vs. −1.4 ± 2.9 kg in the control group, p = 0.015), ∆TBF (−3.4 ± 4.8% in the experimental vs. 1.1 ± 5.5% in the control arm, p < 0.001), ∆SMM (1.9 ± 2.8% in the experimental vs. −0.7 ± 3.2% in the control arm, p < 0.001), and FMR [−12.9 (−21.2; −4.3)% in the experimental vs. 3.1 (−5.3; 10.7)% in the control arm, p < 0.001]. ∆LAP did not differ significantly between the study arms; however, in the whole study population, ∆LAP was positively correlated with ∆BM, ∆TBF, and ∆FMR (r = 0.45, p < 0.001; r = 0.300, p = 0.004; r = 0.233, p = 0.028, respectively), and negatively with ∆SMM (r = −0.285, p = 0.007). Multivariate linear regression analysis revealed the association of ∆LAP with ∆BM, ∆TBF, and ∆FMR. Conclusions: The study intervention resulted in BM reduction characterized by fat loss, skeletal muscle gain, and increased FMR. This weight loss pattern may lead to a reduction in high-risk coronary plaque. Compared to a simple weight control, tracking body composition changes over time can provide valuable information on adverse coronary plaque modification.
Published: 2024
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41. Microvascular flow imaging to differentiate focal hepatic lesions: the spoke-wheel pattern as a specific sign of focal nodular hyperplasia

Author: Aladár David Rónaszéki, Ibolyka Dudás, Boglarka Zsély, Bettina Katalin Budai, Róbert Stollmayer, Oszkár Hahn, Barbara Csongrády, Byung-so Park, Pál Maurovich-Horvat, Gabriella Győri, and Pal Novak Kaposi
Subjects: focal nodular hyperplasia, microvascular doppler ultrasound, focal liver lesion, diagnostic sign, Medical technology, R855-855.5
Abstract: Microvascular flow imaging (MVFI) is an advanced Doppler ultrasound technique designed to detect slow-velocity blood flow in small-caliber microvessels. This technique is capable of realtime, highly detailed visualization of tumor vessels without using a contrast agent. MVFI has been recently applied for the characterization of focal liver lesions and has revealed typical vascularity distributions in multiple types thereof. Focal nodular hyperplasia (FNH) constitutes an important differential diagnosis of malignant liver tumors. In this essay, we provide iconographic documentation of the MVFI appearance of FNH and other common solid liver lesions. Identifying the typical patterns of vascularity, including the spoke-wheel pattern with MVFI, can expedite the diagnosis, spare patients from unnecessary procedures, and save costs.
Published: 2023
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42. Coronary Plaque Morphology and the Anti-Inflammatory Impact of Atorvastatin: A Multicenter 18F-Fluorodeoxyglucose Positron Emission Tomographic/Computed Tomographic Study

Author: Parmanand, Singh, Hamed, Emami, Sharath, Subramanian, Pal, Maurovich-Horvat, Gergana, Marincheva-Savcheva, Hector M, Medina, Amr, Abdelbaky, Achilles, Alon, Sudha S, Shankar, James H F, Rudd, Zahi A, Fayad, Udo, Hoffmann, and Ahmed, Tawakol
Subjects: Adult, Male, Time Factors, Computed Tomography Angiography, Anti-Inflammatory Agents, Coronary Artery Disease, Coronary Angiography, Severity of Illness Index, Article, Double-Blind Method, Fluorodeoxyglucose F18, Predictive Value of Tests, Risk Factors, Positron Emission Tomography Computed Tomography, Atorvastatin, Humans, Prospective Studies, Vascular Calcification, Aged, Middle Aged, Coronary Vessels, Plaque, Atherosclerotic, United States, Treatment Outcome, Female, Inflammation Mediators, Radiopharmaceuticals, Biomarkers
Abstract: Nonobstructive coronary plaques manifesting high-risk morphology (HRM) associate with an increased risk of adverse clinical cardiovascular events. We sought to test the hypothesis that statins have a greater anti-inflammatory effect within coronary plaques containing HRM.In this prospective multicenter study, 55 subjects with or at high risk for atherosclerosis underwentIn this first study to evaluate the impact of statins on coronary inflammation, we observed that the anti-inflammatory impact of statins is substantially greater within coronary plaques that contain HRM features. These findings suggest an additional mechanism by which statins disproportionately benefit individuals with more advanced atherosclerotic disease.URL: http://www.clinicaltrials.gov. Unique identifier: NCT00703261.
Published: 2015

43. hs-Troponin I Followed by CT Angiography Improves Acute Coronary Syndrome Risk Stratification Accuracy and Work-Up in Acute Chest Pain Patients: Results From ROMICAT II Trial

Author: Maros, Ferencik, Ting, Liu, Thomas, Mayrhofer, Stefan B, Puchner, Michael T, Lu, Pal, Maurovich-Horvat, J Hector, Pope, Quynh A, Truong, James E, Udelson, W Frank, Peacock, Charles S, White, Pamela K, Woodard, Jerome L, Fleg, John T, Nagurney, James L, Januzzi, and Udo, Hoffmann
Subjects: Adult, Male, Troponin I, Coronary Stenosis, Coronary Artery Disease, Middle Aged, Coronary Angiography, Coronary Vessels, Risk Assessment, Severity of Illness Index, Plaque, Atherosclerotic, United States, Angina Pectoris, Hospitalization, Predictive Value of Tests, Risk Factors, Humans, Female, Acute Coronary Syndrome, Emergency Service, Hospital, Tomography, X-Ray Computed, Vascular Calcification, Biomarkers
Abstract: This study compared diagnostic accuracy of conventional troponin/traditional coronary artery disease (CAD) assessment and highly sensitive troponin (hsTn) I/advanced CAD assessment for acute coronary syndrome (ACS) during the index hospitalization.hsTnI and advanced assessment of CAD using coronary computed tomography angiography (CTA) are promising candidates to improve the accuracy of emergency department evaluation of patients with suspected ACS.We performed an observational cohort study in patients with suspected ACS enrolled in the ROMICAT II (Rule Out Myocardial Infarction/Ischemia using Computer Assisted Tomography) trial and randomized to coronary CTA who also had hsTnI measurement at the time of the emergency department presentation. We assessed coronary CTA for traditional (no CAD, nonobstructive CAD, ≥50% stenosis) and advanced features of CAD (≥50% stenosis, high-risk plaque features: positive remodeling, low30-Hounsfield units plaque, napkin-ring sign, spotty calcium).Of 160 patients (mean age: 53 ± 8 years, 40% women) 10.6% were diagnosed with ACS. The ACS rate in patients with hsTnI below the limit of detection (n = 9, 5.6%), intermediate (n = 139, 86.9%), and above the 99th percentile (n = 12, 7.5%) was 0%, 8.6%, and 58.3%, respectively. Absence of ≥50% stenosis and high-risk plaque ruled out ACS in patients with intermediate hsTnI (n = 87, 54.4%; ACS rate 0%), whereas patients with both ≥50% stenosis and high-risk plaque were at high risk (n = 13, 8.1%; ACS rate 69.2%) and patients with either ≥50% stenosis or high-risk plaque were at intermediate risk for ACS (n = 39, 24.4%; ACS rate 7.7%). hsTnI/advanced coronary CTA assessment significantly improved the diagnostic accuracy for ACS as compared to conventional troponin/traditional coronary CTA (area under the curve 0.84, 95% confidence interval [CI]: 0.80 to .88 vs. 0.74, 95% CI: 0.70 to 0.78; p0.001).hsTnI at the time of presentation followed by early advanced coronary CTA assessment improves the risk stratification and diagnostic accuracy for ACS as compared to conventional troponin and traditional coronary CTA assessment. (Multicenter Study to Rule Out Myocardial Infarction/Ischemia by Cardiac Computed Tomography [ROMICAT-II]; NCT01084239).
Published: 2015

44. The Calculation and Evaluation of an Ultrasound-Estimated Fat Fraction in Non-Alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease

Author: Pál Novák Kaposi, Zita Zsombor, Aladár D. Rónaszéki, Bettina K. Budai, Barbara Csongrády, Róbert Stollmayer, Ildikó Kalina, Gabriella Győri, Viktor Bérczi, Klára Werling, Pál Maurovich-Horvat, Anikó Folhoffer, and Krisztina Hagymási
Subjects: attenuation coefficient, backscatter-distribution coefficient, liver stiffness, quantitative ultrasound, non-alcoholic fatty liver disease, metabolic-associated fatty liver disease, Medicine (General), R5-920
Abstract: We aimed to develop a non-linear regression model that could predict the fat fraction of the liver (UEFF), similar to magnetic resonance imaging proton density fat fraction (MRI-PDFF), based on quantitative ultrasound (QUS) parameters. We measured and retrospectively collected the ultrasound attenuation coefficient (AC), backscatter-distribution coefficient (BSC-D), and liver stiffness (LS) using shear wave elastography (SWE) in 90 patients with clinically suspected non-alcoholic fatty liver disease (NAFLD), and 51 patients with clinically suspected metabolic-associated fatty liver disease (MAFLD). The MRI-PDFF was also measured in all patients within a month of the ultrasound scan. In the linear regression analysis, only AC and BSC-D showed a significant association with MRI-PDFF. Therefore, we developed prediction models using non-linear least squares analysis to estimate MRI-PDFF based on the AC and BSC-D parameters. We fitted the models on the NAFLD dataset and evaluated their performance in three-fold cross-validation repeated five times. We decided to use the model based on both parameters to calculate UEFF. The correlation between UEFF and MRI-PDFF was strong in NAFLD and very strong in MAFLD. According to a receiver operating characteristics (ROC) analysis, UEFF could differentiate between
Published: 2023
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45. Parapharyngeal Fat Tissue Accumulation and Its Association with Carotid Intima-Media Thickness in Discordant Twin Pairs

Author: Zsofia Jokkel, Marcell Szily, Marton Piroska, Helga Szabó, Anita Hernyes, Gergely Szabó, Ildikó Kalina, Pál Maurovich-Horvat, David Laszlo Tarnoki, and Adam Domonkos Tarnoki
Subjects: obstructive sleep apnea, twin study, atherosclerosis, obesity, heritability, anatomy, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract: Background: Recurrent upper airway obstruction during sleep is a common feature of obstructive sleep apnea (OSA). Risk factors for the development of OSA include obesity, male gender and smoking. In addition, anatomical factors contribute to the development of the disease; however, the heritability of the anatomical structures that determine upper airway narrowing is poorly understood. In this study, we aimed to investigate the background of anatomical structures associated with upper airway narrowing in discordant monozygotic (MZ) twin pairs. Methods: 33 adult MZ twin pairs (median age and Q1-Q3: 50 (42–56) years) from the Hungarian Twin Registry underwent head and neck MR (Philips Ingenia 1.5 T). T1- and T2-weighted images in sagittal, coronal and axial planes were used to measure cephalometric, soft tissue and adipose tissue structures. In addition, the twin pairs underwent carotid and femoral ultrasound scans (Samsung RS85) and full-body composition measurements (OMRON BF500). The analysis of discordant MZ twins for anatomical markers in relation to clinical background, blood test, vascular ultrasound and body composition results was performed using a paired permutation test. Results: We found a significant association between parapharyngeal adipose tissue area and body weight, waist circumference and metabolism (p < 0.05). Submental adipose tissue thickness showed an association with lower body muscle percentage (
Published: 2023
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46. The Predictive Role of Artificial Intelligence-Based Chest CT Quantification in Patients with COVID-19 Pneumonia

Author: István Viktor Szabó, Judit Simon, Chiara Nardocci, Anna Sára Kardos, Norbert Nagy, Renad-Heyam Abdelrahman, Emese Zsarnóczay, Bence Fejér, Balázs Futácsi, Veronika Müller, Béla Merkely, and Pál Maurovich-Horvat
Subjects: COVID-19, artificial intelligence, computed tomography, Computer applications to medicine. Medical informatics, R858-859.7
Abstract: We sought to analyze the prognostic value of laboratory and clinical data, and an artificial intelligence (AI)-based algorithm for Coronavirus disease 2019 (COVID-19) severity scoring, on CT-scans of patients hospitalized with COVID-19. Moreover, we aimed to determine personalized probabilities of clinical deterioration. Data of symptomatic patients with COVID-19 who underwent chest-CT-examination at the time of hospital admission between April and November 2020 were analyzed. COVID-19 severity score was automatically quantified for each pulmonary lobe as the percentage of affected lung parenchyma with the AI-based algorithm. Clinical deterioration was defined as a composite of admission to the intensive care unit, need for invasive mechanical ventilation, use of vasopressors or in-hospital mortality. In total 326 consecutive patients were included in the analysis (mean age 66.7 ± 15.3 years, 52.1% male) of whom 85 (26.1%) experienced clinical deterioration. In the multivariable regression analysis prior myocardial infarction (OR = 2.81, 95% CI = 1.12–7.04, p = 0.027), immunodeficiency (OR = 2.08, 95% CI = 1.02–4.25, p = 0.043), C-reactive protein (OR = 1.73, 95% CI = 1.32–2.33, p < 0.001) and AI-based COVID-19 severity score (OR = 1.08; 95% CI = 1.02–1.15, p = 0.013) appeared to be independent predictors of clinical deterioration. Personalized probability values were determined. AI-based COVID-19 severity score assessed at hospital admission can provide additional information about the prognosis of COVID-19, possibly serving as a useful tool for individualized risk-stratification.
Published: 2021
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47. Impact of COVID-19 Pandemic on Cardiovascular Testing in Asia

Author: Takashi Kudo, MD, PhD, Ryan Lahey, MD, PhD, Cole B. Hirschfeld, MD, Michelle C. Williams, MBChB, PhD, Bin Lu, MD, PhD, Mirvat Alasnag, MD, Mona Bhatia, MD, Hee-Seung Henry Bom, MD, PhD, Tairkhan Dautov, MD, Reza Fazel, MD, MSc, Ganesan Karthikeyan, MD, Felix Y.J. Keng, MBBS, Ronen Rubinshtein, MD, Nathan Better, MBBS, Rodrigo Julio Cerci, MD, Sharmila Dorbala, MD, MPH, Paolo Raggi, MD, Leslee J. Shaw, PhD, Todd C. Villines, MD, João V. Vitola, MD, PhD, Andrew D. Choi, MD, Eli Malkovskiy, Benjamin Goebel, BS, Yosef A. Cohen, BA, Michael Randazzo, MD, Thomas N.B. Pascual, MD, Yaroslav Pynda, MSc, Maurizio Dondi, MD, PhD, Diana Paez, MD, MEd, Andrew J. Einstein, MD, PhD, Andrew J. Einstein, Diana Paez, Maurizio Dondi, Nathan Better, Rodrigo Cerci, Sharmila Dorbala, Thomas N.B. Pascual, Paolo Raggi, Leslee J. Shaw, Todd C. Villines, Joao V. Vitola, Michelle C. Williams, Yaroslav Pynda, Gerd Hinterleitner, Yao Lu, Olga Morozova, Zhuoran Xu, Cole B. Hirschfeld, Yosef Cohen, Benjamin Goebel, Michael Randazzo, Andrew Choi, Juan Lopez-Mattei, Purvi Parwani, Mohammad Nawaz Nasery, Artan Goda, Ervina Shirka, Rabie Benlabgaa, Salah Bouyoucef, Abdelkader Medjahedi, Qais Nailli, Mariela Agolti, Roberto Nicolas Aguero, Maria del Carmen Alak, Lucia Graciela Alberguina, Guillermo Arroñada, Andrea Astesiano, Alfredo Astesiano, Carolina Bas Norton, Pablo Benteo, Juan Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul Cabrejas, Jorge Cachero, Roxana Campisi, Alejandro Canderoli, Silvia Carames, Patrícia Carrascosa, Ricardo Castro, Oscar Cendoya, Luciano Martin Cognigni, Carlos Collaud, Claudia Cortes, Javier Courtis, Daniel Cragnolino, Mariana Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando Dettori, Alejandro Deviggiano, Laura Dragonetti, Mario Embon, Ruben Emilio Enriquez, Jorge Ensinas, Fernando Faccio, Adolfo Facello, Diego Garofalo, Ricardo Geronazzo, Natalia Gonza, Lucas Gutierrez, Miguel Angel Guzzo, Victor Hasbani, Melina Huerin, Victor Jäger, Julio Manuel Lewkowicz, Maria Nieves A. López De Munaín, Jose Maria Lotti, Alejandra Marquez, Osvaldo Masoli, Osvaldo Horacio Masoli, Edgardo Mastrovito, Matias Mayoraz, Graciela Eva Melado, Anibal Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana Molteni, Marcos Montecinos, Eduardo Noguera, Carlos Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo Pollono, Maria Paula Pujol, Alejandro Radzinschi, Gustavo Raimondi, Marcela Redruello, Marina Rodríguez, Matías Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico Rovaletti, Lucas San Miguel, Lucrecia Solari, Bruno Strada, Sonia Traverso, Sonia Simona Traverzo, Maria del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan Wolcan, Susana Zeffiro, Mari Sakanyan, Scott Beuzeville, Raef Boktor, Patrick Butler, Jennifer Calcott, Loretta Carr, Virgil Chan, Charles Chao, Woon Chong, Mark Dobson, D'Arne Downie, Girish Dwivedi, Barry Elison, Jean Engela, Roslyn Francis, Anand Gaikwad, Ashok Gangasandra Basavaraj, Bruce Goodwin, Robert Greenough, Christian Hamilton-Craig, Victar Hsieh, Subodh Joshi, Karin Lederer, Kenneth Lee, Joseph Lee, John Magnussen, Nghi Mai, Gordon Mander, Fiona Murton, Dee Nandurkar, Johanne Neill, Edward O'Rourke, Patricia O'Sullivan, George Pandos, Kunthi Pathmaraj, Alexander Pitman, Rohan Poulter, Manuja Premaratne, David Prior, Lloyd Ridley, Natalie Rutherford, Hamid Salehi, Connor Saunders, Luke Scarlett, Sujith Seneviratne, Deepa Shetty, Ganesh Shrestha, Jonathan Shulman, Vijay Solanki, Tony Stanton, Murch Stuart, Michael Stubbs, Ian Swainson, Kim Taubman, Andrew Taylor, Paul Thomas, Steven Unger, Anthony Upton, Shankar Vamadevan, William Van Gaal, Johan Verjans, Demetrius Voutnis, Victor Wayne, Peter Wilson, David Wong, Kirby Wong, John Younger, Gudrun Feuchtner, Siroos Mirzaei, Konrad Weiss, Natallia Maroz-Vadalazhskaya, Olivier Gheysens, Filip Homans, Rodrigo Moreno-Reyes, Agnès Pasquet, Veronique Roelants, Caroline M. Van De Heyning, Raúl Araujo Ríos, Valentina Soldat-Stankovic, Sinisa Stankovic, Maria Helena Albernaz Siqueira, Augusto Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana Andrade, Carlos Anselmi, Roberta Araújo, Guilherme Azevedo, Sabbrina Bezerra, Rodrigo Biancardi, Gabriel Blacher Grossman, Simone Brandão, Diego Bromfman Pianta, Lara Carreira, Bruno Castro, Tien Chang, Fernando Cunali, Jr., Roberto Cury, Roberto Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda Erthal, Fabio Fernandes, Juliano Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno Ghini, Luiz Goncalves, Ilan Gottlieb, Marcelo Hadlich, Vinícius Kameoka, Ronaldo Lima, Adna Lima, Rafael Willain Lopes, Ricardo Machado e Silva, Tiago Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio Medeiros, José Claudio Meneghetti, Vania Naue, Danilo Naves, Roberto Nolasco, Cesar Nomura, Joao Bruno Oliveira, Eduardo Paixao, Filipe Penna De Carvalho, Ibraim Pinto, Priscila Possetti, Mayra Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo Rocha, Alfredo Rodrigues, Carlos Rodrigues, Leila Romantini, Adelina Sanches, Sara Santana, Leonardo Sara da Silva, Paulo Schvartzman, Cristina Sebastião Matushita, Tiago Senra, Afonso Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano Siqueira, Paola Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo Spiro, Cláudio Tinoco Mesquita, Jorge Torreao, Rafael Torres, Marly Uellendahl, Guilherme Urpia Monte, Otávia Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto Waltrick, Marcello Zapparoli, Hamid Naseer, Marina Garcheva-Tsacheva, Irena Kostadinova, Youdaline Theng, Gad Abikhzer, Rene Barette, Benjamin Chow, Dominique Dabreo, Matthias Friedrich, Ria Garg, Mohammed Nassoh Hafez, Chris Johnson, Marla Kiess, Jonathon Leipsic, Eugene Leung, Robert Miller, Anastasia Oikonomou, Stephan Probst, Idan Roifman, Gary Small, Vikas Tandon, Adwait Trivedi, James White, Katherine Zukotynski, Jose Canessa, Gabriel Castro Muñoz, Carmen Concha, Pablo Hidalgo, Cesar Lovera, Teresa Massardo, Luis Salazar Vargas, Pedro Abad, Harold Arturo, Sandra Ayala, Luis Benitez, Alberto Cadena, Carlos Caicedo, Antonio Calderón Moncayo, Sharon Gomez, Claudia T. Gutierrez Villamil, Claudia Jaimes, Juan Londoño, Juan Luis Londoño Blair, Luz Pabon, Mauricio Pineda, Juan Carlos Rojas, Diego Ruiz, Manuel Valencia Escobar, Andres Vasquez, Damiana Vergel, Alejandro Zuluaga, Isabel Berrocal Gamboa, Gabriel Castro, Ulises González, Ana Baric, Tonci Batinic, Maja Franceschi, Maja Hrabak Paar, Mladen Jukic, Petar Medakovic, Viktor Persic, Marina Prpic, Ante Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner Menéndez, Amalia Peix, Luis Rochela, Christoforos Panagidis, Ioannis Petrou, Vaclav Engelmann, Milan Kaminek, Vladimír Kincl, Otto Lang, Milan Simanek, Jawdat Abdulla, Morten Bøttcher, Mette Christensen, Lars Christian Gormsen, Philip Hasbak, Søren Hess, Paw Holdgaard, Allan Johansen, Kasper Kyhl, Bjarne Linde Norgaard, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf Steffensen, Anders Thomassen, Bo Zerahn, Alfredo Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen Abougabal, Taghreed Ahmed, Adel Allam, Ahmed Asfour, Mona Hassan, Alia Hassan, Ahmed Ibrahim, Sameh Kaffas, Ahmed Kandeel, Mohamed Mandour Ali, Ahmad Mansy, Hany Maurice, Sherif Nabil, Mahmoud Shaaban, Ana Camila Flores, Anne Poksi, Juhani Knuuti, Velipekka Kokkonen, Martti Larikka, Valtteri Uusitalo, Matthieu Bailly, Samuel Burg, Jean-François Deux, Vincent Habouzit, Fabien Hyafil, Olivier Lairez, Franck Proffit, Hamza Regaieg, Laure Sarda-Mantel, Vania Tacher, Roman P. Schneider, Harold Ayetey, George Angelidis, Aikaterini Archontaki, Sofia Chatziioannou, Ioannis Datseris, Christina Fragkaki, Panagiotis Georgoulias, Sophia Koukouraki, Maria Koutelou, Eleni Kyrozi, Evangelos Repasos, Petros Stavrou, Pipitsa Valsamaki, Carla Gonzalez, Goleat Gutierrez, Alejandro Maldonado, Klara Buga, Ildiko Garai, Pál Maurovich-Horvat, Erzsébet Schmidt, Balint Szilveszter, Edit Várady, Nilesh Banthia, Jinendra Kumar Bhagat, Rishi Bhargava, Vivek Bhat, Mona Bhatia, Partha Choudhury, Vijay Sai Chowdekar, Aparna Irodi, Shashank Jain, Elizabeth Joseph, Sukriti Kumar, Prof Dr Girijanandan Mahapatra, Deepanjan Mitra, Bhagwant Rai Mittal, Ahmad Ozair, Chetan Patel, Tapan Patel, Ravi Patel, Shivani Patel, Sudhir Saxena, Shantanu Sengupta, Santosh Singh, Bhanupriya Singh, Ashwani Sood, Atul Verma, Erwin Affandi, Padma Savenadia Alam, Edison Edison, Gani Gunawan, Habusari Hapkido, Basuki Hidayat, Aulia Huda, Anggoro Praja Mukti, Djoko Prawiro, Erwin Affandi Soeriadi, Hilman Syawaluddin, Amjed Albadr, Majid Assadi, Farshad Emami, Golnaz Houshmand, Majid Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi, Eed Abu Zaid, Svetlana Agranovich, Yoav Arnson, Rachel Bar-Shalom, Alex Frenkel, Galit Knafo, Rachel Lugassi, Israel Shlomo Maor Moalem, Maya Mor, Noam Muskal, Sara Ranser, Aryeh Shalev, Domenico Albano, Pierpaolo Alongi, Gaspare Arnone, Elisa Bagatin, Sergio Baldari, Matteo Bauckneht, Paolo Bertelli, Francesco Bianco, Rachele Bonfiglioli, Roberto Boni, Andrea Bruno, Isabella Bruno, Elena Busnardo, Elena Califaretti, Luca Camoni, Aldo Carnevale, Roberta Casoni, Armando Ugo Cavallo, Giorgio Cavenaghi, Franca Chierichetti, Marcello Chiocchi, Corrado Cittanti, Mauro Colletta, Umberto Conti, Alberto Cossu, Alberto Cuocolo, Marco Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, Veronica Della Tommasina, Rexhep Durmo, Paola Anna Erba, Laura Evangelista, Riccardo Faletti, Evelina Faragasso, Mohsen Farsad, Paola Ferro, Luigia Florimonte, Viviana Frantellizzi, Fabio Massimo Fringuelli, Marco Gatti, Angela Gaudiano, Alessia Gimelli, Raffaele Giubbini, Francesca Giuffrida, Salvatore Ialuna, Riccardo Laudicella, Lucia Leccisotti, Lucia Leva, Riccardo Liga, Carlo Liguori, Giampiero Longo, Margherita Maffione, Maria Elisabetta Mancini, Claudio Marcassa, Elisa Milan, Barbara Nardi, Sara Pacella, Giovanna Pepe, Gianluca Pontone, Sabina Pulizzi, Natale Quartuccio, Lucia Rampin, Fabrizio Ricci, Pierluigi Rossini, Giuseppe Rubini, Vincenzo Russo, Gian Mauro Sacchetti, Gianmario Sambuceti, Massimo Scarano, Roberto Sciagrà, Massimiliano Sperandio, Antonella Stefanelli, Guido Ventroni, Stefania Zoboli, Dainia Baugh, Duane Chambers, Ernest Madu, Felix Nunura, Hiroshi Asano, Chimura Misato Chimura, Shinichiro Fujimoto, Koichiro Fujisue, Tomohisa Fukunaga, Yoshimitsu Fukushima, Kae Fukuyama, Jun Hashimoto, Yasutaka Ichikawa, Nobuo Iguchi, Masamichi Imai, Anri Inaki, Hayato Ishimura, Satoshi Isobe, Toshiaki Kadokami, Takao Kato, Takashi Kudo, Shinichiro Kumita, Hirotaka Maruno, Hiroyuki Mataki, Masao Miyagawa, Ryota Morimoto, Masao Moroi, Shigeki Nagamachi, Kenichi Nakajima, Tomoaki Nakata, Ryo Nakazato, Mamoru Nanasato, Masanao Naya, Takashi Norikane, Yasutoshi Ohta, Satoshi Okayama, Atsutaka Okizaki, Yoichi Otomi, Hideki Otsuka, Masaki Saito, Sakata Yasushi Sakata, Masayoshi Sarai, Daisuke Sato, Shinya Shiraishi, Yoshinobu Suwa, Kentaro Takanami, Kazuya Takehana, Junichi Taki, Nagara Tamaki, Yasuyo Taniguchi, Hiroki Teragawa, Nobuo Tomizawa, Kenichi Tsujita, Kyoko Umeji, Yasushi Wakabayashi, Shinichiro Yamada, Shinya Yamazaki, Tatsuya Yoneyama, Mohammad Rawashdeh, Daultai Batyrkhanov, Tairkhan Dautov, Khalid Makhdomi, Kevin Ombati, Faridah Alkandari, Masoud Garashi, Tchoyoson Lim Coie, Sonexay Rajvong, Artem Kalinin, Marika Kalnina, Mohamad Haidar, Renata Komiagiene, Giedre Kviecinskiene, Mindaugas Mataciunas, Donatas Vajauskas, Christian Picard, Noor Khairiah A. Karim, Luise Reichmuth, Anthony Samuel, Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee, Erick Alexanderson-Rosas, Erika Barragan, Alejandro Becerril González-Montecinos, Manuel Cabada, Daniel Calderon Rodriguez, Isabel Carvajal-Juarez, Violeta Cortés, Filiberto Cortés, Erasmo De La Peña, Manlio Gama-Moreno, Luis González, Nelsy Gonzalez Ramírez, Moisés Jiménez-Santos, Luis Matos, Edgar Monroy, Martha Morelos, Mario Ornelas, Jose Alberto Ortga Ramirez, Andrés Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda Sandoval, Miguel Santaularia Tomas, Lilia M. Sierra-Galan, Silvia Siu, Enrique Vallejo, Mario Valles, Marc Faraggi, Erdenechimeg Sereegotov, Srdja Ilic, Nozha Ben-Rais, Nadia Ismaili Alaoui, Sara Taleb, Khin Pa Pa Myo, Phyo Si Thu, Ram Kumar Ghimire, Bijoy Rajbanshi, Peter Barneveld, Andor Glaudemans, Jesse Habets, Klaas Pieter Koopmans, Jeroen Manders, Stefan Pool, Arthur Scholte, Asbjørn Scholtens, Riemer Slart, Paul Thimister, Erik-Jan Van Asperen, Niels Veltman, Derk Verschure, Nils Wagenaar, John Edmond, Chris Ellis, Kerryanne Johnson, Ross Keenan, Shaw Hua (Anthony) Kueh, Christopher Occleshaw, Alexander Sasse, Andrew To, Niels Van Pelt, Calum Young, Teresa Cuadra, Hector Bladimir Roque Vanegas, Idrissa Adamou Soli, Djibrillou Moussa Issoufou, Tolulope Ayodele, Chibuzo Madu, Yetunde Onimode, Elen Efros-Monsen, Signe Helene Forsdahl, Jenni-Mari Hildre Dimmen, Arve Jørgensen, Isabel Krohn, Pål Løvhaugen, Anders Tjellaug Bråten, Humoud Al Dhuhli, Faiza Al Kindi, Naeema Al-Bulushi, Zabah Jawa, Naima Tag, Muhammad Shehzad Afzal, Shazia Fatima, Muhammad Numair Younis, Musab Riaz, Mohammad Saadullah, Yariela Herrera, Dora Lenturut-Katal, Manuel Castillo Vázquez, José Ortellado, Afroza Akhter, Dianbo Cao, Stephen Cheung, Xu Dai, Lianggeng Gong, Dan Han, Yang Hou, Caiying Li, Tao Li, Dong Li, Sijin Li, Jinkang Liu, Hui Liu, Bin Lu, Ming Yen Ng, Kai Sun, Gongshun Tang, Jian Wang, Ximing Wang, Zhao-Qian Wang, Yining Wang, Yifan Wang, Jiang Wu, Zhifang Wu, Liming Xia, Jiangxi Xiao, Lei Xu, Youyou Yang, Wu Yin, Jianqun Yu, Li Yuan, Tong Zhang, Longjiang Zhang, Yong-Gao Zhang, Xiaoli Zhang, Li Zhu, Ana Alfaro, Paz Abrihan, Asela Barroso, Eric Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry Obaldo, Davidson Pastrana, Christian Michael Pawhay, Alvin Quinon, Jeanelle Margareth Tang, Bettina Tecson, Kristine Joy Uson, Mila Uy, Magdalena Kostkiewicz, Jolanta Kunikowska, Nuno Bettencourt, Guilhermina Cantinho, Antonio Ferreira, Ghulam Syed, Samer Arnous, Said Atyani, Angela Byrne, Tadhg Gleeson, David Kerins, Conor Meehan, David Murphy, Mark Murphy, John Murray, Julie O'Brien, Ji-In Bang, Henry Bom, Sang-Geon Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young Kim, Jaetae Lee, Chang Kyeong Namgung, Young So, Kyoung Sook Won, Venjamin Majstorov, Marija Vavlukis, Barbara Gužic Salobir, Monika Štalc, Theodora Benedek, Imre Benedek, Raluca Mititelu, Claudiu Adrian Stan, Alexey Ansheles, Olga Dariy, Olga Drozdova, Nina Gagarina, Vsevolod Milyevich Gulyaev, Irina Itskovich, Anatoly Karalkin, Alexander Kokov, Ekaterina Migunova, Viktor Pospelov, Daria Ryzhkova, Guzaliya Saifullina, Svetlana Sazonova, Vladimir Sergienko, Irina Shurupova, Tatjana Trifonova, Wladimir Yurievich Ussov, Margarita Vakhromeeva, Nailya Valiullina, Konstantin Zavadovsky, Kirill Zhuravlev, Mirvat Alasnag, Subhani Okarvi, Dragana Sobic Saranovic, Felix Keng, Jia Hao Jason See, Ramkumar Sekar, Min Sen Yew, Andrej Vondrak, Shereen Bejai, George Bennie, Ria Bester, Gerrit Engelbrecht, Osayande Evbuomwan, Harlem Gongxeka, Magritha Jv Vuuren, Mitchell Kaplan, Purbhoo Khushica, Hoosen Lakhi, Lizette Louw, Nico Malan, Katarina Milos, Moshe Modiselle, Stuart More, Mathava Naidoo, Leonie Scholtz, Mboyo Vangu, Santiago Aguadé-Bruix, Isabel Blanco, Antonio Cabrera, Alicia Camarero, Irene Casáns-Tormo, Hug Cuellar-Calabria, Albert Flotats, Maria Eugenia Fuentes Cañamero, María Elia García, Amelia Jimenez-Heffernan, Rubén Leta, Javier Lopez Diaz, Luis Lumbreras, Juan Javier Marquez-Cabeza, Francisco Martin, Anxo Martinez de Alegria, Francisco Medina, Maria Pedrera Canal, Virginia Peiro, Virginia Pubul-Nuñez, Juan Ignacio Rayo Madrid, Cristina Rodríguez Rey, Ricardo Ruano Perez, Joaquín Ruiz, Gertrudis Sabatel Hernández, Ana Sevilla, Nahla Zeidán, Damayanthi Nanayakkara, Chandraguptha Udugama, Magnus Simonsson, Hatem Alkadhi, Ronny Ralf Buechel, Peter Burger, Luca Ceriani, Bart De Boeck, Christoph Gräni, Alix Juillet de Saint Lager Lucas, Christel H. Kamani, Nadine Kawel-Boehm, Robert Manka, John O. Prior, Axel Rominger, Jean-Paul Vallée, Benjapa Khiewvan, Teerapon Premprabha, Tanyaluck Thientunyakit, Ali Sellem, Kemal Metin Kir, Haluk Sayman, Mugisha Julius Sebikali, Zerida Muyinda, Yaroslav Kmetyuk, Pavlo Korol, Olena Mykhalchenko, Volodymyr Pliatsek, Maryna Satyr, Batool Albalooshi, Mohamed Ismail Ahmed Hassan, Jill Anderson, Punit Bedi, Thomas Biggans, Anda Bularga, Russell Bull, Rajesh Burgul, John-Paul Carpenter, Duncan Coles, David Cusack, Aparna Deshpande, John Dougan, Timothy Fairbairn, Alexia Farrugia, Deepa Gopalan, Alistair Gummow, Prasad Guntur Ramkumar, Mark Hamilton, Mark Harbinson, Thomas Hartley, Benjamin Hudson, Nikhil Joshi, Michael Kay, Andrew Kelion, Azhar Khokhar, Jamie Kitt, Ken Lee, Chen Low, Sze Mun Mak, Ntouskou Marousa, Jon Martin, Elisa Mcalindon, Leon Menezes, Gareth Morgan-Hughes, Alastair Moss, Anthony Murray, Edward Nicol, Dilip Patel, Charles Peebles, Francesca Pugliese, Jonathan Carl Luis Rodrigues, Christopher Rofe, Nikant Sabharwal, Rebecca Schofield, Thomas Semple, Naveen Sharma, Peter Strouhal, Deepak Subedi, William Topping, Katharine Tweed, Jonathan Weir-Mccall, Suhny Abbara, Taimur Abbasi, Brian Abbott, Shady Abohashem, Sandra Abramson, Tarek Al-Abboud, Mouaz Al-Mallah, Omar Almousalli, Karthikeyan Ananthasubramaniam, Mohan Ashok Kumar, Jeffrey Askew, Lea Attanasio, Mallory Balmer-Swain, Richard R. Bayer, Adam Bernheim, Sabha Bhatti, Erik Bieging, Ron Blankstein, Stephen Bloom, Sean Blue, David Bluemke, Andressa Borges, Kelley Branch, Paco Bravo, Jessica Brothers, Matthew Budoff, Renée Bullock-Palmer, Angela Burandt, Floyd W. Burke, Kelvin Bush, Candace Candela, Elizabeth Capasso, Joao Cavalcante, Donald Chang, Saurav Chatterjee, Yiannis Chatzizisis, Michael Cheezum, Tiffany Chen, Jennifer Chen, Marcus Chen, James Clarcq, Ayreen Cordero, Matthew Crim, Sorin Danciu, Bruce Decter, Nimish Dhruva, Neil Doherty, Rami Doukky, Anjori Dunbar, William Duvall, Rachael Edwards, Kerry Esquitin, Husam Farah, Emilio Fentanes, Maros Ferencik, Daniel Fisher, Daniel Fitzpatrick, Cameron Foster, Tony Fuisz, Michael Gannon, Lori Gastner, Myron Gerson, Brian Ghoshhajra, Alan Goldberg, Brian Goldner, Jorge Gonzalez, Rosco Gore, Sandra Gracia-López, Fadi Hage, Agha Haider, Sofia Haider, Yasmin Hamirani, Karen Hassen, Mallory Hatfield, Carolyn Hawkins, Katie Hawthorne, Nicholas Heath, Robert Hendel, Phillip Hernandez, Gregory Hill, Stephen Horgan, Jeff Huffman, Lynne Hurwitz, Ami Iskandrian, Rajesh Janardhanan, Christine Jellis, Scott Jerome, Dinesh Kalra, Summanther Kaviratne, Fernando Kay, Faith Kelly, Omar Khalique, Mona Kinkhabwala, George Kinzfogl Iii, Jacqueline Kircher, Rachael Kirkbride, Michael Kontos, Anupama Kottam, Joseph Krepp, Jay Layer, Steven H. Lee, Jeffrey Leppo, John Lesser, Steve Leung, Howard Lewin, Diana Litmanovich, Yiyan Liu, Kathleen Magurany, Jeremy Markowitz, Amanda Marn, Stephen E. Matis, Michael Mckenna, Tony Mcrae, Fernando Mendoza, Michael Merhige, David Min, Chanan Moffitt, Karen Moncher, Warren Moore, Shamil Morayati, Michael Morris, Mahmud Mossa-Basha, Zorana Mrsic, Venkatesh Murthy, Prashant Nagpal, Kyle Napier, Katarina Nelson, Prabhjot Nijjar, Medhat Osman, Edward Passen, Amit Patel, Pravin Patil, Ryan Paul, Lawrence Phillips, Venkateshwar Polsani, Rajaram Poludasu, Brian Pomerantz, Thomas Porter, Ryan Prentice, Amit Pursnani, Mark Rabbat, Suresh Ramamurti, Florence Rich, Hiram Rivera Luna, Austin Robinson, Kim Robles, Cesar Rodríguez, Mark Rorie, John Rumberger, Raymond Russell, Philip Sabra, Diego Sadler, Mary Schemmer, U. Joseph Schoepf, Samir Shah, Nishant Shah, Sujata Shanbhag, Gaurav Sharma, Steven Shayani, Jamshid Shirani, Pushpa Shivaram, Steven Sigman, Mitch Simon, Ahmad Slim, David Smith, Alexandra Smith, Prem Soman, Aditya Sood, Monvadi Barbara Srichai-Parsia, James Streeter, Albert T, Ahmed Tawakol, Dustin Thomas, Randall Thompson, Tara Torbet, Desiree Trinidad, Shawn Ullery, Samuel Unzek, Seth Uretsky, Srikanth Vallurupalli, Vikas Verma, Alfonso Waller, Ellen Wang, Parker Ward, Gaby Weissman, George Wesbey, Kelly White, David Winchester, David Wolinsky, Sandra Yost, Michael Zgaljardic, Omar Alonso, Mario Beretta, Rodolfo Ferrando, Miguel Kapitan, Fernando Mut, Omoa Djuraev, Gulnora Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, and Xuan Canh Nguyen
Subjects: cardiac testing, cardiovascular disease, coronavirus, COVID-19, global health, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: Background: The coronavirus disease-2019 (COVID-19) pandemic significantly affected management of cardiovascular disease around the world. The effect of the pandemic on volume of cardiovascular diagnostic procedures is not known. Objectives: This study sought to evaluate the effects of the early phase of the COVID-19 pandemic on cardiovascular diagnostic procedures and safety practices in Asia. Methods: The International Atomic Energy Agency conducted a worldwide survey to assess changes in cardiovascular procedure volume and safety practices caused by COVID-19. Testing volumes were reported for March 2020 and April 2020 and were compared to those from March 2019. Data from 180 centers across 33 Asian countries were grouped into 4 subregions for comparison. Results: Procedure volumes decreased by 47% from March 2019 to March 2020, showing recovery from March 2020 to April 2020 in Eastern Asia, particularly in China. The majority of centers cancelled outpatient activities and increased time per study. Practice changes included implementing physical distancing and restricting visitors. Although COVID testing was not commonly performed, it was conducted in one-third of facilities in Eastern Asia. The most severe reductions in procedure volumes were observed in lower-income countries, where volumes decreased 81% from March 2019 to April 2020. Conclusions: The COVID-19 pandemic in Asia caused significant reductions in cardiovascular diagnostic procedures, particularly in low-income countries. Further studies on effects of COVID-19 on cardiovascular outcomes and changes in care delivery are warranted.
Published: 2021
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48. Clinician's guide to trustworthy and responsible artificial intelligence in cardiovascular imaging

Author: Liliana Szabo, Zahra Raisi-Estabragh, Ahmed Salih, Celeste McCracken, Esmeralda Ruiz Pujadas, Polyxeni Gkontra, Mate Kiss, Pal Maurovich-Horvath, Hajnalka Vago, Bela Merkely, Aaron M. Lee, Karim Lekadir, and Steffen E. Petersen
Subjects: artificial intelligence, cardiovascular imaging, machine learning (ML), trustworthiness, AI risk, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: A growing number of artificial intelligence (AI)-based systems are being proposed and developed in cardiology, driven by the increasing need to deal with the vast amount of clinical and imaging data with the ultimate aim of advancing patient care, diagnosis and prognostication. However, there is a critical gap between the development and clinical deployment of AI tools. A key consideration for implementing AI tools into real-life clinical practice is their “trustworthiness” by end-users. Namely, we must ensure that AI systems can be trusted and adopted by all parties involved, including clinicians and patients. Here we provide a summary of the concepts involved in developing a “trustworthy AI system.” We describe the main risks of AI applications and potential mitigation techniques for the wider application of these promising techniques in the context of cardiovascular imaging. Finally, we show why trustworthy AI concepts are important governing forces of AI development.
Published: 2022
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49. Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols

Author: Bettina Katalin Budai, Róbert Stollmayer, Aladár Dávid Rónaszéki, Borbála Körmendy, Zita Zsombor, Lõrinc Palotás, Bence Fejér, Attila Szendrõi, Eszter Székely, Pál Maurovich-Horvat, and Pál Novák Kaposi
Subjects: renal cell carcinoma, computed tomography, radiomics analysis, texture analysis, machine learning, artificial intelligence, Medicine (General), R5-920
Abstract: IntroductionThis study aimed to construct a radiomics-based machine learning (ML) model for differentiation between non-clear cell and clear cell renal cell carcinomas (ccRCC) that is robust against institutional imaging protocols and scanners.Materials and methodsPreoperative unenhanced (UN), corticomedullary (CM), and excretory (EX) phase CT scans from 209 patients diagnosed with RCCs were retrospectively collected. After the three-dimensional segmentation, 107 radiomics features (RFs) were extracted from the tumor volumes in each contrast phase. For the ML analysis, the cases were randomly split into training and test sets with a 3:1 ratio. Highly correlated RFs were filtered out based on Pearson’s correlation coefficient (r > 0.95). Intraclass correlation coefficient analysis was used to select RFs with excellent reproducibility (ICC ≥ 0.90). The most predictive RFs were selected by the least absolute shrinkage and selection operator (LASSO). A support vector machine algorithm-based binary classifier (SVC) was constructed to predict tumor types and its performance was evaluated based-on receiver operating characteristic curve (ROC) analysis. The “Kidney Tumor Segmentation 2019” (KiTS19) publicly available dataset was used during external validation of the model. The performance of the SVC was also compared with an expert radiologist’s.ResultsThe training set consisted of 121 ccRCCs and 38 non-ccRCCs, while the independent internal test set contained 40 ccRCCs and 13 non-ccRCCs. For external validation, 50 ccRCCs and 23 non-ccRCCs were identified from the KiTS19 dataset with the available UN, CM, and EX phase CTs. After filtering out the highly correlated and poorly reproducible features, the LASSO algorithm selected 10 CM phase RFs that were then used for model construction. During external validation, the SVC achieved an area under the ROC curve (AUC) value, accuracy, sensitivity, and specificity of 0.83, 0.78, 0.80, and 0.74, respectively. UN and/or EX phase RFs did not further increase the model’s performance. Meanwhile, in the same comparison, the expert radiologist achieved similar performance with an AUC of 0.77, an accuracy of 0.79, a sensitivity of 0.84, and a specificity of 0.69.ConclusionRadiomics analysis of CM phase CT scans combined with ML can achieve comparable performance with an expert radiologist in differentiating ccRCCs from non-ccRCCs.
Published: 2022
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50. Predictors and neurological consequences of periprocedural cerebrovascular events following transcatheter aortic valve implantation with self-expanding valves

Author: Ferenc Imre Suhai, Andrea Varga, Bálint Szilveszter, Milán Nagy-Vecsey, Astrid Apor, Anikó Ilona Nagy, Márton Kolossváry, Júlia Karády, Andrea Bartykowszki, Levente Molnár, Ádám L. Jermendy, Alexisz Panajotu, Pál Maurovich-Horvat, and Béla Merkely
Subjects: cerebral embolism, transcatheter aortic valve implantation, cardiac CT angiography (CTA), stroke, magnetic resonance imaging, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract: AimsTo evaluate the patient- and procedure-related predictors of transcatheter aortic-valve implantation (TAVI)-associated ischemic brain lesions and to assess the effect of silent cerebral ischemic lesions (SCIL) on neurocognitive function.Methods and resultsWe investigated 113 consecutive patients with severe aortic stenosis who underwent brain magnetic resonance imaging (MRI) within a week following TAVI. To assess periprocedural cerebral ischemic lesions, diffusion-weighted MRI was utilized. We used multivariate linear regression to identify the independent predictors of TAVI-related ischemic lesion volume (ILV) and periprocedural stroke. Neurocognitive evaluation was performed before and following TAVI at 6-month and one-year follow-up. Following TAVI, a total of 944 new cerebral ischemic lesions were detected in 104 patients (92%). The median ILV was 257 μl (interquartile range [IQR]:97.1–718.8μl) with a median lesion number of 6/patient [IQR:2–10]. The majority of ischemic lesions were clinically silent (95%), while 5% of the lesions induced a stroke, which was confirmed by MRI. Predilatation (β = 1.13[95%CI:0.32–1.93], p = 0.01) and the number of valve positioning attempts during implantation (β = 0.28[95%CI:0.06–0.50], p = 0.02) increased the log-transformed total ILV. Predilatation (OR = 12.04[95%CI:1.46–99.07], p = 0.02) and alternative access routes (OR = 7.84[95%CI:1.01–61.07], p = 0.02) were associated with stroke after adjustments for comorbidities and periprocedural factors. The presence of SCILs were not associated with a change in neurocognitive function that remained stable during the one-year follow-up.ConclusionWhile periprocedural ischemic lesions are frequent, most of them are clinically silent and might not impact the patients' neurocognitive function. The number of valve positioning attempts, predilatation, and alternative access routes should be taken into consideration during TAVI to reduce the ILV and risk for stroke.
Published: 2022
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