Search

BACKGROUND: Increases in low-density lipoprotein cholesterol (LDL-C) can occur on carbohydrate restricted ketogenic diets. Lean metabolically healthy individuals with a low triglyceride-to-high-density lipoprotein cholesterol ratio appear particularly susceptible, giving rise to the novel lean mass hyper-responder (LMHR) phenotype. OBJECTIVES: The purpose of the study was to assess coronary plaque burden in LMHR and near-LMHR individuals with LDL-C ≥190 mg/dL (ketogenic diet [KETO]) compared to matched controls with lower LDL-C from the Miami Heart (MiHeart) cohort. METHODS: There were 80 KETO individuals with carbohydrate restriction-induced LDL-C ≥190 mg/dL, high-density lipoprotein cholesterol ≥60 mg/dL, and triglyceride levels ≤80 mg/dL, without familial hypercholesterolemia, matched 1:1 with MiHeart subjects for age, gender, race, hyperlipidemia, hypertension, and smoking status. Coronary artery calcium and coronary computed tomography angiography (CCTA) were used to compare coronary plaque between groups and correlate LDL-C to plaque levels. RESULTS: The matched mean age was 55.5 years, with a mean LDL-C of 272 (maximum LDL-C of 591) mg/dl and a mean 4.7-year duration on a KETO. There was no significant difference in coronary plaque burden in the KETO group as compared to MiHeart controls (mean LDL 123 mg/dL): coronary artery calcium score (median 0 [IQR: 0-56]) vs (1 [IQR: 0-49]) (P = 0.520) CCTA total plaque score (0 [IQR: 0-2] vs [IQR: 0-4]) (P = 0.357). There was also no correlation between LDL-C level and CCTA coronary plaque. CONCLUSIONS: Coronary plaque in metabolically healthy individuals with carbohydrate restriction-induced LDL-C ≥190 mg/dL on KETO for a mean of 4.7 years is not greater than a matched cohort with 149 mg/dL lower average LDL-C. There is no association between LDL-C and plaque burden in either cohort. (Diet-induced Elevations in LDL-C and Progression of Atherosclerosis [Keto-CTA]; NCT057333255).

AIMS: The incremental impact of atherosclerosis imaging-quantitative computed tomography (AI-QCT) on diagnostic certainty and downstream patient management is not yet known. The aim of this study was to compare the clinical utility of the routine implementation of AI-QCT versus conventional visual coronary CT angiography (CCTA) interpretation. METHODS AND RESULTS: In this multi-centre cross-over study in 5 expert CCTA sites, 750 consecutive adult patients referred for CCTA were prospectively recruited. Blinded to the AI-QCT analysis, site physicians established patient diagnoses and plans for downstream non-invasive testing, coronary intervention, and medication management based on the conventional site assessment. Next, physicians were asked to repeat their assessments based upon AI-QCT results. The included patients had an age of 63.8 ± 12.2 years; 433 (57.7%) were male. Compared with the conventional site CCTA evaluation, AI-QCT analysis improved physicians confidence two- to five-fold at every step of the care pathway and was associated with change in diagnosis or management in the majority of patients (428; 57.1%; P < 0.001), including for measures such as Coronary Artery Disease-Reporting and Data System (CAD-RADS) (295; 39.3%; P < 0.001) and plaque burden (197; 26.3%; P < 0.001). After AI-QCT including ischaemia assessment, the need for downstream non-invasive and invasive testing was reduced by 37.1% (P < 0.001), compared with the conventional site CCTA evaluation. Incremental to the site CCTA evaluation alone, AI-QCT resulted in statin initiation/increase an aspirin initiation in an additional 28.1% (P < 0.001) and 23.0% (P < 0.001) of patients, respectively. CONCLUSION: The use of AI-QCT improves diagnostic certainty and may result in reduced downstream need for non-invasive testing and increased rates of preventive medical therapy.

Objectives: To explore the feasibility of a one-beat protocol and ultra-low tube voltage of 60 kVp in coronary CT angiography (CCTA). Methods: This prospective study enrolled 107 patients (body mass index ≤ 26 kg/m2) undergoing CCTA examinations. Specifically, the conventional group (n = 52) underwent 100 kVp scanning with 45 ml iodine contrast agent and 4 ml/s injection rate, and the low-dose group (n = 55) underwent 60 kVp scanning with 28 ml iodine contrast agent and 2.5 ml/s injection rate. The CT value, signal-noise-ratio (SNR), contrast-noise-ratio (CNR) and subjective image quality score of two groups in aorta (AO), right coronary artery (RCA), left anterior descending (LAD) and left circumflex (LCX) are analyzed in this study. Three types of radiation doses [i.e., volume CT dose index (CTDIvol), dose length product (DLP), effective dose (ED)] of two groups are also compared. Results: The quantitative results indicated that the low-dose group achieved higher CT values, SNR and CNR results of the AO than the conventional group (P values < 0.001). Both groups had similar CT values, SNR and CNR results in RCA, LAD, and LCX (P values > 0.05). A good agreement is noted with respect to subjective image quality scores in both groups, while the Cohen's kappa value is 0.815 in the low-dose group and 0.825 in the conventional group, respectively. In addition, the radiation dose of the low-dose group is significantly lower than the conventional group in terms of CTDIvol, DLP and ED values, and the contrast dose in the low-dose group is also significantly reduced compared to the conventional group (P values < 0.001). Conclusions: One-beat protocol with an ultra-low tube voltage of 60 kVp could provide improved coronary image quality, reduced radiation dose and reduced iodine contrast dose. [ABSTRACT FROM AUTHOR]

Background/Objectives: Vulnerable coronary plaques are strongly associated with acute coronary events, posing significant therapeutic challenges despite statin therapy. This case report evaluates the impact of Evolocumab, a PCSK-9 inhibitor, on stabilizing high-risk plaques and promoting phenotypic transformation, assessed through coronary CT angiography (CCTA). Methods: A 50-year-old male with chronic coronary syndrome and a history of myocardial infarction underwent a CCTA, revealing a high-risk plaque (approximately 50%) in the proximal LAD. Despite achieving LDL-C targets with statin therapy, the plaque showed vulnerability features. Evolocumab (140 mg subcutaneously every two weeks) was added to therapy, combined with dietary counseling and dual antiplatelet therapy. Results: A follow-up CCTA at 24 months demonstrated significant reductions in plaque volume and positive remodeling, with a transformation from a mixed phenotype to a predominantly calcified plaque. LDL-C levels decreased from 71 mg/dL to 18 mg/dL. The patient remained asymptomatic, with no cardiovascular events reported during the follow-up. Conclusions: This case highlights the role of PCSK-9 inhibitors in stabilizing high-risk plaques, achieving structural changes that promote stability beyond LDL-C reduction. Advanced imaging techniques such as CCTA proved essential for risk stratification and monitoring therapy efficacy. Evolocumab offers a promising adjunctive treatment for high-risk patients unsuitable for elective revascularization, potentially redefining the standard of care for plaque stabilization in this setting. [ABSTRACT FROM AUTHOR]

Objective: This study aims to investigate the protective effects of Cordyceps sinensis against renal injury induced by low-dose contrast medium (CM) in coronary computed tomography angiography (CCTA) imaging, and to evaluate its efficacy using functional magnetic resonance imaging (fMRI). Methods: Twenty Beagle dogs with induced renal insufficiency were enrolled in the study and randomly assigned to one of four groups (n = 5 per group). Group A received Cordyceps sinensis for 1 week prior to undergoing heart rate-dependent personalized CM CCTA scanning; Group B received Cordyceps sinensis for 1 week followed by conventional dose CM CCTA scanning; Group C did not receive Cordyceps sinensis but underwent HR-dependent CM CCTA scanning; and Group D did not receive Cordyceps sinensis but underwent conventional dose CM CCTA scanning. Renal function was assessed using MRI before and after the intervention, with IVIM (Intravoxel Incoherent Motion) and BOLD (Blood Oxygen Level Dependent) imaging of the kidneys. Key parameters, including the pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), and R2*values, were quantified. Laboratory renal function markers were measured multiple times before and after the intervention, and their correlation with fMRI parameters was analyzed. Results: CCTA imaging revealed that the CT values of the major coronary artery branches in all groups met the international diagnostic criteria for coronary arteries. No statistically significant differences in image quality were observed among the four groups (P > 0.05). In Groups A and D, significant changes were observed in renal function parameters, as well as in D, D*, f, and R2* values, both pre- and post-CCTA (P < 0.05). However, Groups B and C exhibited no significant changes pre- and post-CCTA (P > 0.05). A significant correlation was found between MRI parameters and laboratory renal function markers, with excellent inter- and intra-observer reproducibility, and high repeatability in the measurements. Conclusion: HR-dependent personalized CM CCTA imaging did not compromise image quality. Administration of Cordyceps sinensis demonstrated a potential protective effect on renal function. The combination of IVIM and BOLD functional MRI offers a reliable, non-invasive approach to assess the protective effects of Cordyceps sinensis on renal injury induced by low-dose CCTA in Beagle dogs. [ABSTRACT FROM AUTHOR]

Background: Features of pericoronary adipose tissue (PCAT) from coronary computed tomography angiography (CCTA) are associated with inflammation and cardiovascular risk. As PCAT is vascularly connected with coronary vasculature, the presence of iodine is a potential confounding factor on PCAT HU and textures that has not been adequately investigated. We aim to use dynamic cardiac CT perfusion (CCTP) to understand the perfusion of PCAT and determine its effects on PCAT assessment. Methods: From CCTP, we analyzed HU dynamics of territory-specific PCAT, the myocardium, and other adipose depots in patients with coronary artery disease. HU, blood flow, and radiomics were assessed over time. Changes from peak aorta time, Pa, chosen to model the acquisition time of CCTA, were obtained. Results: HU in PCAT increased more than in other adipose depots. Blood flow in PCAT was ~23% of that in the contiguous myocardium. A two-second offset [before, after] Pa resulted in [4 ± 1.1 HU, 3 ± 1.5 HU] differences in PCAT, giving a 7 HU swing. Due to changes in HU, the apparent PCAT volume reduced by ~15% from the first scan (P1) to Pa using a conventional fat window. Comparing radiomic features over time, 78% of features changed >10% relative to P1. Distal and proximal to a significant stenosis, we found less enhancement and longer time-to-peak distally in PCAT. Conclusions: CCTP elucidates blood flow in PCAT and enables the analysis of PCAT features over time. PCAT assessments (HU, apparent volume, and radiomics) are sensitive to acquisition timing and obstructive stenosis, which may confound the interpretation of PCAT in CCTA images. Data normalization may be in order. [ABSTRACT FROM AUTHOR]

In our case report, we describe an incidental finding of a congenital malformation of a coronary artery in a patient with acute coronary syndrome and we would like to present the importance of these findings. Coronary anomalies in an otherwise structurally normal heart are rare entities, yet their knowledge is necessary even for practicing cardiologists, especially those performing coronary interventions. In the single coronary artery cases – as the name suggests – the entire coronary artery system originates from a single common trunk. One of the more common variations occurs when the main trunk originates from the left Valsalva sinus and the right coronary artery originates from the proximal or medial section of the left anterior descending artery. In such anatomical conditions, choosing the planned interventional strategy is of great importance as a potentially larger myocardial area may be at risk during an acute coronary syndrome or in the event of an interventional complication.

Background/objectives: Acute coronary syndrome (ACS) is a major global health issue primarily caused by the rupture or erosion of vulnerable coronary plaques. Non-invasive identification of these plaques through coronary computed tomography angiography (CCTA) can be improved with radiomics, which extracts and analyses quantitative features from medical images. This systematic review aims to comprehensively evaluate the literature surrounding the role of radiomics in assessing coronary plaques via CCTA. Methods: A systematic search of Medline, EMBASE, and Web of Science was conducted up to July 2024. Nine studies met the inclusion criteria, and their methodological quality was assessed using the radiomic quality score (RQS) and the QUADAS-2 tool. Results: All studies that evaluated radiomic models for plaque vulnerability reported area under the curve (AUC) values exceeding 0.7, indicating at least modest diagnostic performance. In the four studies that made direct comparisons, radiomic models consistently outperformed conventional CCTA markers. However, RQS scores ranged from 2.7% to 41.7%, reflecting variability in study quality and underscoring the need for more robust validation. Conclusions: Radiomics has the potential to enhance CCTA-based identification of vulnerable coronary plaques, offering a promising non-invasive approach to predicting major adverse cardiovascular events. However, the current body of research is limited by the lack of external validation, reliance on small, single-centre retrospective studies, and methodological inconsistencies, which impact the generalisability and reproducibility of findings. Future research should prioritise prospective, multi-centre studies with standardised protocols and rigorous validation frameworks to effectively incorporate radiomics into clinical practice.

Abstract Background The occurrence of suspended cords of the left atrium (SCLA) is rare and has seldom been described. The purpose of this study was to summarize the cases of SCLA accidentally detected by coronary CT angiography (CCTA), describe their imaging features, conduct a preliminary analysis of their clinical significance, and review relevant literature. Methods A total of 10,796 patients who underwent CCTA examinations from July 2020 to November 2021 were consecutively selected. The original and three-dimensional reconstruction images were reviewed to identify patients with SCLA. A control group was selected in a 1:2 ratio based on age, BMI, sex, and education level. The imaging characteristics and clinical data of the two groups were collected and compared. The case group was divided into two subgroups based on the starting and ending positions of the SCLA: Group 1 with the SCLA between the free wall and free wall, and Group 2 with the SCLA between the septum wall and free wall. The clinical features of these subgroups were compared. Furthermore, a review of literature on SCLA published in the past fifteen years that includes its clinical and imaging features was conducted. Results In this study, a total of 35 patients were found to have SCLA, resulting in an incidence rate of approximately 0.32%. After excluding 1 patient for whom clinical features could not be obtained, the case group included a total of 18 males and 16 females, with a male-to-female ratio of 1:1 and a median age of 57.00 (52.00–64.00) years. It was found that 19 (55.88%) cases of SCLA were located near the right superior pulmonary vein ostia, while no SCLA was found near the left lower pulmonary vein orifice. A significant difference in the incidence of atrial arrhythmia between the two groups was observed (p = 0.009). Additionally, 3 patients (8.82%) in the SCLA group had a history of transient cerebral ischemic attack (TIA), which was significantly different from that in the control group (p = 0.035). The anteroposterior and transverse diameters of the left atrium were longer in the case group than in the control group (p

The longitudinal relation between coronary artery disease (CAD) polygenic risk score (PRS) and long-term plaque progression and high-risk plaque (HRP) features is unknown. The goal of this study was to investigate the impact of CAD PRS on long-term coronary plaque progression and HRP. Patients underwent CAD PRS measurement and prospective serial coronary computed tomography angiography (CTA) imaging. Coronary CTA scans were analyzed with a previously validated artificial intelligence–based algorithm (atherosclerosis imaging–quantitative computed tomography imaging). The relationship between CAD PRS and change in percent atheroma volume (PAV), percent noncalcified plaque progression, and HRP prevalence was investigated in linear mixed-effect models adjusted for baseline plaque volume and conventional risk factors. A total of 288 subjects (mean age 58 ± 7 years; 60% male) were included in this study with a median scan interval of 10.2 years. At baseline, patients with a high CAD PRS had a more than 5-fold higher PAV than those with a low CAD PRS (10.4% vs 1.9%; P < 0.001). Per 10 years of follow-up, a 1 SD increase in CAD PRS was associated with a 0.69% increase in PAV progression in the multivariable adjusted model. CAD PRS provided additional discriminatory benefit for above-median noncalcified plaque progression during follow-up when added to a model with conventional risk factors (AUC: 0.73 vs 0.69; P = 0.039). Patients with high CAD PRS had an OR of 2.85 (95% CI: 1.14-7.14; P = 0.026) and 6.16 (95% CI: 2.55-14.91; P < 0.001) for having HRP at baseline and follow-up compared with those with low CAD PRS. Polygenic risk is strongly associated with future long-term plaque progression and HRP in patients suspected of having CAD. [Display omitted] [ABSTRACT FROM AUTHOR]

Background/objectives: Acute coronary syndrome (ACS) is a major global health issue primarily caused by the rupture or erosion of vulnerable coronary plaques. Non-invasive identification of these plaques through coronary computed tomography angiography (CCTA) can be improved with radiomics, which extracts and analyses quantitative features from medical images. This systematic review aims to comprehensively evaluate the literature surrounding the role of radiomics in assessing coronary plaques via CCTA. Methods: A systematic search of Medline, EMBASE, and Web of Science was conducted up to July 2024. Nine studies met the inclusion criteria, and their methodological quality was assessed using the radiomic quality score (RQS) and the QUADAS-2 tool. Results: All studies that evaluated radiomic models for plaque vulnerability reported area under the curve (AUC) values exceeding 0.7, indicating at least modest diagnostic performance. In the four studies that made direct comparisons, radiomic models consistently outperformed conventional CCTA markers. However, RQS scores ranged from 2.7% to 41.7%, reflecting variability in study quality and underscoring the need for more robust validation. Conclusions: Radiomics has the potential to enhance CCTA-based identification of vulnerable coronary plaques, offering a promising non-invasive approach to predicting major adverse cardiovascular events. However, the current body of research is limited by the lack of external validation, reliance on small, single-centre retrospective studies, and methodological inconsistencies, which impact the generalisability and reproducibility of findings. Future research should prioritise prospective, multi-centre studies with standardised protocols and rigorous validation frameworks to effectively incorporate radiomics into clinical practice. [ABSTRACT FROM AUTHOR]

Purpose of Review: Despite growing evidence supporting the diagnostic utility of coronary computed tomographic angiography (CCTA) for anatomical assessment of coronary artery disease (CAD), its is underutilized in peri-procedural planning especially in the acute setting. Recent Findings: Incorporation of flow reserve measurement techniques into CCTA has expanded its sensitivity and specificity for obstructive disease, and continued improvement in CCTA technology permits more accurate cross-sectional plaque characterization. Summary: CCTA has the potential to constitute the mainstay of pre-procedural planning for patients with CAD, who are being considered for percutaneous coronary intervention , reducing their ad hoc nature while facilitating equipment selection and improving catheterization lab safety and throughput. Future studies are needed to compare the cost and benefits of more frequent use of routine pre-procedural CCTA prior to coronary angiography and intervention. [ABSTRACT FROM AUTHOR]

Background: Coronary tortuosity (CorT) is frequently observed in invasive angiography, though its aetiology and clinical significance remain ambiguous. Prior research has indicated possible links between CorT and factors such as hypertension, age, and calcium scores in the left anterior descending (LAD) artery. The aim of this study was to examine and optimize the usage of coronary computed tomography angiography (CCTA) with vessel tracking to explore these associations. Methods: Observational sub‐study of the single centre randomised controlled CATCH‐trial. From the original study 600 participants, who underwent CCTA, 250 were randomly selected. Clinical data and patient risk factors were sourced from medical records and structured interviews. Tortuosity of the LAD was quantified by calculating the ratio of the actual vessel‐length to the straight‐line distance. Results: The final study population comprised 194 patients (56 patients were excluded due to poor image quality or inability to perform adequate vessel tracking). After adjusting for confounding variables, tortuosity was significantly associated with hypertension (p < 0.001), female gender (p = 0.01), and increasing age (p = 0.045). No significant correlation was observed between CorT and calcium scores. Univariate analysis indicated that higher CorT levels were linked to lower metabolic equivalents of task (METs) in bicycle tests (p = 0.003); however, this relationship became nonsignificant (p = 0.97) upon adjustment for age, gender, and hypertension. Conclusions: Our findings suggest that increased CorT is most prevalent in patients with hypertension, advancing age, and female gender. Although higher tortuosity levels did not significantly impact METs during physical activity, further research is warranted to explore the underlying mechanisms of this relationship. [ABSTRACT FROM AUTHOR]

Coronary CT angiography (CCTA) offers an efficient and reliable tool for the non-invasive assessment of suspected coronary artery disease through the analysis of coronary artery plaque and stenosis. However, the detailed manual analysis of CCTA is a burdensome task requiring highly skilled experts. Recent advances in artificial intelligence (AI) have made significant progress toward a more comprehensive automated analysis of CCTA images, offering potential improvements in terms of speed, performance and scalability. This work offers an overview of the recent developments of AI in CCTA. We cover methodological advances for coronary artery tree and whole heart analysis, and provide an overview of AI techniques that have shown to be valuable for the analysis of cardiac anatomy and pathology in CCTA. Finally, we provide a general discussion regarding current challenges and limitations, and discuss prospects for future research. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Sichuan University (Medical Science Edition) is the property of Editorial Board of Journal of Sichuan University (Medical Sciences) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: The occurrence of suspended cords of the left atrium (SCLA) is rare and has seldom been described. The purpose of this study was to summarize the cases of SCLA accidentally detected by coronary CT angiography (CCTA), describe their imaging features, conduct a preliminary analysis of their clinical significance, and review relevant literature. Methods: A total of 10,796 patients who underwent CCTA examinations from July 2020 to November 2021 were consecutively selected. The original and three-dimensional reconstruction images were reviewed to identify patients with SCLA. A control group was selected in a 1:2 ratio based on age, BMI, sex, and education level. The imaging characteristics and clinical data of the two groups were collected and compared. The case group was divided into two subgroups based on the starting and ending positions of the SCLA: Group 1 with the SCLA between the free wall and free wall, and Group 2 with the SCLA between the septum wall and free wall. The clinical features of these subgroups were compared. Furthermore, a review of literature on SCLA published in the past fifteen years that includes its clinical and imaging features was conducted. Results: In this study, a total of 35 patients were found to have SCLA, resulting in an incidence rate of approximately 0.32%. After excluding 1 patient for whom clinical features could not be obtained, the case group included a total of 18 males and 16 females, with a male-to-female ratio of 1:1 and a median age of 57.00 (52.00–64.00) years. It was found that 19 (55.88%) cases of SCLA were located near the right superior pulmonary vein ostia, while no SCLA was found near the left lower pulmonary vein orifice. A significant difference in the incidence of atrial arrhythmia between the two groups was observed (p = 0.009). Additionally, 3 patients (8.82%) in the SCLA group had a history of transient cerebral ischemic attack (TIA), which was significantly different from that in the control group (p = 0.035). The anteroposterior and transverse diameters of the left atrium were longer in the case group than in the control group (p < 0.05), but there was no significant change in left atrial volume. Subgroup analyses found no significant difference in the incidence of cerebral infarction, atrial arrhythmia, or other intracardiac structural malformations, although there was a significant difference in cord length (p = 0.013), with the length of SCLA in Group 1 and Group 2 being 2.64 ± 0.99 cm and 3.39 ± 0.68 cm, respectively. Notably, only 1 of these 34 patients was diagnosed based on echocardiography, whereas all cases were perfectly visualized using CCTA. Conclusion: SCLA is rare. CCTA can accurately detect and depict this abnormal structure as compared to echocardiography. SCLA may be linked to a higher incidence of atrial arrhythmias or transient ischemic attacks. It is important for radiologists and cardiovascular experts to recognize this structure, and further investigation is necessary to determine its clinical significance. [ABSTRACT FROM AUTHOR]

Background: Graft occlusions are commonly present in symptomatic patients after coronary artery bypass surgery (CABG). The aim of this study was to evaluate the diagnostic accuracy of coronary computed tomography angiography (CCTA) and stress single photon emission computed tomographic (SPECT) myocardial perfusion imaging (MPI) for detecting graft disease in symptomatic post-CABG patients. Methods: This was a prospective, single centre study of 100 symptomatic post-CABG patients with native coronary artery/graft occlusions on invasive angiography (CAG). Grafts were evaluated for degree of stenosis qualitatively on CCTA. Reversible perfusion defects were graded using summed difference score (SDS) on MPI. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of CCTA and MPI were evaluated against CAG. Results: CCTA identified 17/31 (55%), 30/43 (70%) and 18/19 (95%) patients with ≥50% stenosis of arterial, venous and both grafts respectively with specificity and PPV of 100%. Reversible perfusion defects were present in 81% of the patients with a mean SDS score of 5.4 ± 3.39 and sensitivity of 84%. Accuracy of CCTA and MPI for detection of graft occlusions were 99% and 84% respectively. 63/65 (97%) patients with ≥50% stenosis of grafts had ≥ 5 SDS score (moderate to severe grade ischemia) and 64% patients were revascularized. Conclusion: CCTA has a comparable diagnostic accuracy to CAG and can be used as an initial investigation in symptomatic post-CABG patients. Reversible perfusion defects on stress MPI help to risk stratify symptomatic post-CABG patients and guide further treatment. Hemodynamically significant occlusions may benefit from revascularization. [ABSTRACT FROM AUTHOR]

In recent years, a new technique called computed tomography-derived fractional flow reserve (CT-FFR) has been developed. CT-FFR overcomes many limitations in the current gold-standard fractional flow reserve (FFR) techniques while maintaining a better concordance with FFR. This technique integrates static coronary CT angiography data with hydrodynamic models, employing algorithms rather than guidewire interventions to compute the FFR. In addition to diagnosing coronary heart disease, CT-FFR has been applied in the preoperative risk assessment of major adverse cardiovascular events (MACEs) in organ transplantation and transcatheter aortic valve replacement (TAVR). Continuous advancements in CT-FFR techniques and algorithms are expanding their applicability to other methodologies. Subsequently, with robust clinical trial validation, CT-FFR can potentially supersede FFR as the primary “gatekeeper” for interventions. [ABSTRACT FROM AUTHOR]

Aims Cardiac cycle morphological changes can accelerate plaque growth proximal to myocardial bridging (MB) in the left anterior descending artery (LAD). To assess coronary computed tomography angiography (CCTA)-based vascular radiomics for predicting proximal plaque development in LAD MB. Methods and results Patients with repeated CCTA scans showing LAD MB without proximal plaque in index CCTA were included from Jinling Hospital as a development set. They were divided into training and internal testing in an 8:2 ratio. Patients from four other tertiary hospitals were set as external validation set. The endpoint was proximal plaque development of LAD MB in follow-up CCTA. Four vascular radiomics models were built: MB centreline (MB CL), proximal MB CL (pMB CL), MB cross-section (MB CS), and proximal MB CS (pMB CS), whose performances were evaluated using area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), and net reclassification improvement (NRI). In total, 295 patients were included in the development (n = 192; median age, 54 ± 11 years; 137 men) and external validation sets (n = 103; median age, 57 ± 9 years; 57 men). The pMB CS vascular radiomics model exhibited higher AUCs in training, internal test, and external sets (AUC = 0.78, 0.75, 0.75) than the clinical and anatomical model (all P < 0.05). Integration of the pMB CS vascular radiomics model significantly raised the AUC of the clinical and anatomical model from 0.56 to 0.75 (P = 0.002), along with enhanced NRI [0.76 (0.37–1.14), P < 0.001] and IDI [0.17 (0.07–0.26), P < 0.001] in the external validation set. Conclusion The CCTA-based pMB CS vascular radiomics model can predict plaque development in LAD MB. [ABSTRACT FROM AUTHOR]

This study aimed to evaluate the impact of acute intravenous beta-blocker administration on myocardial blood flow (MBF) during same-day hybrid coronary computed tomography angiography (CCTA) and 13N-ammonia positron emission tomography (PET) myocardial perfusion imaging (MPI). Previous research on the discontinuation of oral beta-blockers before MPI has shown mixed results, with no studies yet exploring the acute intravenous administration in the context of same-day hybrid imaging. This retrospective study included patients with suspected chronic coronary syndromes undergoing same-day hybrid CCTA/13N-ammonia PET MPI. Exclusion criteria comprised coronary artery stenosis ≥ 50% or regional perfusion abnormalities on PET, and baseline oral beta-blocker medication. Intravenous metoprolol (up to 30 mg) was administered as needed for heart rate control before CCTA. MBF measurements were obtained at rest (rMBF) and during stress (sMBF), and myocardial flow reserve (MFR) was calculated. After excluding 281 patients, 154 were eligible for propensity-score matching, resulting in 108 patients divided into two equal groups based on beta-blocker administration. The groups showed no significant differences in baseline characteristics. Among those who received beta-blockers, there was a significant decrease in sMBF (2.21 [IQR 1.72–2.78] versus 2.46 [2.08–2.99] ml∙min−1∙g−1, p = 0.027) and MFR (3.46 [2.70–4.05] versus 3.79 [3.22–4.46], p = 0.030), respectively, compared to those who did not receive beta-blockers. In contrast, rMBF remained unaffected (0.65 [0.54–0.78] versus 0.64 [0.55–0.76] ml∙min−1∙g−1, p = 0.931). Acute intravenous beta-blocker administration significantly impacts MBF, leading to a slight reduction in sMBF and MFR. In contrast, rMBF appears unaffected, suggesting that beta-blockers primarily affect the coronary capacity to respond to vasodilators. [ABSTRACT FROM AUTHOR]

ObjectiveThis study aims to investigate the protective effects of Cordyceps sinensis against renal injury induced by low-dose contrast medium (CM) in coronary computed tomography angiography (CCTA) imaging, and to evaluate its efficacy using functional magnetic resonance imaging (fMRI).MethodsTwenty Beagle dogs with induced renal insufficiency were enrolled in the study and randomly assigned to one of four groups (n = 5 per group). Group A received Cordyceps sinensis for 1 week prior to undergoing heart rate-dependent personalized CM CCTA scanning; Group B received Cordyceps sinensis for 1 week followed by conventional dose CM CCTA scanning; Group C did not receive Cordyceps sinensis but underwent HR-dependent CM CCTA scanning; and Group D did not receive Cordyceps sinensis but underwent conventional dose CM CCTA scanning. Renal function was assessed using MRI before and after the intervention, with IVIM (Intravoxel Incoherent Motion) and BOLD (Blood Oxygen Level Dependent) imaging of the kidneys. Key parameters, including the pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), and R2*values, were quantified. Laboratory renal function markers were measured multiple times before and after the intervention, and their correlation with fMRI parameters was analyzed.ResultsCCTA imaging revealed that the CT values of the major coronary artery branches in all groups met the international diagnostic criteria for coronary arteries. No statistically significant differences in image quality were observed among the four groups (P > 0.05). In Groups A and D, significant changes were observed in renal function parameters, as well as in D, D*, f, and R2* values, both pre- and post-CCTA (P < 0.05). However, Groups B and C exhibited no significant changes pre- and post-CCTA (P > 0.05). A significant correlation was found between MRI parameters and laboratory renal function markers, with excellent inter- and intra-observer reproducibility, and high repeatability in the measurements.ConclusionHR-dependent personalized CM CCTA imaging did not compromise image quality. Administration of Cordyceps sinensis demonstrated a potential protective effect on renal function. The combination of IVIM and BOLD functional MRI offers a reliable, non-invasive approach to assess the protective effects of Cordyceps sinensis on renal injury induced by low-dose CCTA in Beagle dogs.

Abstract Objectives To investigate the feasibility of a deep learning-constrained compressed sensing (DL-CS) method in non-contrast-enhanced modified DIXON (mDIXON) coronary magnetic resonance angiography (MRA) and compare its diagnostic accuracy using coronary CT angiography (CCTA) as a reference standard. Methods Ninety-nine participants were prospectively recruited for this study. Thirty healthy subjects (age range: 20–65 years; 50% female) underwent three non-contrast mDIXON-based coronary MRA sequences including DL-CS, CS, and conventional sequences. The three groups were compared based on the scan time, subjective image quality score, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). The remaining 69 patients suspected of coronary artery disease (CAD) (age range: 39–83 years; 51% female) underwent the DL-CS coronary MRA and its diagnostic performance was compared with that of CCTA. Results The scan time for the DL-CS and CS sequences was notably shorter than that of the conventional sequence (9.6 ± 3.1 min vs 10.0 ± 3.4 min vs 13.0 ± 4.9 min; p

Objective To explore the application value of 80 kV deep learning image reconstruction （DLIR） algorithm in coronary CT angiography （CCTA）. Methods Sixty patients who underwent CCTA were divided into two groups based on the scanning protocols： 100 kV group （Group A， n = 30） and 80 kV group （Group B， n = 30）. In Group A， 60% ASIR-V （A-AV60） and DLIR high-level reconstruction （A-DLIR） was adopted. In Group B， DLIR high-level reconstruction （B-DLIR） was employed. The CT volumetric dose index （CTDIvol） and the dose length product （DLP） were recorded in both groups， and the effective dose （ED） was calculated. Regions of interest （ROI） were placed in the aortic root （AR）， left anterior descending coronary artery （LAD）， left circumflex coronary artery （LCX）， right coronary artery （RCA）， and the same-layer pectoral fat area. The CT values and noise values of each ROI were recorded. Signal-to-noise ratio （SNR） and contrast-to-noise ratio （CNR） were calculated. Subjective evaluation was performed on the original axis， curved planar reconstruction （CPR）， volume rendering （VR）， and maximum intensity projection （MIP） reconstructions after the second-generation freeze technology （Snapshot Freeze 2， SSF-2）， and the images in two groups were subject to subjective image quality evaluation. Results The ED in Group B was reduced by 45.14% compared to that in Group A. The CT values for AR， LAD， LCX， and RCA in the B-DLIR were higher than those in the A-AV60 and A-DLIR groups， and the differences were statistically significant （all P < 0.001）. The noise values for AR， LAD and LCX were similar， whereas statistical significance was observed in RCA between the A-DLIR and B-DLIR groups （P < 0.05）. The noise values in the A-DLIR and B-DLIR groups were smaller than that in the A-AV60 group， and the differences were statistically significant （both P < 0.001）. The SNR and CNR for AR， LAD， LCX and RCA were similar between the A-DLIR and B-DLIR groups， which were higher than those in the A-AV60 group （all P < 0.05）. The average subjective evaluation score of image quality in the B-DLIR group was higher than that in the A-AV60 group （P < 0.05）， whereas lower than that in the A-DLIR group （P < 0.05）. There were no significant differences in clarity， artifact and small branch visibility between the A-DLIR and B-DLIR groups （all P > 0.05）. Conclusions During CCTA， the 80 kV DLIR algorithm contributes to yielding high-quality images， further improves the diagnostic efficiency and reduces the irradiation dose.

Objectives: To investigate the feasibility of a deep learning-constrained compressed sensing (DL-CS) method in non-contrast-enhanced modified DIXON (mDIXON) coronary magnetic resonance angiography (MRA) and compare its diagnostic accuracy using coronary CT angiography (CCTA) as a reference standard. Methods: Ninety-nine participants were prospectively recruited for this study. Thirty healthy subjects (age range: 20–65 years; 50% female) underwent three non-contrast mDIXON-based coronary MRA sequences including DL-CS, CS, and conventional sequences. The three groups were compared based on the scan time, subjective image quality score, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). The remaining 69 patients suspected of coronary artery disease (CAD) (age range: 39–83 years; 51% female) underwent the DL-CS coronary MRA and its diagnostic performance was compared with that of CCTA. Results: The scan time for the DL-CS and CS sequences was notably shorter than that of the conventional sequence (9.6 ± 3.1 min vs 10.0 ± 3.4 min vs 13.0 ± 4.9 min; p < 0.001). The DL-CS sequence obtained the highest image quality score, mean SNR, and CNR compared to CS and conventional methods (all p < 0.001). Compared to CCTA, the accuracy, sensitivity, and specificity of DL-CS mDIXON coronary MRA per patient were 84.1%, 92.0%, and 79.5%; those per vessel were 90.3%, 82.6%, and 92.5%; and those per segment were 98.0%, 85.1%, and 98.0%, respectively. Conclusion: The DL-CS mDIXON coronary MRA provided superior image quality and short scan time for visualizing coronary arteries in healthy individuals and demonstrated high diagnostic value compared to CCTA in CAD patients. Critical relevance statement: DL-CS resulted in improved image quality with an acceptable scan time, and demonstrated excellent diagnostic performance compared to CCTA, which could be an alternative to enhance the workflow of coronary MRA. Key Points: Current coronary MRA techniques are limited by scan time and the need for noise reduction. DL-CS reduced the scan time in coronary MR angiography. Deep learning achieved the highest image quality among the three methods. Deep learning-based coronary MR angiography demonstrated high performance compared to CT angiography. [ABSTRACT FROM AUTHOR]

A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization. This study sought to investigate the additive value of artificial intelligence–enabled quantitative coronary plaque and hemodynamic analysis (AI-QCPHA). Among ACS patients who underwent coronary computed tomography angiography (CTA) from 1 month to 3 years before the ACS event, culprit and nonculprit lesions on coronary CTA were adjudicated based on invasive coronary angiography. The primary endpoint was the predictability of the risk models for ACS culprit lesions. The reference model included the Coronary Artery Disease Reporting and Data System, a standardized classification for stenosis severity, and high-risk plaque, defined as lesions with ≥2 adverse plaque characteristics. The new prediction model was the reference model plus AI-QCPHA features, selected by hierarchical clustering and information gain in the derivation cohort. The model performance was assessed in the validation cohort. Among 351 patients (age: 65.9 ± 11.7 years) with 2,088 nonculprit and 363 culprit lesions, the median interval from coronary CTA to ACS event was 375 days (Q1-Q3: 95-645 days), and 223 patients (63.5%) presented with myocardial infarction. In the derivation cohort (n = 243), the best AI-QCPHA features were fractional flow reserve across the lesion, plaque burden, total plaque volume, low-attenuation plaque volume, and averaged percent total myocardial blood flow. The addition of AI-QCPHA features showed higher predictability than the reference model in the validation cohort (n = 108) (AUC: 0.84 vs 0.78; P < 0.001). The additive value of AI-QCPHA features was consistent across different timepoints from coronary CTA. AI-enabled plaque and hemodynamic quantification enhanced the predictability for ACS culprit lesions over the conventional coronary CTA analysis. (Exploring the Mechanism of Plaque Rupture in Acute Coronary Syndrome Using Coronary Computed Tomography Angiography and Computational Fluid Dynamics II [EMERALD-II]; NCT03591328) [Display omitted] [ABSTRACT FROM AUTHOR]

Copyright of Journal of New Medicine is the property of Sun Yat Sen University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives: This study aimed to assess the impact of super-resolution deep learning reconstruction (SR-DLR) on coronary CT angiography (CCTA) image quality and blooming artifacts from coronary artery stents in comparison to conventional methods, including hybrid iterative reconstruction (HIR) and deep learning-based reconstruction (DLR). Methods: A retrospective analysis included 66 CCTA patients from July to November 2022. Major coronary arteries were evaluated for image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). Stent sharpness was quantified using 10%-90% edge rise slope (ERS) and 10%-90% edge rise distance (ERD). Qualitative analysis employed a 5-point scoring system to assess overall image quality, image noise, vessel wall, and stent structure. Results: SR-DLR demonstrated significantly lower image noise compared to HIR and DLR. SNR and CNR were notably higher in SR-DLR. Stent ERS was significantly improved in SR-DLR, with mean ERD values of 0.70 ± 0.20 mm for SR-DLR, 1.13 ± 0.28 mm for HIR, and 0.85 ± 0.26 mm for DLR. Qualitatively, SR-DLR scored higher in all categories. Conclusions: SR-DLR produces images with lower image noise, leading to improved overall image quality, compared with HIR and DLR. SR-DLR is a valuable image reconstruction algorithm for enhancing the spatial resolution and sharpness of coronary artery stents without being constrained by hardware limitations. Advances in knowledge: The overall image quality was significantly higher in SR-DLR, resulting in sharper coronary artery stents compared to HIR and DLR. [ABSTRACT FROM AUTHOR]

The sudden death of a young or high-level athlete or adolescent during recreational sports is one of the events with the greatest impact on public opinion in modern society. Sudden cardiac death (SCD) is the principal medical cause of death in athletes and can be the first and last clinical presentation of underlying disease. To prevent such episodes, pre-participation screening has been introduced in many countries to guarantee cardiovascular safety during sports and has become a common target among medical sports/governing organizations. Different cardiac conditions may cause SCD, with incidence depending on definition, evaluation methods, and studied populations, and a prevalence and etiology changing according to the age of athletes, with CAD most frequent in master athletes, while coronary anomalies and non-ischemic causes prevalent in young. To detect silent underlying causes early would be of considerable clinical value. This review summarizes the pre-participation screening in athletes, the specialist agonistic suitability visit performed in Italy, the anatomical characteristics of malignant coronary anomalies, and finally, the role of coronary CT angiography in such arena. In particular, the anatomical conditions suggesting potential disqualification from sport, the post-treatment follow-up to reintegrate young athletes, the diagnostic workflow to rule-out CAD in master athletes, and their clinical management are analyzed. [ABSTRACT FROM AUTHOR]

BACKGROUND: Ischemia with nonobstructive coronary arteries (INOCA) is common clinically, particularly among women, but its prevalence among patients with at least moderate ischemia and the relationship between ischemia severity and non-obstructive atherosclerosis severity are unknown. OBJECTIVES: The authors investigated predictors of INOCA in enrolled, nonrandomized participants in ISCHEMIA (International Study of Comparative Health Effectiveness with Medical and Invasive Approaches), sex differences, and the relationship between ischemia and atherosclerosis in patients with INOCA. METHODS: Core laboratories independently reviewed screening noninvasive stress test results (nuclear imaging, echocardiography, magnetic resonance imaging or nonimaging exercise tolerance testing), and coronary computed tomography angiography (CCTA), blinded to results of the screening test. INOCA was defined as all stenoses

Transthoracic echocardiography is the main imaging modality to diagnose left ventricular thrombus (LVT), but its efficacy in certain cases is suboptimal. We report a patient in whom an LVT, initially unidentified by transthoracic echocardiography, was successfully diagnosed with iodine maps derived from dual-source photon-counting detector CT (DS-PCD-CT). The 64-year-old male was admitted to our institution following myocardial infarction. Although TTE failed to detect this small LVT, iodine maps derived from CT angiography (which was conducted to evaluate the coronary artery stenosis) revealed its presence. Iodine maps derived from DS-PCD-CT collecting data with high temporal resolution are beneficial to diagnose LVTs.

Impaired glucose tolerance (IGT), a prediabetic state, is a known risk factor for coronary artery disease (CAD). Low-attenuation plaque (LAP) lesions are associated with a high risk of coronary events. We aimed to evaluate high-risk plaque characteristics in LAP lesions between patients with IGT and normal glucose tolerance (NGT) in patients suspected for stable CAD. Coronary computed tomography angiography (CCTA) identified LAP lesions and assessed plaque volumes, burdens, and high-risk plaque features. Glycemic tolerance was stratified using oral glucose tolerance tests. Among 148 patients, 202 LAP lesions were identified, with 93 patients classified as NGT and 55 as IGT. Patients with IGT had a significantly higher prevalence of LAP lesions compared with NGT (p = 0.007). LAP volume was higher in IGT (16.46 ± 12.52 mm3) compared with NGT (12.66 ± 9.72 mm3, p = 0.01), but this association did not persist in multivariate analysis. The LAP burden was greater in IGT (10.79 ± 6.84%) than NGT (8.62 ± 5.93%, p = 0.02), and the napkin-ring sign was more frequent in IGT (12%) versus NGT (5%, p = 0.02); these associations remained significant in multivariate analysis. Patients with IGT had a higher LAP burden and higher frequency of napkin-ring signs. These findings may help explain the common occurrence of prediabetes in patients with acute myocardial infarction.

To investigate the diagnostic value of fractional flow reserve (FFR) of coronary CT angiography (CCTA) in coronary heart disease (CHD) in high altitude environment of plateau. 54 patients who underwent CCTA examination and guidewire measurement of FFR in Qinghai Provincial Cardiovascular and Cerebrovascular Disease Specialized Hospital from January 2022 to May 2023 were selected as the research objects. The data were collected by Flash dual-source spiral CT, CCTA-based FFR (CT-FFR) was simulated calculation by fluid mechanics principle based on CCTA images. FFR as the gold standard, positive predictive value, negative predictive value, sensitivity, accuracy and specificity of CT-FFR in the diagnosis of coronary heart disease and coronary artery lesions were analyzed, the diagnostic efficacy of CT-FFR in coronary heart disease and coronary artery lesions were analyzed by receiver operating characteristic (ROC) curve. The consistency between CT-FFR and FFR were analyzed by Bland-Altman plot. The positive predictive value of CT-FFR in the diagnosis of coronary heart disease was 73.08%, negative predictive value was 89.29%, sensitivity was 86.36%, accuracy was 81.48%, sensitivity was 78.13%. The area under the curve (AUC) of CT-FFR in the diagnosis of coronary heart disease was 0.854, and 95%CI was 0.747~0.962. The positive predictive value of CT-FFR in the diagnosis of coronary artery lesions was 71.05%, negative predictive value was 91.84%, sensitivity was 87.10%, accuracy was 82.76%, sensitivity was 80.36%. The AUC of CT-FFR in the diagnosis of coronary artery lesions was 0.921, and 95%CI was 0.865~0.978. Whether the diagnosis of coronary heart disease or diagnosis of coronary artery lesions, CT-FFR and FFR had good consistency. CT-FFR has high accuracy and sensitivity in the diagnosis of coronary heart disease in high altitude environment, and the detection efficiency is ideal, which has good consistency with FFR. [ABSTRACT FROM AUTHOR]

Aims The incremental impact of atherosclerosis imaging-quantitative computed tomography (AI-QCT) on diagnostic certainty and downstream patient management is not yet known. The aim of this study was to compare the clinical utility of the routine implementation of AI-QCT versus conventional visual coronary CT angiography (CCTA) interpretation. Methods and results In this multi-centre cross-over study in 5 expert CCTA sites, 750 consecutive adult patients referred for CCTA were prospectively recruited. Blinded to the AI-QCT analysis, site physicians established patient diagnoses and plans for downstream non-invasive testing, coronary intervention, and medication management based on the conventional site assessment. Next, physicians were asked to repeat their assessments based upon AI-QCT results. The included patients had an age of 63.8 ± 12.2 years; 433 (57.7%) were male. Compared with the conventional site CCTA evaluation, AI-QCT analysis improved physician's confidence two- to five-fold at every step of the care pathway and was associated with change in diagnosis or management in the majority of patients (428; 57.1%; P < 0.001), including for measures such as Coronary Artery Disease-Reporting and Data System (CAD-RADS) (295; 39.3%; P < 0.001) and plaque burden (197; 26.3%; P < 0.001). After AI-QCT including ischaemia assessment, the need for downstream non-invasive and invasive testing was reduced by 37.1% (P < 0.001), compared with the conventional site CCTA evaluation. Incremental to the site CCTA evaluation alone, AI-QCT resulted in statin initiation/increase an aspirin initiation in an additional 28.1% (P < 0.001) and 23.0% (P < 0.001) of patients, respectively. Conclusion The use of AI-QCT improves diagnostic certainty and may result in reduced downstream need for non-invasive testing and increased rates of preventive medical therapy. [ABSTRACT FROM AUTHOR]

The long-term prognostic implications of CT angiography-derived fractional flow reserve (FFR CT) remains unclear. We aimed to explore the long-term outcomes of FFR CT in the first-in-human study of it. A total of 156 vessels from 102 patients with stable coronary artery disease, who underwent coronary CT angiography (CCTA) and invasive FFR measurement, were followed. The primary endpoint was target vessel failure (TVF), including cardiovascular death, target vessel myocardial infarction, and target vessel revascularization. Outcome analysis with FFR CT was performed on a per-vessel basis using a marginal Cox proportional hazard model. During median 9.9 years of follow-up, TVF occurred in 20 (12.8%) vessels. FFR CT ​≤0.80 discriminated TVF (hazard ratio [HR] 2.61, 95% confidence interval [CI] 1.06, 6.45). Among 94 vessels with deferral of percutaneous coronary intervention (PCI), TVF risk was inversely correlated with FFR CT ​(HR 0.62 per 0.1 increase, 95% CI 0.44, 0.86), with the cumulative incidence of TVF being 2.6%, 15.2%, and 28.6% for vessels with FFR CT ​>0.90, 0.81–0.90, and ≤0.80, respectively (p-for-trend 0.005). Predictive value for clinical outcomes of FFR CT was similar to that of invasive FFR (c-index 0.79 vs 0.71, P ​= ​0.28). The estimated TVF risk was higher in the deferral of PCI group than the PCI group for vessels with FFR CT ≤0.81. FFR CT showed improved long-term risk stratification and displayed a risk continuum similar to invasive FFR. NCT01189331. Table of Contents Summary. [ABSTRACT FROM AUTHOR]

Objective: To assess the accuracy of a virtual stenting tool based on coronary CT angiography (CCTA) and fractional flow reserve (FFR) derived from CCTA (FFRCT Planner) across different levels of image quality. Materials and methods: Prospective, multicenter, single-arm study of patients with chronic coronary syndromes and lesions with FFR ≤ 0.80. All patients underwent CCTA performed with recent-generation scanners. CCTA image quality was adjudicated using the four-point Likert scale at a per-vessel level by an independent committee blinded to the FFRCT Planner. Patient- and technical-related factors that could affect the FFRCT Planner accuracy were evaluated. The FFRCT Planner was applied mirroring percutaneous coronary intervention (PCI) to determine the agreement with invasively measured post-PCI FFR. Results: Overall, 120 patients (123 vessels) were included. Invasive post-PCI FFR was 0.88 ± 0.06 and Planner FFRCT was 0.86 ± 0.06 (mean difference 0.02 FFR units, the lower limit of agreement (LLA) − 0.12, upper limit of agreement (ULA) 0.15). CCTA image quality was assessed as excellent (Likert score 4) in 48.3%, good (Likert score 3) in 45%, and sufficient (Likert score 2) in 6.7% of patients. The FFRCT Planner was accurate across different levels of image quality with a mean difference between FFRCT Planner and invasive post-PCI FFR of 0.02 ± 0.07 in Likert score 4, 0.02 ± 0.07 in Likert score 3 and 0.03 ± 0.08 in Likert score 2, p = 0.695. Nitrate dose ≥ 0.8mg was the only independent factor associated with the accuracy of the FFRCT Planner (95%CI − 0.06 to − 0.001, p = 0.040). Conclusion: The FFRCT Planner was accurate in predicting post-PCI FFR independent of CCTA image quality. Clinical relevance statement: Being accurate in predicting post-PCI FFR across a wide spectrum of CT image quality, the FFRCT Planner could potentially enhance and guide the invasive treatment. Adequate vasodilation during CT acquisition is relevant to improve the accuracy of the FFRCT Planner. Key Points: • The fractional flow reserve derived from coronary CT angiography (FFRCT) Planner is a novel tool able to accurately predict fractional flow reserve after percutaneous coronary intervention. • The accuracy of the FFRCT Planner was confirmed across a wide spectrum of CT image quality. Nitrates dose at CT acquisition was the only independent predictor of its accuracy. • The FFRCT Planner could potentially enhance and guide the invasive treatment. [ABSTRACT FROM AUTHOR]

Objective Coronary artery fistula is the termination of the coronary artery branch in the cardiac chamber or pulmonary vein. In this study, we aimed to evaluate the type, origin, termination, and accompanying anomalies, if any, of coronary artery fistulas in patients who underwent coronary CTA in our clinic. Material and Method Coronary CTA examinations were performed on a 128-slice CT scanner. Images were evaluated using MPR, MIP and 3D VR reconstructions on the workstation. CTA image interpretation was performed independently by two radiologists with 15 and 2 years of experience in coronary CTA. In case of disagreement, a third radiologist was consulted. Results Coronary artery fistulas were found in 8 female and 6 male patients aged between 10 and 71 years, with a mean age of 39.07 years. Of the 15 fistula, 6 were coronacameral fistula, 7 were coronopulmonary fistula, 1 was between the left circumflex artery and the conal branch of the right coronary artery, and 1 was between the pulmonary trunk and the descending aorta. One patient was treated with coil placement in the interventional radiology department, while three cases were treated surgically. The other cases were followed up by the relevant clinics. Conclusion Coronary CT angiography provides three-dimensional images of the origin, course and termination of the fistula and is an important tool in guiding the patient's treatment plan. [ABSTRACT FROM AUTHOR]