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1. An optimized multisource acquisition and registration workflow for imaging guided ventricular tachycardia ablation

Author

Parollo, M, primary, Torre, M, additional, Fiorentini, F, additional, Di Cori, A, additional, Segreti, L, additional, Grifoni, G, additional, Notarstefano, P, additional, De Sensi, F, additional, Rossi, A, additional, Lapira, F, additional, Cardelli, L, additional, Santoro, A, additional, Aquaro, G D, additional, Faggioni, L, additional, and Zucchelli, G, additional

Published
2024
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2. Implementation of an epicardial implantable MEMS sensor for continuous and real-time postoperative assessment of left ventricular activity in adult minipigs over a short- and long-term period

Author

Zinno, C., primary, Agnesi, F., additional, D'Alesio, G., additional, Dushpanova, A., additional, Brogi, L., additional, Camboni, D., additional, Bernini, F., additional, Terlizzi, D., additional, Casieri, V., additional, Gabisonia, K., additional, Alibrandi, L., additional, Grigoratos, C., additional, Magomajew, J., additional, Aquaro, G. D., additional, Schmitt, S., additional, Detemple, P., additional, Oddo, C. M., additional, Lionetti, V., additional, and Micera, S., additional

Published
2024
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6. AI Cardiac MRI Scar Analysis Aids Prediction of Major Arrhythmic Events in the Multicenter DERIVATE Registry

Author

Ghanbari, F, Joyce, T, Lorenzoni, V, Guaricci, A, Pavon, A, Fusini, L, Andreini, D, Rabbat, M, Aquaro, G, Abete, R, Bogaert, J, Camastra, G, Carigi, S, Carrabba, N, Casavecchia, G, Censi, S, Cicala, G, De Cecco, C, De Lazzari, M, Di Giovine, G, Di Roma, M, Focardi, M, Gaibazzi, N, Gismondi, A, Gravina, M, Lanzillo, C, Lombardi, M, Lozano-Torres, J, Masi, A, Moro, C, Muscogiuri, G, Nese, A, Pradella, S, Sbarbati, S, Schoepf, U, Valentini, A, Crelier, G, Masci, P, Pontone, G, Kozerke, S, Schwitter, J, Ghanbari F., Joyce T., Lorenzoni V., Guaricci A. I., Pavon A. -G., Fusini L., Andreini D., Rabbat M. G., Aquaro G. D., Abete R., Bogaert J., Camastra G., Carigi S., Carrabba N., Casavecchia G., Censi S., Cicala G., De Cecco C. N., De Lazzari M., Di Giovine G., Di Roma M., Focardi M., Gaibazzi N., Gismondi A., Gravina M., Lanzillo C., Lombardi M., Lozano-Torres J., Masi A., Moro C., Muscogiuri G., Nese A., Pradella S., Sbarbati S., Schoepf U. J., Valentini A., Crelier G., Masci P. G., Pontone G., Kozerke S., Schwitter J., Ghanbari, F, Joyce, T, Lorenzoni, V, Guaricci, A, Pavon, A, Fusini, L, Andreini, D, Rabbat, M, Aquaro, G, Abete, R, Bogaert, J, Camastra, G, Carigi, S, Carrabba, N, Casavecchia, G, Censi, S, Cicala, G, De Cecco, C, De Lazzari, M, Di Giovine, G, Di Roma, M, Focardi, M, Gaibazzi, N, Gismondi, A, Gravina, M, Lanzillo, C, Lombardi, M, Lozano-Torres, J, Masi, A, Moro, C, Muscogiuri, G, Nese, A, Pradella, S, Sbarbati, S, Schoepf, U, Valentini, A, Crelier, G, Masci, P, Pontone, G, Kozerke, S, Schwitter, J, Ghanbari F., Joyce T., Lorenzoni V., Guaricci A. I., Pavon A. -G., Fusini L., Andreini D., Rabbat M. G., Aquaro G. D., Abete R., Bogaert J., Camastra G., Carigi S., Carrabba N., Casavecchia G., Censi S., Cicala G., De Cecco C. N., De Lazzari M., Di Giovine G., Di Roma M., Focardi M., Gaibazzi N., Gismondi A., Gravina M., Lanzillo C., Lombardi M., Lozano-Torres J., Masi A., Moro C., Muscogiuri G., Nese A., Pradella S., Sbarbati S., Schoepf U. J., Valentini A., Crelier G., Masci P. G., Pontone G., Kozerke S., and Schwitter J.

Abstract

Background: Scar burden with late gadolinium enhancement (LGE) cardiac MRI (CMR) predicts arrhythmic events in patients with postinfarction in single-center studies. However, LGE analysis requires experienced human observers, is time consuming, and introduces variability. Purpose: To test whether postinfarct scar with LGE CMR can be quantified fully automatically by machines and to compare the ability of LGE CMR scar analyzed by humans and machines to predict arrhythmic events. Materials and Methods: This study is a retrospective analysis of the multicenter, multivendor CarDiac MagnEtic Resonance for Primary Prevention Implantable CardioVerter DebrillAtor ThErapy (DERIVATE) registry. Patients with chronic heart failure, echocardiographic left ventricular ejection fraction (LVEF) of less than 50%, and LGE CMR were recruited (from January 2015 through December 2020). In the current study, only patients with ischemic cardiomyopathy were included. Quantification of total, dense, and nondense scars was carried out by two experienced readers or a Ternaus network, trained and tested with LGE images of 515 and 246 patients, respectively. Univariable and multivariable Cox analyses were used to assess patient and cardiac characteristics associated with a major adverse cardiac event (MACE). Area under the receiver operating characteristic curve (AUC) was used to compare model performances. Results: In 761 patients (mean age, 65 years ± 11, 671 men), 83 MACEs occurred. With use of the testing group, univariable Cox-analysis found New York Heart Association class, left ventricle volume and/or function parameters (by echocardiography or CMR), guideline criterion (LVEF of ≤35% and New York Heart Association class II or III), and LGE scar analyzed by humans or the machine-learning algorithm as predictors of MACE. Machine-based dense or total scar conferred incremental value over the guideline criterion for the association with MACE (AUC: 0.68 vs 0.63, P = .02 and AUC: 0.67 vs 0.63

Published
2023

7. Cardiovascular Magnetic Resonance in Patients with Cardiac Electronic Devices: Evidence from a Multicenter Study

Author

Barison, A, Ricci, F, Pavon, A, Muscogiuri, G, Bisaccia, G, Camastra, G, De Lazzari, M, Lanzillo, C, Raguso, M, Monti, L, Vargiu, S, Pedrotti, P, Piacenti, M, Todiere, G, Pontone, G, Indolfi, C, Dellegrottaglie, S, Lombardi, M, Schwitter, J, Aquaro, G, Barison A., Ricci F., Pavon A. G., Muscogiuri G., Bisaccia G., Camastra G., De Lazzari M., Lanzillo C., Raguso M., Monti L., Vargiu S., Pedrotti P., Piacenti M., Todiere G., Pontone G., Indolfi C., Dellegrottaglie S., Lombardi M., Schwitter J., Aquaro G. D., Barison, A, Ricci, F, Pavon, A, Muscogiuri, G, Bisaccia, G, Camastra, G, De Lazzari, M, Lanzillo, C, Raguso, M, Monti, L, Vargiu, S, Pedrotti, P, Piacenti, M, Todiere, G, Pontone, G, Indolfi, C, Dellegrottaglie, S, Lombardi, M, Schwitter, J, Aquaro, G, Barison A., Ricci F., Pavon A. G., Muscogiuri G., Bisaccia G., Camastra G., De Lazzari M., Lanzillo C., Raguso M., Monti L., Vargiu S., Pedrotti P., Piacenti M., Todiere G., Pontone G., Indolfi C., Dellegrottaglie S., Lombardi M., Schwitter J., and Aquaro G. D.

Abstract

Background: Most recent cardiac implantable electronic devices (CIEDs) can safely undergo a cardiovascular magnetic resonance (CMR) scan under certain conditions, but metal artifacts may degrade image quality. The aim of this study was to assess the overall diagnostic yield of CMR and the extent of metal artifacts in a multicenter, multivendor study on CIED patients referred for CMR. Methods: We analyzed 309 CMR scans from 292 patients (age 57 ± 16 years, 219 male) with an MR-conditional pacemaker (n = 122), defibrillator (n = 149), or loop recorder (n = 38); CMR scans were performed in 10 centers from 2012 to 2020; MR-unsafe implants were excluded. Clinical and device parameters were recorded before and after the CMR scan. A visual analysis of metal artifacts was performed for each sequence on a segmental basis, based on a 5-point artifact score. Results: The vast majority of CMR scans (n = 255, 83%) were completely performed, while only 32 (10%) were interrupted soon after the first sequences and 22 (7%) were only partly acquired; CMR quality was non-diagnostic in 34 (11%) scans, poor (<1/3 sequences were diagnostic) in 25 (8%), or acceptable (1/3 to 2/3 sequences were diagnostic) in 40 (13%), while most scans (n = 201, 68%) were of overall good quality. No adverse event or device malfunctioning occurred, and only nonsignificant changes in device parameters were recorded. The most affected sequences were SSFP (median score 0.32 [interquartile range 0.07–0.91]), followed by GRE (0.18 [0.02–0.59]) and LGE (0.14 [0.02–0.55]). ICDs induced more artifacts (median score in SSFP images 0.87 [0.50–1.46]) than PMs (0.11 [0.03–0.28]) or ILRs (0.11 [0.00–0.56]). Moreover, most artifacts were located in the anterior, anteroseptal, anterolateral, and apical segments of the LV and in the outflow tract of the RV. Conclusions: CMR is a versatile imaging technique, with a high safety profile and overall good image quality even in patients with MR-conditional CIEDs. Several stra

Published
2023

8. Relationships between plasma cytokine balance and cardiac magnetic resonance imaging in long-term post-COVID follow-up: a cross-sectional preliminary study

Author

Simonini, L, primary, Sbrana, S, additional, Foffa, I, additional, Baroni, M, additional, Catapano, G, additional, Chiappino, D, additional, Grigoratos, C, additional, Marrone, C, additional, Losi, P, additional, Mannucci, F, additional, Salvadori, S, additional, Todiere, G, additional, Valenti, E, additional, Ait-Ali, L, additional, and Aquaro, G D, additional

Published
2022
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9. Acute Myocarditis Associated With Desmosomal Gene Variants

Author

Ammirati, E, Raimondi, F, Piriou, N, Sardo Infirri, L, Mohiddin, S, Mazzanti, A, Shenoy, C, Cavallari, U, Imazio, M, Aquaro, G, Olivotto, I, Pedrotti, P, Sekhri, N, Van de Heyning, C, Broeckx, G, Peretto, G, Guttmann, O, Dellegrottaglie, S, Scatteia, A, Gentile, P, Merlo, M, Goldberg, R, Reyentovich, A, Sciamanna, C, Klaassen, S, Poller, W, Trankle, C, Abbate, A, Keren, A, Horowitz-Cederboim, S, Cadrin-Tourigny, J, Tadros, R, Annoni, G, Bonoldi, E, Toquet, C, Marteau, L, Probst, V, Trochu, J, Kissopoulou, A, Grosu, A, Kukavica, D, Trancuccio, A, Gil, C, Tini, G, Pedrazzini, M, Torchio, M, Sinagra, G, Gimeno, J, Bernasconi, D, Valsecchi, M, Klingel, K, Adler, E, Camici, P, Cooper, L, Ammirati E., Raimondi F., Piriou N., Sardo Infirri L., Mohiddin S. A., Mazzanti A., Shenoy C., Cavallari U. A., Imazio M., Aquaro G. D., Olivotto I., Pedrotti P., Sekhri N., Van de Heyning C. M., Broeckx G., Peretto G., Guttmann O., Dellegrottaglie S., Scatteia A., Gentile P., Merlo M., Goldberg R. I., Reyentovich A., Sciamanna C., Klaassen S., Poller W., Trankle C. R., Abbate A., Keren A., Horowitz-Cederboim S., Cadrin-Tourigny J., Tadros R., Annoni G. A., Bonoldi E., Toquet C., Marteau L., Probst V., Trochu J. N., Kissopoulou A., Grosu A., Kukavica D., Trancuccio A., Gil C., Tini G., Pedrazzini M., Torchio M., Sinagra G., Gimeno J. R., Bernasconi D., Valsecchi M. G., Klingel K., Adler E. D., Camici P. G., Cooper L. T., Ammirati, E, Raimondi, F, Piriou, N, Sardo Infirri, L, Mohiddin, S, Mazzanti, A, Shenoy, C, Cavallari, U, Imazio, M, Aquaro, G, Olivotto, I, Pedrotti, P, Sekhri, N, Van de Heyning, C, Broeckx, G, Peretto, G, Guttmann, O, Dellegrottaglie, S, Scatteia, A, Gentile, P, Merlo, M, Goldberg, R, Reyentovich, A, Sciamanna, C, Klaassen, S, Poller, W, Trankle, C, Abbate, A, Keren, A, Horowitz-Cederboim, S, Cadrin-Tourigny, J, Tadros, R, Annoni, G, Bonoldi, E, Toquet, C, Marteau, L, Probst, V, Trochu, J, Kissopoulou, A, Grosu, A, Kukavica, D, Trancuccio, A, Gil, C, Tini, G, Pedrazzini, M, Torchio, M, Sinagra, G, Gimeno, J, Bernasconi, D, Valsecchi, M, Klingel, K, Adler, E, Camici, P, Cooper, L, Ammirati E., Raimondi F., Piriou N., Sardo Infirri L., Mohiddin S. A., Mazzanti A., Shenoy C., Cavallari U. A., Imazio M., Aquaro G. D., Olivotto I., Pedrotti P., Sekhri N., Van de Heyning C. M., Broeckx G., Peretto G., Guttmann O., Dellegrottaglie S., Scatteia A., Gentile P., Merlo M., Goldberg R. I., Reyentovich A., Sciamanna C., Klaassen S., Poller W., Trankle C. R., Abbate A., Keren A., Horowitz-Cederboim S., Cadrin-Tourigny J., Tadros R., Annoni G. A., Bonoldi E., Toquet C., Marteau L., Probst V., Trochu J. N., Kissopoulou A., Grosu A., Kukavica D., Trancuccio A., Gil C., Tini G., Pedrazzini M., Torchio M., Sinagra G., Gimeno J. R., Bernasconi D., Valsecchi M. G., Klingel K., Adler E. D., Camici P. G., and Cooper L. T.

Abstract

Background: The risk of adverse cardiovascular events in patients with acute myocarditis (AM) and desmosomal gene variants (DGV) remains unknown. Objectives: The purpose of this study was to ascertain the risk of death, ventricular arrhythmias, recurrent myocarditis, and heart failure (main endpoint) in patients with AM and pathogenic or likely pathogenetic DGV. Methods: In a retrospective international study from 23 hospitals, 97 patients were included: 36 with AM and DGV (DGV[+]), 25 with AM and negative gene testing (DGV[−]), and 36 with AM without genetics testing. All patients had troponin elevation plus findings consistent with AM on histology or at cardiac magnetic resonance (CMR). In 86 patients, CMR changes in function and structure were re-assessed at follow-up. Results: In the DGV(+) AM group (88.9% DSP variants), median age was 24 years, 91.7% presented with chest pain, and median left ventricular ejection fraction (LVEF) was 56% on CMR (P = NS vs the other 2 groups). Kaplan-Meier curves demonstrated a higher risk of the main endpoint in DGV(+) AM compared with DGV(−) and without genetics testing patients (62.3% vs 17.5% vs 5.3% at 5 years, respectively; P < 0.0001), driven by myocarditis recurrence and ventricular arrhythmias. At follow-up CMR, a higher number of late gadolinium enhanced segments was found in DGV(+) AM. Conclusions: Patients with AM and evidence of DGV have a higher incidence of adverse cardiovascular events compared with patients with AM without DGV. Further prospective studies are needed to ascertain if genetic testing might improve risk stratification of patients with AM who are considered at low risk.

Published
2022

16. Lung magnetic resonance imaging in systemic sclerosis: a new promising approach to evaluate pulmonary involvement and progression

Author

Gargani, L., Bruni, C., De Marchi, D., Romei, C., Guiducci, S., Bellando-Randone, S., Aquaro, G. D., Pepe, A., Neri, E., Colagrande, S., Falaschi, F., Moggi-Pignone, A., Pingitore, A., Matucci-Cerinic, M., and Gargani, Luna

Subjects
Lung Diseases, medicine.medical_specialty, Interstitial lung disease, Magnetic resonance imaging, Systemic sclerosis, Computed tomography, Appropriate use, Scleroderma, 03 medical and health sciences, 0302 clinical medicine, Rheumatology, Internal medicine, medicine, Humans, 030212 general & internal medicine, Lung, Magnetic Resonance Imaging, Respiratory Function Tests, Lung Diseases, Interstitial, Scleroderma, Systemic, 030203 arthritis & rheumatology, medicine.diagnostic_test, business.industry, Systemic, General Medicine, respiratory system, medicine.disease, Lung involvement, Hyperintensity, respiratory tract diseases, medicine.anatomical_structure, Radiology, Interstitial, business
Abstract

Interstitial lung disease (ILD) is frequent and highly disabling in systemic sclerosis (SSc). Magnetic resonance imaging (MRI) is not routinely used to evaluate the lung, due to poorer spatial resolution compared to high-resolution computed tomography (HRCT). We aimed to compare lung MRI signal with HRCT and evaluate the role of MRI in predicting ILD progression.Thirty SSc patients underwent lung MRI and HRCT. STIR and T1 mapping sequences were acquired before and after gadolinium injection. Patients were classified as normal (group 1 with normal HRCT and MRI), discordant (group 2 without ILD signs on HRCT but areas of hyperintensity on MRI), and abnormal (group 3 with ILD signs on HRCT and areas of hyperintensity on MRI). Patients were followed up for ILD progression.Mean STIR and T1 values were different between the three groups (p 0.0001). STIR values correlated with HRCT score (R = 0.79, p 0.0001), lung ultrasound B-lines (R = 0.73, p 0.0001), and %DLco (R = - 0.63, p = 0.0001). Nine events were recorded during a follow-up of 25 ± 20 months. Continuous STIR values were independently associated with events (HR 1.018; CI 1.005-1.031, p = 0.005). A STIR value90 ms discriminated patients at a higher risk of worsening pulmonary involvement (HR 8.80; CI 1.81-42.74; p 0.007).Lung MRI can detect SSc-related ILD, with good correlations with other ILD markers. STIR values, independently of HRCT appearance, may predict worsening lung involvement. Lung MRI, although very preliminary, is a promising tool that in a near future could help selecting patients for an early treatment of SSc-related ILD and a more appropriate use of HRCT. Key points • Lung MRI has the potential to differentiate inflammation-predominant versus fibrosis-predominant lesions, but it is not currently used in routine clinical practice to assess SSc-related ILD. • Lung MRI STIR and T1 values are significantly different between patients with and without SSc-related ILD. STIR values, independently of HRCT appearance, are also able to predict worsening lung involvement over time. • These preliminary data suggest that, in a near future, MRI could support the choice for an early treatment of SSc-related ILD, as well as a more appropriate use of HRCT.

Published
2020

19. What Is Hidden Behind Inferior Negative T Waves: Multiple Cardiac Glomangiomas

Author

Castiglione, V., Aimo, A., Murzi, B., Pucci, A., Aquaro, G. D., Barison, A., Clemente, A., Spini, V., Benedetti, G., and Emdin, M.

Subjects
PET, positron emission tomography, cardiac tumor, glomus tumor, MR, cardiac magnetic resonance, CT, computed tomography, PET, positron emission tomography, cardiac mass, glomangioma, computed tomography, MR, cardiac magnetic resonance, CT
Published
2019

20. P2728Prognostic impact of left atrial function in patients with cardiac amyloidosis: a cardiac magnetic resonance study

Author

Morini, S, primary, Aquaro, G D, additional, Taborchi, G, additional, Martone, R, additional, Gabriele, M, additional, Bartolini, S, additional, Vignini, E, additional, Vergaro, G, additional, Barison, A, additional, Emdin, M, additional, Olivotto, I, additional, Perfetto, F, additional, Di Mario, C, additional, and Cappelli, F, additional

Published
2019
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23. 324Prognostic role of late gadolinium enhancement in patients with low or intermediate HCM SCD risk score: a multicenter study

Author

Todiere, G, primary, Barison, A, additional, Nugara, C, additional, Negri, F, additional, Gentile, G, additional, Bianco, F, additional, Faletta, C, additional, Novo, G, additional, De Caterina, R, additional, Zachara, E, additional, Re, F, additional, Clemenza, F, additional, Sinagra, G, additional, Emdin, M, additional, and Aquaro, G D, additional

Published
2019
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24. 46Optimal timing for cardiovascular magnetic resonance after ST-segment elevation myocardial infarction for effective risk stratification

Author

Pavon, A G, primary, Pontone, G, additional, Symons, R, additional, Francone, M, additional, Zalewski, J, additional, Barison, A, additional, Aquaro, G D, additional, Muscogiuri, G, additional, Muller, O, additional, Baggiano, A, additional, Andreini, D, additional, Camici, P G, additional, Schwitter, J, additional, Bogaert, J, additional, and Masci, P G, additional

Published
2019
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27. 401Prognostic role of late gadolinium enhancement in patients with low-intermediate 5 year HCM SCD risk score: a multicenter study

Author

Todiere, G, primary, Barison, A, additional, Grigoratos, C, additional, Cosentino, F, additional, Negri, F, additional, Angeramo, F, additional, Novo, G, additional, Falletta, C, additional, Gentile, G, additional, Nugara, C, additional, Emdin, M, additional, Re, F, additional, Zachara, E, additional, Clemenza, F, additional, and Aquaro, G D, additional

Published
2018
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28. 3004Pulmonary blood volume index as a quantitative biomarker of diastolic function in hypertrophic cardiomyopathy

Author

Ricci, F, primary, Aung, N, additional, Boubertakh, R, additional, Camaioni, C, additional, Doimo, S, additional, Fung, K, additional, Khanji, M, additional, Malcomson, J, additional, Mantini, C, additional, Paiva, J, additional, Gallina, S, additional, Fedorowski, A, additional, Mohiddin, S, additional, Aquaro, G D, additional, and Petersen, S E, additional

Published
2018
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30. Prognostic value of pulmonary blood volume by first-pass contrast-enhanced CMR in heart failure outpatients: the PROVE-HF study.

Author

Ricci, F, Barison, A, Todiere, G, Mantini, C, Cotroneo, A R, Emdin, M, Caterina, R De, Galllina, S, and Aquaro, G D

Subjects
CARDIOVASCULAR disease related mortality, HEART failure, LUNG physiology, HEART ventricle diseases, AGE distribution, BIOMARKERS, BLOOD volume, CONFIDENCE intervals, ECHOCARDIOGRAPHY, LEFT heart ventricle, HEMODYNAMICS, HOSPITAL care, IMPLANTABLE cardioverter-defibrillators, INTRAVENOUS therapy, LONGITUDINAL method, MAGNETIC resonance imaging, MULTIVARIATE analysis, PERFUSION, RADIONUCLIDE imaging, REGRESSION analysis, SEX distribution, SURVIVAL, CONTRAST media, PROPORTIONAL hazards models, STROKE volume (Cardiac output), VENTRICULAR arrhythmia, ODDS ratio, DIAGNOSIS, PROGNOSIS
Abstract

Aims Pulmonary blood volume (PBV) is a novel clinical application of cardiovascular magnetic resonance (CMR) imaging for the quantitative grading of haemodynamic congestion. In this study, we aimed to assess the prognostic value of PBV in a cohort of outpatients with chronic heart failure (HF). Methods and results One hundred and twelve consecutive patients (91 men, 67 ± 12 years) and 53 age- and sex-matched healthy controls underwent echocardiography and contrast-enhanced CMR. PBV was calculated as the product of stroke volume and the number of cardiac cycles for an intravenous bolus of gadolinium contrast to pass through the pulmonary circulation determined by first-pass perfusion imaging. Compared with healthy controls, HF outpatients showed significantly higher PBV index (PBVI, 308 ± 92 vs. 373 ± 175, mL/m2, P  = 0.012) and pulmonary transit time (6.8 ± 1.8 vs. 9.5 ± 4 s, P  ≤0.001). During a median follow-up of 26 ± 17 months, 27 patients (24%) reached the composite end point of cardiovascular death, HF hospitalization, or sustained ventricular arrhythmias/appropriate implantable cardioverter-defibrillator intervention. Using a cut-off point of PBVI >492 mL/m2, corresponding to two standard deviations above the mean of healthy controls, event-free survival was significantly lower in patients with higher PBVI (P <  0.001). At multivariable-adjusted Cox regression analysis, PBVI was an independent predictor of the composite cardiovascular end point (per 10% increase hazard ratio 1.31, 95% confidence interval: 1.02–1.69, P =  0.03). Conclusions PBVI is a novel application of perfusion CMR potentially useful to quantitatively determine haemodynamic congestion as a surrogate marker of left ventricular diastolic dysfunction. PBVI might prove to be helpful in stratifying the prognosis of asymptomatic or mildly symptomatic patients with left ventricular dysfunction. [ABSTRACT FROM AUTHOR]

Published
2018
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