Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment

Autor: Marco Penso, Mario Babbaro, Sara Moccia, Marco Guglielmo, Maria Ludovica Carerj, Carlo Maria Giacari, Mattia Chiesa, Riccardo Maragna, Mark G. Rabbat, Andrea Barison, Nicola Martini, Mauro Pepi, Enrico G. Caiani, Gianluca Pontone

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 24, Iss 1, Pp 1-14 (2022)

Abstract Background Segmentation of cardiovascular magnetic resonance (CMR) images is an essential step for evaluating dimensional and functional ventricular parameters as ejection fraction (EF) but may be limited by artifacts, which represent the ma

Externí odkaz: https://doaj.org/article/9ca7c5b138ee4f09907c31f05b846d13

Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease

Autor: Thomas Stuckey, Frederick Meine, Thomas McMinn, Jeremiah P. Depta, Brett Bennett, Thomas McGarry, William Carroll, David Suh, John A. Steuter, Michael Roberts, Horace R. Gillins, Emmanuel Lange, Farhad Fathieh, Timothy Burton, Ali Khosousi, Ian Shadforth, William E. Sanders, Mark G. Rabbat

Publikováno v: Frontiers in Cardiovascular Medicine, Vol 9 (2022)

IntroductionMultiple trials have demonstrated broad performance ranges for tests attempting to detect coronary artery disease. The most common test, SPECT, requires capital-intensive equipment, the use of radionuclides, induction of stress, and time

Externí odkaz: https://doaj.org/article/7fd11bfb73a846698b6ad1a05a2b3ec4

A Comprehensive Assessment of Cardiomyopathies through Cardiovascular Magnetic Resonance: Focus on the Pediatric Population

Autor: Francesca Baessato, Cristina Romeo, Mark G. Rabbat, Gianluca Pontone, Christian Meierhofer

Publikováno v: Diagnostics, Vol 12, Iss 5, p 1022 (2022)

Cardiomyopathies (CMPs) are a heterogeneous group of diseases that involve the myocardium and result in systolic or diastolic impairment of the cardiac muscle, potentially leading to heart failure, malignant arrhythmias, or sudden cardiac death. Occu

Externí odkaz: https://doaj.org/article/6487e92c7bb241189b0f4c5bb4b5d6d3

Coronary Volume to Left Ventricular Mass Ratio in Patients With Hypertension

Autor: Sophie E. van Rosendael, Alexander R. van Rosendael, Jurrien H. Kuneman, Manesh R. Patel, Bjarne Linde Nørgaard, Timothy A. Fairbairn, Koen Nieman, Takashi Akasaka, Daniel S. Berman, Lynne M. Hurwitz Koweek, Gianluca Pontone, Tomohiro Kawasaki, Niels Peter Rønnow Sand, Jesper M. Jensen, Tetsuya Amano, Michael Poon, Kristian A. Øvrehus, Jeroen Sonck, Mark G. Rabbat, Campbell Rogers, Hitoshi Matsuo, Jonathon A. Leipsic, Nina Ajmone Marsan, J. Wouter Jukema, Jeroen J. Bax, Antti Saraste, Juhani Knuuti

Publikováno v: van Rosendael, S E, van Rosendael, A R, Kuneman, J H, Patel, M R, Nørgaard, B L, Fairbairn, T A, Nieman, K, Akasaka, T, Berman, D S, Koweek, L M H, Pontone, G, Kawasaki, T, Sand, N P R, Jensen, J M, Amano, T, Poon, M, Øvrehus, K A, Sonck, J, Rabbat, M G, Rogers, C, Matsuo, H, Leipsic, J A, Marsan, N A, Jukema, J W, Bax, J J, Saraste, A & Knuuti, J 2023, ' Coronary Volume to Left Ventricular Mass Ratio in Patients With Hypertension ', The American Journal of Cardiology, vol. 199, pp. 100-109 . https://doi.org/10.1016/j.amjcard.2023.04.025

The coronary vascular volume to left ventricular mass (V/M) ratio assessed by coronary computed tomography angiography (CCTA) is a promising new parameter to investigate the relation of coronary vasculature to the myocardium supplied. It is hypothesi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a741dad7bb72452ac03ecd5cde53543b
https://pure.au.dk/portal/da/publications/coronary-volume-to-left-ventricular-mass-ratio-in-patients-with-hypertension(26e75f0b-8baa-4fea-a1f4-3c4a436d3d5d).html

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

Autor: Fahime Ghanbari, Thomas Joyce, Valentina Lorenzoni, Andrea I. Guaricci, Anna-Giulia Pavon, Laura Fusini, Daniele Andreini, Mark G. Rabbat, Giovanni Donato Aquaro, Raffaele Abete, Jan Bogaert, Giovanni Camastra, Samuela Carigi, Nazario Carrabba, Grazia Casavecchia, Stefano Censi, Gloria Cicala, Carlo N. De Cecco, Manuel De Lazzari, Gabriella Di Giovine, Mauro Di Roma, Marta Focardi, Nicola Gaibazzi, Annalaura Gismondi, Matteo Gravina, Chiara Lanzillo, Massimo Lombardi, Jordi Lozano-Torres, Ambra Masi, Claudio Moro, Giuseppe Muscogiuri, Alberto Nese, Silvia Pradella, Stefano Sbarbati, U. Joseph Schoepf, Adele Valentini, Gérard Crelier, Pier Giorgio Masci, Gianluca Pontone, Sebastian Kozerke, Juerg Schwitter

Publikováno v: Scientia

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 in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b879ef00d15d4be081a87357e2b8fd8
https://lirias.kuleuven.be/handle/20.500.12942/719835