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Quantitative Characterization of Myocardial Infarction by Cardiovascular Magnetic Resonance Predicts Future Cardiovascular Events in Patients with Ischemic Cardiomyopathy by Hajime Yokota; Shahriar Heidary; Chandra K Katikireddy; Patricia Nguyen; John M Pauly; Michael V McConnell; Phillip C Yang is a Medicine article available to read on EtoBox.

What is Quantitative Characterization of Myocardial Infarction by Cardiovascular Magnetic Resonance Predicts Future Cardiovascular Events in Patients with Ischemic Cardiomyopathy about?

## Background Cardiovascular magnetic resonance (CMR) can provide quantitative data of the myocardial tissue utilizing high spatial and temporal resolution along with exquisite tissue contrast. Previous studies have correlated myocardial scar tissue with the occurrence of ventricular arrhythmia. This study was conducted to evaluate whether characterization of myocardial infarction by CMR can predict cardiovascular events in patients with ischemic cardiomyopathy (ICM). ## Results We consecutively studied 86 patients with ICM (LVEF < 50%, mean LVEF: 26 ± 12%) with CMR before revascularization or medication therapy ± implantable cardiac defibrillator, determined the amount of myocardial scar, and followed for development of cardiovascular events. Thirty-three patients (38%) had cardiovascular events (mean follow-up: 20 ± 16 months). Patients who developed cardiovascular events had larger scar volume and scar percentage of the myocardium than those who did not develop cardiovascular events (16.8 ± 12.4 cm3 vs. 11.7 ± 12.6 cm3, p = 0.023 and 10.2 ± 6.9% vs. 7.2 ± 6.7%, p = 0.037, respectively). There were no significant differences in LVEDV, LVESV and LVEF between the patients with and

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Author

Hajime Yokota; Shahriar Heidary; Chandra K Katikireddy; Patricia Nguyen; John M Pauly; Michael V McConnell; Phillip C Yang

Publisher

BioMed Central; Springer (Biomed Central Ltd.); New York NY: Marcel Dekker; New York N.Y.: Informa Healthcare; London: 2008-; Informa UK Limited; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1097-6647)

Published

2008

Language

EN

Field

Medicine (Health Sciences)