1. Cardiac Magnetic Resonance as Risk Stratification Tool in Non-Ischemic Dilated Cardiomyopathy Referred for Implantable Cardioverter Defibrillator Therapy—State of Art and Perspectives.
- Author
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Argentiero, Adriana, Carella, Maria Cristina, Mandunzio, Donato, Greco, Giulia, Mushtaq, Saima, Baggiano, Andrea, Fazzari, Fabio, Fusini, Laura, Muscogiuri, Giuseppe, Basile, Paolo, Siena, Paola, Soldato, Nicolò, Napoli, Gianluigi, Santobuono, Vincenzo Ezio, Forleo, Cinzia, Garrido, Eduard Claver, Di Marco, Andrea, Pontone, Gianluca, and Guaricci, Andrea Igoren
- Subjects
CARDIAC magnetic resonance imaging ,IMPLANTABLE cardioverter-defibrillators ,DILATED cardiomyopathy ,CARDIAC arrest ,VENTRICULAR arrhythmia - Abstract
Non-ischemic dilated cardiomyopathy (DCM) is a disease characterized by left ventricular dilation and systolic dysfunction. Patients with DCM are at higher risk for ventricular arrhythmias and sudden cardiac death (SCD). According to current international guidelines, left ventricular ejection fraction (LVEF) ≤ 35% represents the main indication for prophylactic implantable cardioverter defibrillator (ICD) implantation in patients with DCM. However, LVEF lacks sensitivity and specificity as a risk marker for SCD. It has been seen that the majority of patients with DCM do not actually benefit from the ICD implantation and, on the contrary, that many patients at risk of SCD are not identified as they have preserved or mildly depressed LVEF. Therefore, the use of LVEF as unique decision parameter does not maximize the benefit of ICD therapy. Multiple risk factors used in combination could likely predict SCD risk better than any single risk parameter. Several predictors have been proposed including genetic variants, electric indexes, and volumetric parameters of LV. Cardiac magnetic resonance (CMR) can improve risk stratification thanks to tissue characterization sequences such as LGE sequence, parametric mapping, and feature tracking. This review evaluates the role of CMR as a risk stratification tool in DCM patients referred for ICD. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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