Radiomic Cardiac MRI Signatures for Predicting Ventricular Arrhythmias in Patients With Nonischemic Dilated Cardiomyopathy

In this proof-of-concept study, radiomic analysis of LGE images provides additional prognostic value beyond LGE presence in predicting arrhythmia in patients with DCM.

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Institutions

Publication Details

Journal
JACC Advances
Published
2025-03-23
DOI
https://doi.org/10.1016/j.jacadv.2025.101684
Citations
14
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
19.04

Funders

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article

Radiomic Cardiac MRI Signatures for Predicting Ventricular Arrhythmias in Patients With Nonischemic Dilated Cardiomyopathy

Warren J. Manning, Amine Amyar, Reza Nezafat, Jennifer Rodriguez et al.
14 citations
JACC Advances
Cardiac Imaging and Diagnostics
19.04
article

Radiomic Cardiac MRI Signatures for Predicting Ventricular Arrhythmias in Patients With Nonischemic Dilated Cardiomyopathy

Warren J. Manning, Amine Amyar, Reza Nezafat, Jennifer Rodriguez, Deborah Kwon, Alan Kiang, Jakub Sroubek, Daniel B. Kramer, Fahime Ghanbari, Shiro Nakamori, Danah Al-Deiri
article en
14 citations

Abstract

In this proof-of-concept study, radiomic analysis of LGE images provides additional prognostic value beyond LGE presence in predicting arrhythmia in patients with DCM.

JACC AdvancesVol. 4(4)
Beth Israel Deaconess Medical Center (US), Cleveland Clinic (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 1%
Cardiac Imaging and Diagnostics
19.04
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