Entropy as a Novel Measure of Myocardial Tissue Heterogeneity for Prediction of MACE in Patients with Myocarditis

Motivation: Better way to assess myocardial histological changes in patients with myocarditis is desired. Goal(s): Assess the utility of entropy, a novel measure of myocardial heterogeneity, for predicting cardiovascular events in patients with acute myocarditis. Approach: Patients included were diagnosed with acute myocarditis by cardiac MRI or endomyocardial biopsy. Left ventricular entropy, scar entropy, LGE presence, LGE mass and LGE extent were derived. Results: Entropy and scar entropy of patients in MACE group was significantly higher than that of No MACE group. Entropy maintained an independent association with MACE in a multivariable model including clinical presentation, left ventricular ejection fraction, and LGE extent. Impact: LV entropy is a fully reproducible and highly prognostic measure of myocardial heterogeneity. It shows promising ability to predict adverse cardiovascular events in patients with acute myocarditis.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0785
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Entropy as a Novel Measure of Myocardial Tissue Heterogeneity for Prediction of MACE in Patients with Myocarditis

Yining Wang
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Fault Detection and Control Systems
article

Entropy as a Novel Measure of Myocardial Tissue Heterogeneity for Prediction of MACE in Patients with Myocarditis

Yining Wang
article en

Abstract

Motivation: Better way to assess myocardial histological changes in patients with myocarditis is desired. Goal(s): Assess the utility of entropy, a novel measure of myocardial heterogeneity, for predicting cardiovascular events in patients with acute myocarditis. Approach: Patients included were diagnosed with acute myocarditis by cardiac MRI or endomyocardial biopsy. Left ventricular entropy, scar entropy, LGE presence, LGE mass and LGE extent were derived. Results: Entropy and scar entropy of patients in MACE group was significantly higher than that of No MACE group. Entropy maintained an independent association with MACE in a multivariable model including clinical presentation, left ventricular ejection fraction, and LGE extent. Impact: LV entropy is a fully reproducible and highly prognostic measure of myocardial heterogeneity. It shows promising ability to predict adverse cardiovascular events in patients with acute myocarditis.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 69%
Fault Detection and Control Systems
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