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Abstract #0785

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

Yining Wang1
1Fuwai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China

Synopsis

Keywords: Inflammation, Infiltration, Tissue Characterization

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.

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