DEep LearnIng-based QuaNtification of epicardial adipose tissue predicts MACE in patients undergoing stress CMR.
Journal:
Atherosclerosis
PMID:
38679562
Abstract
BACKGROUND AND AIMS: This study investigated the additional prognostic value of epicardial adipose tissue (EAT) volume for major adverse cardiovascular events (MACE) in patients undergoing stress cardiac magnetic resonance (CMR) imaging.
Authors
Keywords
Adipose Tissue
Aged
Coronary Artery Disease
Deep Learning
Epicardial Adipose Tissue
Female
Humans
Magnetic Resonance Imaging
Magnetic Resonance Imaging, Cine
Male
Middle Aged
Myocardial Infarction
Pericardium
Predictive Value of Tests
Prognosis
Reproducibility of Results
Retrospective Studies
Risk Assessment
Risk Factors
Stroke Volume
Ventricular Function, Left