Abstract 11962: Applying a Deep-Learning Approach for Automated Quantification of Epicardial Adipose Tissue on Coronary Computed Tomography Angiography in Challenging Clinical Populations

Henry W West,Muhammad Siddique,Lucrezia Volpe,Ria M. Desai,Maria Lyasheva,Katerina Dangas,Cheerag Shirodaria,Stefan Neubauer,Keith M. Channon,Milind Y. Desai,Michelle C. Williams,Jonathan C L Rodrigues,David Adlam, Nicol D Ed,Charalambos Antoniades

Circulation（2021）

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摘要

Introduction: Epicardial adipose tissue (EAT) is a visceral fat deposit within the pericardial sac. The automated quantification of EAT volume is possible from routine CCTA scans via a deep-learnin...

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