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Epicardial adipose tissue radiomic features from pre-procedural CT to predict atrial fibrillation recurrence after catheter ablation for pulmonary vein isolation

PurposeThis study aimed to develop and validate a machine learning model that integrates radiomic features of epicardial adipose tissue (EAT) from pre-procedural CT angiography with clinical variables to predict atrial fibrillation (AF) recurrence after pulmonary vein isolation (PVI).Materials and m...

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Principais autores: Guoxiang Ma, Shuai Shang, Zhen Bao, Hui Liu, Huling Li, Kai Wang, Baopeng Tang, Yanmei Lu
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2026-02-01
coleção:Frontiers in Cardiovascular Medicine
Assuntos:
atrial fibrillation
epicardial adipose tissue
machine learning
pulmonary vein isolation
radiomics
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fcvm.2026.1765419/full
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