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

A fusion model incorporating EAT radiomics and clinical variables effectively predicts AF recurrence after PVI, with ensemble methods showing optimal performance. This study provides a multiscale, interpretable computational tool for individualized postoperative risk stratification, highlighting the complementary role of EAT imaging biomarkers to systemic clinical factors.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2026-02-26
DOI
https://doi.org/10.3389/fcvm.2026.1765419
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Huling Li, Shuai Shang, Yanmei Lu, Zhen Bao et al.
Frontiers in Cardiovascular Medicine
Cardiovascular Disease and Adiposity
article

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

Huling Li, Shuai Shang, Yanmei Lu, Zhen Bao, Hui Liu, Baopeng Tang, Guoxiang Ma, Kai Wang
article en

Abstract

A fusion model incorporating EAT radiomics and clinical variables effectively predicts AF recurrence after PVI, with ensemble methods showing optimal performance. This study provides a multiscale, interpretable computational tool for individualized postoperative risk stratification, highlighting the complementary role of EAT imaging biomarkers to systemic clinical factors.

Frontiers in Cardiovascular MedicineVol. 13
Xinjiang Medical University (CN), First Affiliated Hospital of Xinjiang Medical University (CN)
Openalex Percentile: Top 46%
Cardiovascular Disease and Adiposity
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