Regional Entropy of Epicardial Adipose Tissue on Spectral CT: A Novel Imaging Biomarker for Atrial Fibrillation Recurrence
Author Block: Y. Hu1, W. Deng2, J. Zhang2; 1Yan'cheng, Jiangsu/CN, 2Shanghai/CN
Purpose: Epicardial adipose tissue (EAT) is an important biomarker in atrial fibrillation (AF). This study evaluated whether EAT histogram parameters from virtual noncontrast and contrast-enhanced dual-layer spectral CT predict AF recurrence after ablation.
Methods or Background: In this prospective study, patients undergoing first-time AF ablation (Jan 2021–Jul 2024) underwent preoperative dual-energy cardiac CT. EAT on contrast-enhanced images (-190 to -30 HU) was segmented using a deep learning model. VNC images were reconstructed, and density difference maps were generated. Regional histogram parameters were extracted. Continuous variables were compared using Mann–Whitney U test, and Cox models evaluated predictors of AF recurrence.
Results or Findings: A total of 492 patients (mean age, 66 years; 316 men) were enrolled (paroxysmal AF, 54%; persistent AF, 46%). The median follow-up was 22 months. EAT volume was significantly greater in patients with persistent AF compared with those with paroxysmal AF (144 cm³ [IQR, 105–184] vs 126 cm³ [IQR, 100–154]; P < .001). Multiple EAT histogram parameters differed significantly between groups, including Max, Mean, Median, Std, Q1, Q3, Variance, IQR, 90th percentile, MAD, Skewness, Energy, Total Energy, RMS, Entropy, and Uniformity. During follow-up through July 2025, AF recurrence occurred in 73 patients (15%). Among EAT regional histogram parameters, entropy was significantly associated with AF recurrence (hazard ratio [HR], 2.0; 95% CI: 1.2–3.3; P < .01). In multivariable Cox regression, EAT entropy remained an independent predictor after adjustment for age, sex, AF phenotype, and EAT volume (HR, 1.97; 95% CI: 1.2–3.3; P = .013).
Conclusion: DLCT-based EAT histogram analysis, especially regional entropy, offers novel biomarkers for AF recurrence, supporting enhanced pre-ablation risk stratification.
Limitations: One-center study
Funding for this study: This study is supported by The National Key Research and Development Program of China (Grant No.: 2021YFF0501402), National Natural Science Foundation of China (Grant No.: 82471982, 82271990), Shanghai Municipal Science and Technology Commission Discipline Leader Project (Grant No.: BJKJ2024052), Shanghai Health Commission Discipline Leader Project (Grant No.: 2022XD031), and Medical research project of Yancheng Municipal Health Commission (Grant No.: YK2024225).
Has your study been approved by an ethics committee? Yes
Ethics committee - additional information: The institutional review board of each participating hospital approved this prospective study (2018-014)