ArticleFrontiers in medicine2026
A computed tomography-based radiomics-clinical model incorporating left atrial and proximal pulmonary vein features predicts recurrence after radiofrequency catheter ablation of atrial fibrillation: a multicenter study.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Objective: To develop and validate a CCTA-based radiomics-clinical model for predicting late recurrence after radiofrequency catheter ablation (RFCA) in patients with atrial fibrillation (AF). Methods: This retrospective multicenter study included 379 patients who underwent first-time RFCA and preprocedural CCTA at two centers (Center A, Results: Of the 379 included patients, 106 (28.0%) developed late AF recurrence within 2 years after ablation. Multivariable logistic regression identified sex and left ventricular ejection fraction as independent clinical predictors. The combined model achieved AUCs of 0.896, 0.894, and 0.869 in the training, internal validation, and external validation cohorts, respectively, consistently outperforming the radiomics model (0.874, 0.840, and 0.787, respectively) and the clinical model (0.694, 0.658, and 0.704, respectively). These findings indicate good predictive performance, with maintained performance in the external validation cohort. Conclusion: The CCTA-based radiomics-clinical model derived from the LAC showed good performance for predicting late recurrence after RFCA for AF and may serve as a practical tool for individualized preprocedural risk stratification.
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