Pre-ablation Dual-Energy CT-derived Extracellular Volume Fraction Predicts Recurrence After Radiofrequency Ablation in Non-paroxysmal Atrial Fibrillation

Abstract Objectives To determine whether pre-ablation left ventricular extracellular volume fraction (ECV), derived from delayed-phase dual-energy cardiac computed tomography angiography (CTA), predicts atrial fibrillation (AF) recurrence after radiofrequency ablation in patients with non-paroxysmal AF. Methods In this retrospective cohort, 399 patients with non-paroxysmal AF undergoing radiofrequency ablation were included. All patients underwent preprocedural cardiac CTA with delayed-phase imaging acquired 5 minutes after contrast administration to quantify left ventricular ECV. To identify independent predictors of AF recurrence, patients were stratified by an optimal ROC-derived cutoff and analyzed using univariate and multivariate Cox proportional hazards models. Model performance was assessed using the concordance index (C-index), net reclassification index (NRI), and integrated discrimination improvement (IDI). Results During 10.1 months of follow-up (interquartile range, 8.1-13.6), 91 patients (22.8%) experienced AF recurrence after post-ablation. Recurrence was significantly associated with higher ECV values (37.6% ± 5.05% vs. 32.6% ± 2.05%; p < 0.01). The optimal ECV cutoff of 34.69% demonstrated an area under the curve (AUC) of 0.85 (95%CI: 0.79-0.90). Multivariate Cox regression identified high ECV (HR = 1.84; 95%CI: 1.24-2.33; p < 0.01) as independent predictors of AF recurrence. Additionally, integrating ECV with traditional clinical risk factors significantly enhanced predictive performance, achieving a C-index of 0.82 (95% CI: 0.74–0.86), an IDI of 0.66 (95%CI: 0.41–0.91), and an NRI of 0.55 (95%CI: 0.26–0.61). Conclusions In non-paroxysmal AF patients, myocardial ECV derived from delayed-phase CT is an independent predictor of AF recurrence. Advances in Knowledge This study provides evidence that DECT-derived ECV, a surrogate marker of diffuse myocardial fibrosis, can stratify recurrence risk in non-paroxysmal AF patients.

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Journal
British Journal of Radiology
Published
2026-06-18
DOI
https://doi.org/10.1093/bjr/tqag149
Primary Topic
Atrial Fibrillation Management and Outcomes
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article
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article

Pre-ablation Dual-Energy CT-derived Extracellular Volume Fraction Predicts Recurrence After Radiofrequency Ablation in Non-paroxysmal Atrial Fibrillation

Jianmin Wu, Shuangxiang Lin, Kaiqi Lv, Shuyue Wang et al.
British Journal of Radiology
Atrial Fibrillation Management and Outcomes
article

Pre-ablation Dual-Energy CT-derived Extracellular Volume Fraction Predicts Recurrence After Radiofrequency Ablation in Non-paroxysmal Atrial Fibrillation

Jianmin Wu, Shuangxiang Lin, Kaiqi Lv, Shuyue Wang, Chenjia Liu, Jianzhong Sun, Xinhong Wang
article en

Abstract

Abstract Objectives To determine whether pre-ablation left ventricular extracellular volume fraction (ECV), derived from delayed-phase dual-energy cardiac computed tomography angiography (CTA), predicts atrial fibrillation (AF) recurrence after radiofrequency ablation in patients with non-paroxysmal AF. Methods In this retrospective cohort, 399 patients with non-paroxysmal AF undergoing radiofrequency ablation were included. All patients underwent preprocedural cardiac CTA with delayed-phase imaging acquired 5 minutes after contrast administration to quantify left ventricular ECV. To identify independent predictors of AF recurrence, patients were stratified by an optimal ROC-derived cutoff and analyzed using univariate and multivariate Cox proportional hazards models. Model performance was assessed using the concordance index (C-index), net reclassification index (NRI), and integrated discrimination improvement (IDI). Results During 10.1 months of follow-up (interquartile range, 8.1-13.6), 91 patients (22.8%) experienced AF recurrence after post-ablation. Recurrence was significantly associated with higher ECV values (37.6% ± 5.05% vs. 32.6% ± 2.05%; p < 0.01). The optimal ECV cutoff of 34.69% demonstrated an area under the curve (AUC) of 0.85 (95%CI: 0.79-0.90). Multivariate Cox regression identified high ECV (HR = 1.84; 95%CI: 1.24-2.33; p < 0.01) as independent predictors of AF recurrence. Additionally, integrating ECV with traditional clinical risk factors significantly enhanced predictive performance, achieving a C-index of 0.82 (95% CI: 0.74–0.86), an IDI of 0.66 (95%CI: 0.41–0.91), and an NRI of 0.55 (95%CI: 0.26–0.61). Conclusions In non-paroxysmal AF patients, myocardial ECV derived from delayed-phase CT is an independent predictor of AF recurrence. Advances in Knowledge This study provides evidence that DECT-derived ECV, a surrogate marker of diffuse myocardial fibrosis, can stratify recurrence risk in non-paroxysmal AF patients.

British Journal of Radiology
Second Affiliated Hospital of Zhejiang University (CN)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 7%
Atrial Fibrillation Management and Outcomes
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