Key result
CT-radiomic parameter GLSZM of epicardial adipose tissue predicts AF recurrence 12 months after catheter ablation.
Why the study?
Epicardial adipose tissue is considered a probable AF trigger, and this study evaluated the EAT radiomic phenotype on CT to predict AF recurrence after catheter ablation in lone AF.
Does the radiomic phenotype of epicardial adipose tissue predict atrial fibrillation recurrence after catheter ablation in patients with lone atrial fibrillation?
Observational (n=63)
Does the radiomic phenotype of epicardial adipose tissue predict atrial fibrillation recurrence after catheter ablation in patients with lone atrial fibrillation?
Effect estimate: OR 1.0027 (95% CI 1.0009-1.0044)
p-value: p=0.002
The CT-radiomic parameter GLSZM of epicardial adipose tissue is an independent predictor of late AF recurrence after catheter ablation in patients with lone AF.
GLSZM should not yet guide ablation decisions in lone AF; hypothesis-generating for radiomic phenotyping of epicardial adipose tissue.
Background Epicardial adipose tissue (EAT) has been considered as one of the probable triggers of atrial fibrillation (AF). CT‐rediomics is a perspective noninvasive method of assessment of EAT. We evaluate the radiomic phenotype of EAT in patients with lone AF in the prognosis of AF recurrence after catheter ablation. Methods A total of 43 patients with lone AF referred for CA and 20 out‐hospital patients without arrhythmia underwent multidetector computed tomography coronary angiography. Segmentation of EAT and extraction radiomic features were performed on calcium scoring series using by 3D‐Slicer. Clinical follow‐up was performed for 12 months period after the CA. Results EAT in patients with lone AF had a distinct radiomic phenotype. Thus, 45 of 93 calculated radiomic features, volume and attenuation of EAT were significantly different between patients with lone AF and persons without any arrhythmia. In addition, 17 radiomic features were significantly different in subgroups with and without AF recurrence. Multivariate regression analysis demonstrated that only gray level nonuniformity normalized (GLSZM) was an independent predictor of AF recurrence (OR 1.0027, 95%CI 1.0009–1.0044, p = 0.002). ROC analysis data showed that GLSZM >1227.4 indicates high probability of AF recurrence during 12 months (sensitivity 89.4%, specificity 70.8%, AUC: 0.809; p = 0.001). Conclusion The radiomic parameter GLSZM is associated with late AF recurrence after CA in patients with lone AF. In current study GLSZM was a stronger predictor of lone AF recurrence in multivariate analysis comparing with other established risk factors and EAT volume and attenuation.
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Ilyushenkova et al. (2022) conducted an observational in Lone atrial fibrillation (n=63). CT-radiomics of epicardial adipose tissue vs. Patients without AF recurrence was evaluated on Atrial fibrillation recurrence (OR 1.0027, 95% CI 1.0009-1.0044, p=0.002). The CT-radiomic parameter GLSZM of epicardial adipose tissue independently predicted atrial fibrillation recurrence 12 months after catheter ablation (OR 1.0027; 95% CI 1.0009-1.0044; p=0.002).
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