Development and Validation of a Machine Learning-Based Radiomics Model on Cardiac Computed Tomography of Epicardial Adipose Tissue in Predicting Characteristics and Recurrence of Atrial Fibrillation

PURPOSE: This study aimed to evaluate the feasibility of differentiating the atrial fibrillation (AF) subtype and preliminary explore the prognostic value of AF recurrence after ablation using radiomics models based on epicardial adipose tissue around the left atrium (LA-EAT) of cardiac CT images. M...

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Detalles Bibliográficos
Autores principales: Yang, Min, Cao, Qiqi, Xu, Zhihan, Ge, Yingqian, Li, Shujiao, Yan, Fuhua, Yang, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927627/
https://www.ncbi.nlm.nih.gov/pubmed/35310976
http://dx.doi.org/10.3389/fcvm.2022.813085

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927627/
https://www.ncbi.nlm.nih.gov/pubmed/35310976
http://dx.doi.org/10.3389/fcvm.2022.813085

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