Virtual In-Silico Modeling Guided Catheter Ablation Predicts Effective Linear Ablation Lesion Set for Longstanding Persistent Atrial Fibrillation: Multicenter Prospective Randomized Study

Virtual In-Silico Modeling Guided Catheter Ablation Predicts Effective Linear Ablation Lesion Set for Longstanding Persistent Atrial Fibrillation: Multicenter Prospective Randomized Study

Objective: Radiofrequency catheter ablation for persistent atrial fibrillation (PeAF) still has a substantial recurrence rate. This study aims to investigate whether an AF ablation lesion set chosen using in-silico ablation (V-ABL) is clinically feasible and more effective than an empirically chosen...

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Bibliographic Details
Main Authors: Jaemin Shim, Minki Hwang, Jun-Seop Song, Byounghyun Lim, Tae-Hoon Kim, Boyoung Joung, Sung-Hwan Kim, Yong-Seog Oh, Gi-Byung Nam, Young Keun On, Seil Oh, Young-Hoon Kim, Hui-Nam Pak
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Physiology
Subjects:
atrial fibrillation
catheter ablation
virtual ablation
in-silico modeling
recurrence
Online Access:http://journal.frontiersin.org/article/10.3389/fphys.2017.00792/full

Internet

http://journal.frontiersin.org/article/10.3389/fphys.2017.00792/full

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