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

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作者： Jaemin,Shim ^[1] ; Minki,Hwang ^[2] ; Jun-Seop,Song ^[2] ; Byounghyun,Lim ^[2] ; Tae-Hoon,Kim ^[2] ; Boyoung,Joung ^[2] ; Sung-Hwan,Kim ^[3] ; Yong-Seog,Oh ^[3] ; Gi-Byung,Nam ^[4] ; Young Keun,On ^[5] ; Seil,Oh ^[6] ; Young-Hoon,Kim ^[1] ; Hui-Nam,Pak ^[2]

作者单位： Cardiovascular Center, Korea University, Seoul, South Korea. ^[1] Division of Cardiology, Yonsei University Health System, Seoul, South Korea. ^[2] Division of Cardiology, Catholic University of Korea, Seoul, South Korea. ^[3] Asan Medical Center, University of Ulsan, Seoul, South Korea. ^[4] Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea. ^[5] Division of Cardiology, Seoul National University, Seoul, South Korea. ^[6]

关键词 atrial fibrillation catheter ablation in-silico modeling recurrence virtual ablation

DOI 10.3389/fphys.2017.00792

PMID 29075201

发布时间 2020-09-30

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Frontiers in physiology

2017年8卷

792页

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

Frontiers in physiology

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Frontiers in physiology

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

Frontiers in physiology

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Frontiers in physiology

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