Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation
Virtual Catheter Ablation of Target Areas Identified from Image-Based Models of Atrial Fibrillation
复制标题
对基于图像的心房颤动模型识别的目标区域进行虚拟导管消融
DOI：
--
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
O. Aslanidi
中科院分区：
文献类型：
--
作者：
Aditi Roy;M. Varela;H. Chubb;R. Macleod;J. Hancox;T. Schaeffter;M. O'Neill;O. Aslanidi
导管消融（CA）是房颤（AF）患者心律控制的有效策略。然而，慢性房颤患者的成功率仍然不理想，其中最佳消融的目标未知。最近的临床证据表明心房纤维化与折返驱动器（RD）维持AF的位置相关。然而，缺乏基于患者特定纤维化分布的最佳消融位置的知识。本研究的目的是提供一种概念验证方法，以（1）根据纤维化心房的3D模型预测患者特定的消融靶点，（2）执行虚拟消融。
Catheter Ablation (CA) is an effective strategy for rhythm control in atrial fibrillation (AF) patients. However, success rate remains suboptimal in chronic AF patients, where targets for optimal ablation are unknown. Recent clinical evidence suggests an association of atrial fibrosis with locations of re-entrant drivers (RDs) sustaining AF. However, the knowledge of optimal ablation locations based on patient-specific fibrosis distribution is lacking. The aim of this study is to provide a proof-of-concept method to (1) predict patient-specific ablation targets from 3D models of fibrotic atria and (2) perform virtual ablation.