作者: Michel Haissaguerre , Meleze Hocini , Arnaud Denis , Ashok J. Shah , Yuki Komatsu
DOI: 10.1161/CIRCULATIONAHA.113.005421
关键词: Electrocardiographic imaging 、 Medicine 、 Atrial fibrillation 、 Persistent atrial fibrillation 、 Cardiology 、 Surgery 、 Internal medicine 、 Signal 、 Computed tomography 、 End point
摘要: Background—Specific noninvasive signal processing was applied to identify drivers in distinct categories of persistent atrial fibrillation (AF). Methods and Results—In 103 consecutive patients with AF, accurate biatrial geometry relative an array 252 body surface electrodes obtained from a noncontrast computed tomography scan. The reconstructed unipolar AF electrograms acquired at bedside multiple windows (duration, 9±1 s) were processed the (focal or reentrant activity) their cumulative density map. driver domains catheter ablated by using termination as procedural end point comparison stepwise-ablation control group. maps showed incessantly changing beat-to-beat wave fronts varying spatiotemporal behavior activities. Reentries not sustained (median, 2.6 rotations lasting 449±89 ms), meandered substantially but recurred repetitively same region. In total, 4720 identified ...