关于人工智能引导导管切除在长期持久性心房的第一个临床数据
Fabian Bahlke1, Florian Englert1, Miruna Popa1
1Department of Electrophysiology, German Heart Center Munich, Technical University of Munich, Munich, Germany.
Journal of cardiovascular electrophysiology
|January 10, 2024
概括
人工智能 (AI) 引导的空间时间分散的导管切除 (DISPERS) 显示出治疗持续性心房动 (AF) 的希望. 这种人工智能引导的方法在多次手术后保持鼻节律的成功率为82%,并发症率低.
科学领域:
- 心脏病学 心脏病学
- 医疗技术 医疗技术 医学技术
- 人工智能在医学中的应用
背景情况:
- 持续性心房 (AF) 治疗仍然具有挑战性,尽管有先进的废除技术.
- 持续性AF的潜在病理生理学需要进一步了解.
- 这项研究研究了人工智能引导的空间时空分散 (DISPERS) 废除对于长期持久的AF.
研究的目的:
- 分析导管切除的结果和安全性,针对AI软件识别的DISPERS.
- 评估DISPERS指导除在患有长期持续性AF的患者中的疗效.
主要方法:
- 连续50名患有持续性AF的患者使用Volta VX1 AI软件进行了高密度映射.
- 切除包括肺静脉隔离 (PVI) 和左心房和右心房的向.
- 随访包括定期的诊所访问和12个月的7天霍尔特心电图.
主要成果:
- 在24%的患者中,DISPERS除延长了AF周期的长度,并终止了AF/心房动心 (AT).
- 没有发生中风或心周溢出;两名患者出现了严重的沟并发症.
- 在空白期后,52%的患者出现了复发,主要是有组织的AT;82%的患者在平均1.46次手术后实现了稳定的鼻节律 (SR).
结论:
- 除了PVI外,人工智能引导的DISPERS切除还显示出在消除AF和AT方面长期取得了很高的成功.
- 大多数复发是复发的AT,尽管手术时间较长,但整体并发症率较低.
- 需要进行随机研究来确认人工智能驱动的分散导向切除的长期疗效.
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