通过实时光镜3D计算建模的融合引导左心房附属体的关闭:一个多中心的经验
Philippe Garot1, Emmanuel Gall2, Sandra Zendjebil1
1Institut Cardiovasculaire Paris Sud (ICPS), Hôpital Jacques Cartier, Ramsay-Santé, Massy, France.
International journal of cardiology
|October 12, 2024
概括
这项研究表明,将3D计算模型与实时光学融合为左心房尾关闭 (LAAC) 是安全有效的. 这种人工智能引导的方法优化了LAAC的结果,改善了患者的护理.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 计算机建模 计算建模
背景情况:
- 针对患者的3D计算建模显示为量身定制的医疗方法提供了希望.
- 对LAAC实时光镜的数字双胞胎融合的经验有限.
- 这项研究解决了使用计算模型理解人工智能引导LAAC的差距.
研究的目的:
- 以3D计算模型与实时光学融合为指导,评估LAAC的安全性和有效性.
- 评估使用人工智能支持的计算机模拟用于LAAC设备选择和定位的可行性.
- 确定与这种新型指导技术相关的程序成功率和并发症率.
主要方法:
- 对接受LAAC的106名非膜性心房的患者进行了回顾性分析.
- 利用人工智能支持的计算机模拟 (FEops HEARTguideTM) 进行数字双胞胎创建和与实时光镜的图像融合.
- 评估初级疗效 (成功的LAAC,没有中度/大泄漏,没有DRT) 和安全性 (主要并发症) 终点.
主要成果:
- 在106名患者中实现了100%的成功装置植入.
- 主要疗效终点在89%的患者中实现了; 46%的患者实现了单一设备部署.
- 严重并发症的发生率低 (1.9%);两名患者在随访期间经历了缺血性中风.
结论:
- 基于CT的3D计算模型与实时光镜的融合是LAAC的一种安全有效的方法.
- 这种人工智能引导的方法有可能优化过导管LAAC的结果.
- 该研究支持使用数字双胞胎来提高LAAC的程序精度和患者安全.
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