连续的三维透食管心声学和深度学习用于对左心室纵向功能的外科监测
Jinyang Yu1,2,3, Anders Austlid Taskén4, Erik Andreas Rye Berg1,2
1Department of Circulation and Medical Imaging, Fakultet for medisin og helsevitenskap, Norwegian University of Science and Technology, Postboks 8905, 7491 Trondheim, Norway.
European heart journal. Imaging methods and practice
|May 22, 2025
概括
使用3D自动MAPSE持续监测左心室 (LV) 功能,为外科手术期间的患者提供了一种可行和精确的方法. 这种新的技术通过提供可靠的LV功能洞察力,有助于心肺管理.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 持续监测左心室 (LV) 功能对于在外科手术期间有效的心肺管理至关重要.
- 目前的方法可能无法为动态患者状况提供所需的持续自动化评估.
研究的目的:
- 开发和评估3D自动MAPSE,这是一种新的方法,结合了3D食道横断心声学和深度学习,用于自动测量中枢环状平面缩 (MAPSE) 测量.
- 评估3D自动MAPSE的可行性,精度和一致性,用于在重症监护病人的持续LV功能监测.
主要方法:
- 一项前性观察性研究,涉及50名心脏手术后的成年重症监护患者.
- 模拟连续监测使用3D食道横断心声学与自动MAPSE测量 (3D自动MAPSE) 每5分钟记录120分钟.
- 在血液动力学稳定期间进行测试复试分析,以确定精度和与手动MAPSE测量的一致性.
主要成果:
- 在分析LV功能方面,3D自动MAPSE表现出卓越的可行性 (99%) 和高精度 (最小显著变化为1.6毫米).
- 在3D自动MAPSE和手动MAPSE测量之间发现了充分的一致性 (偏差为-1.4毫米).
- 连续的3D自动MAPSE显示了与N-终端亲B型尿素和高灵敏度的Troponin-T的显著关联,优于其他心声回声测量.
结论:
- 3D自动MAPSE提供了一种高度可行和精确的方法,用于在术前患者中持续监测LV功能.
- 该方法与手动心声回声学有很好的一致性,并且与相关的术后生物标志物相关.
- 连续3D自动MAPSE是补充血液动力学监测和加强心肺管理的宝贵工具.
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