人工智能增强的三维心声回声学揭示了左心房心室合指数作为冠状动脉疾病的新预后标志物
Siwen Qin1, Difei Li1, Qin Feng1
1Department of Ultrasound, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110000, People's Republic of China.
BMC cardiovascular disorders
|December 3, 2025
概括
左心室 - 心室合指数 (LACI) 有效预测冠状动脉疾病 (CAD) 患者的心血管事件. 人工智能增强的心声回声学提高了预后准确性,特别是对于那些患有严重冠状动脉病变的人来说.
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:
- 左心房-心室合指数 (LACI) 量化了左心房和心室的相互作用.
- 作为心血管事件的预后标志物,LACI显示出前景.
研究的目的:
- 为了评估AI衍生的LACI在冠状动脉疾病 (CAD) 患者的预后价值.
- 评估LACI是否能改善风险分层,超出传统心声回声学参数.
主要方法:
- 三维回声心脏图 (3DE) 和人工智能软件用于计算1084名CAD患者的LACI.
- LACI被定义为左心房末端透缩体积与左心室末端透缩体积的比.
- 追踪主要心血管不良事件 (MACE),包括不稳定的心痛,心肌再发作,心力衰竭和死亡.
主要成果:
- 在经历MACE的患者中,LACI显著更高.
- 与传统的心声学参数相比,LACI对MACE的预测准确度更高.
- LACI是MACE的独立预测因子,特别是在患有严重冠状动脉病变的患者和男性中.
结论:
- 人工智能增强的3DE衍生LACI在CAD患者中提供了增量预后价值.
- LACI 改善了风险分层,特别是在严重冠状动脉病变的子组中.
- LACI是评估CAD患者的预后的一个有价值的工具.
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