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基于AI的定量冠状动脉CTA与基于人类阅读器的视觉评估的预后价值:来自CONFIRM2注册表的结果

Alexander van Rosendael¹, Rine Nakanishi², Jeroen J Bax¹

¹Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.

JACC. Cardiovascular imaging

|December 1, 2025

概括

与传统方法相比,人工智能引导的定量冠状动脉计算机断层扫描血管造影 (AI-QCT) 对主要不良心脏事件 (MACE) 的预后价值更高. 这种AI-QCT方法显著提高了接受冠状动脉计算机断层扫描血管造影的患者的风险分层.

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:

定量冠状动脉计算机断层扫描血管学 (AI-QCT) 准确地测量冠状动脉斑块和狭窄.
有限的数据存在AI-QCT的预后值与标准冠状动脉计算机断层扫描血管造影 (CTA) 和冠状动脉分数 (CACS) 相比.

研究的目的:

评估AI-QCT的预后能力.
为了将AI-QCT与人类CTA读数进行比较,CAD-RADS,CACS和修改的杜克指数.

主要方法:

在CONFIRM2研究中,分析了接受冠状动脉CTA的1916名患者.
AI-QCT量化了斑块负担和狭窄,创建了一个"AI-QCT"得分.
结果是3年内发生的重大心脏不良事件 (MACE) 和死亡/心肌梗塞 (MI).

主要成果:

与CAD-RADS,CACS和修改后的杜克指数相比,AI-QCT显著改善了MACE的风险分层.
AI-QCT表现出卓越的预测性能,特别是在识别MACE和死亡/MI时.
在没有严重狭窄的患者中,AI-QCT是MACE和死亡/MI的唯一显著预测因子.

结论:

AI-QCT提供了重要的增量预后信息.
在预测MACE和死亡/MI方面,AI-QCT的表现优于CAD-RADS 2.0,CACS和修改后的杜克指数.

关键词:

在CAD-RADS中获得分数.人工智能是一种人工智能.分数评分分数评分冠状动脉 CTA 的冠状动脉 CTA 的预后预后预后

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