视觉冠状动脉评分以支持机会性CAD查:对三种已建立的系统进行比较评估,并引入一种新的评分系统
Philipp Nicol1, Rafael Adolf2, Salvatore Cassese1
1Department of Cardiovascular Diseases, German Heart Center Munich, TUM University Hospital, Munich, Germany.
International journal of cardiology. Heart & vasculature
|February 2, 2026
概括
冠状动脉 (CAC) 的视觉评分方法显示出高准确性和可重复性,与Agatston评分相对应. 一个新的韦斯顿扩展分数 (WES) 提供了CAC密度和分布的实际平衡.
科学领域:
- 心脏病学 心脏病学
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 冠状动脉 (CAC) 评分评估动脉样硬化负担和心血管风险.
- 阿加斯顿评分是临床标准,但视觉评分方法在机会性CT成像中越来越受欢迎.
- 本研究将视觉CAC评分方法与Agatston评分进行诊断性能和可靠性的比较.
研究的目的:
- 将视觉CAC评分方法的诊断性能与Agatston评分进行比较.
- 评估不同视觉评分技术的观察者间可靠性.
- 评估视觉评分方法与建立的Agatston分数之间的相关性.
主要方法:
- 两名盲人观察员使用视觉顺序得分 (VS),韦斯顿得分 (WS) 和船舶特定范围的得分 (VSES) 评估了299个ECG关闭的CT扫描.
- 通过将WS和VSES结合起来,得出了一个新的韦斯顿扩展分数 (WES).
- 使用科恩的卡帕和ICC评估了观察者间的协议;对Agatston类别进行了分类表现的评估.
主要成果:
- 所有视觉评分方法都与阿加斯顿评分 (斯皮尔曼 ρ > 0.87) 有很高的相关性.
- 视觉评分显示了最高的观察者间一致性 (Kappa = 0.94,ICC = 0.97),其次是WS (Kappa = 0.90) 和VSES (Kappa = 0.77).
- 视觉评分获得了最高的准确性 (90.0-91.3%);WES评分显示了80.9%的准确性,具有93.8%的特异性.
结论:
- 视觉CAC评分方法为CAC分类提供了出色的可重现性和诊断准确性,与Agatston评分有很强的相关性.
- 新的WES分数提供了CAC密度和解剖分布的实际平衡.
- 支持在临床和机会性CT环境中实施结构化视觉CAC评分.
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