人工智能辅助的CCTA量化了冠状动脉样硬化负担的性别差异,而动脉瘤体积较低
Zoee D'Costa1, Ronald P Karlsberg1,2,3, Geoffrey W Cho1,3
1David Geffen School of Medicine at the University of California Los Angeles, United States.
International journal of cardiology. Heart & vasculature
|August 5, 2025
概括
冠状动脉疾病负担较低的男性比女性更高的非化斑块. 有助于人工智能的冠状动脉计算机断层扫描血管学 (CCTA) 揭示了斑块组成的性别差异,有助于早期风险分层.
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:
- 冠状动脉疾病 (CAD) 呈现出性别特异性的表现.
- 雌性可能会产生更多的非化斑块,传统的聚焦成像可能会错过这些斑块.
- 了解这些差异对于准确的风险评估至关重要.
研究的目的:
- 为了研究冠状动脉斑块组成的基于性别的差异.
- 评估人工智能支持的冠状动脉计算机断层扫描血管学 (CCTA) 在低风险个体中的实用性.
- 评估斑块亚型,包括化,非化和低密度非化动脉瘤体积.
主要方法:
- 追溯性队列研究,对100名具有较低全动脉瘤体积 (<250毫米3) 的个体进行了追溯性队列研究.
- 利用人工智能 (AI) 支持的CCTA进行详细的斑块分析.
- 量化化,非化和低密度非化板块体积.
主要成果:
- 与男性相比,女性的总和非化斑块负担明显较低.
- 在两性之间化或低密度非化斑块体积上没有观察到显著的差异.
- 年龄是各个亚型斑块体积的一致预测因素.
结论:
- 尽管总体疾病负担较低,但男性的非化斑块负担较高.
- 启用AI的CCTA可以检测亚临床冠状动脉疾病和斑块组成的性别差异.
- 在两性中进行全面的斑块分析可以改善冠状动脉疾病的早期风险分层.
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