在无症状个体中冠状动脉分数的当前状态和未来前景
Yuko O Kawaguchi1, Shinichiro Fujimoto1, Yui O Nozaki1
1Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Journal of cardiology
|December 4, 2024
概括
冠状动脉评分 (CACS) 有助于评估无症状个体的心血管风险. 需要进行研究来验证CACS使用日本的非ECG-gatedCT扫描,潜在地使用AI用于更广泛的临床应用.
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:
- 动脉样性心血管疾病是导致死亡的主要原因.
- 准确的风险分层是至关重要的,即使在无症状个体中也是如此.
- 冠状动脉分数 (CACS) 来自ECG-gatedCT是美国和欧洲对中等风险患者的建议指南.
研究的目的:
- 为了解决日本CACS的有限使用问题.
- 调查CACS对无症状日本人的心血管事件风险分层的有用性.
- 为了探索评估CACS的可行性从非ECG-gated胸部CT扫描用于更广泛的临床应用.
主要方法:
- 对CACS和冠状动脉化 (CAC) 跨种族流行现有文献的审查.
- 讨论在医疗检查中常见的使用非心电图胸部CT成像的可能性.
- 突出了人工智能 (AI) 最近的进步,用于从非ECG-gated CT中进行CACS评估.
主要成果:
- 在大群体中,CACS是经过验证的风险分层工具.
- 关于日本人口中CACS实用性的数据很少.
- 无心电图的CT扫描显示出CAC评估的前景,AI提高了准确性.
结论:
- 确定CACS在日本人口中的有效性是必不可少的.
- 使用非心电图关闭的CT扫描,可能与人工智能,可以促进更广泛的CACS在日本的实施.
- 这种方法可以改善常规临床实践和医疗检查中的心血管风险评估.
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