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Yue Wu¹, Haicheng Qi², Xinwei Zhang²

¹Radiological Imaging Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001, China (Y.W.).

Academic radiology

|September 20, 2024

概括

使用冠状动脉计算机断层扫描血管学 (CCTA) 进行冠状动脉周周脂肪组织 (PCAT) 的放射学分析,可以有效预测主要的不良心血管事件 (MACE). 这些PCAT放射学模型显著优于风险分层的脂肪减弱指数 (FAI).

科学领域:

心血管成像 - 心血管成像
无线电学 (Radiomics) 是一种辐射学.
人工智能在医学中的应用

背景情况:

冠周脂肪组织 (PCAT) 在心血管疾病 (CVD) 发病过程中发挥作用.
冠状动脉计算机断层扫描血管学 (CCTA) 可以评估PCAT特征.
预测主要不良心血管事件 (MACE) 对于冠状动脉疾病 (CAD) 患者管理至关重要.

研究的目的:

在五年内评估PCAT放射学特征的预测能力,从CCTA对MACE进行预测.
为了比较PCAT放射学模型与脂肪衰减指数 (FAI) 的性能.

主要方法:

追溯病例控制研究涉及420名患有CAD的患者 (210名MACE,210名对照).
使用PCAT放射学特征从LAD,LCX和RCA动脉通过LASSO回归开发后勤回归模型.
创建一个集成的PCAT放射学模型并与使用ROC曲线和决策曲线的FAI模型进行比较.

主要成果:

与FAI模型 (AUC=0.564培训,0.518测试) 相比,集成的PCAT放射学模型显示出更高的诊断性能 (AUC=0.923培训,0.871测试).
单个和集成的放射学模型显示出高精度和临床实用性.
所有开发的模型都显示出良好的校准和合适性.

结论:

来自CCTA的PCAT放射学模型对于预测未来的MACE风险非常有价值.
这些放射学模型在预测MACE方面明显优于FAI模型.

关键词:

冠状动脉计算机断层扫描血管图谱.脂肪减弱指数是指脂肪减弱指数.主要的不良心血管事件.冠状周周脂肪组织组织.无线电学 (Radiomics) 是一种辐射学.

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