人工智能冠状动脉CT血管成像在评估冠状动脉狭窄中的应用价值
Application Value of Artificial Intelligence Coronary Artery CTA Imaging in the Evaluation of Coronary Artery Stenosis
韩莎莎 1程留慧 2张卉 2王红阳 2路洋 3马少婕 3张明子 3石鑫 3傅琪钲 3何川 3孙樱函 1赵成利 1王道清2
作者信息
- 1. 450004 郑州,河南中医药大学
- 2. 河南中医药大学第一附属医院放射科
- 3. 200233 上海杏脉信息科技有限公司
- 折叠
摘要
目的 探讨基于人工智能(AI)冠状动脉CT血管成像(CCTA)对冠状动脉狭窄的评估价值.方法 回顾性分析180 例拟诊为冠心病(CAD)患者并行CCTA及冠状动脉血管造影(ICA)检查的影像资料.采用上海杏脉公司CCTA-AI软件自动检测冠状动脉病变,以ICA为金标准,采用ROC曲线评估AI和医师对冠状动脉中、重度及以上诊断效能;采用Kappa一致性检验评价AI软件和医师对冠状动脉狭窄CAD-RADS分级及斑块性质的一致性.结果 AI及医师评估冠状动脉中、重度及以上狭窄曲线下面积(AUC)分别为0.808、0.858 和0.872、0.907,差异均无统计学意义(P>0.05).AI与 ICA及医师评估冠状动脉 CAD-RADS 分级的一致性均良好(Kappa 值分别为0.643和0.808).AI及医师评估斑块性质结果一致性良好(Kappa值为0.915,P<0.05).结论 AI对于冠状动脉病变的评估具有良好的诊断价值,可较好辅助临床诊断CAD.
Abstract
Objective To evaluate the value of coronary artery CT angiography(CCTA)based on artificial intelligence(AI)in the diagnosis of coronary artery stenosis.Methods The imaging data of 180 patients suspected of coronary artery disease(CAD)with CCTA and coronary angiography(ICA)were analyzed retrospectively.The CCTA-AI software of Aitrox Technology Corporation Limited was used to detect coronary artery disease automatically,and ICA was used as the gold standard to calculate the diagnostic efficacy of AI and physicians for more than moderate coronary artery stenosis and severe coronary artery stenosis by ROC curves.Kappa test was used to evaluate the consistency of AI software and the radiologists on CCTA-based coronary artery CAD-RADS scores and plaque nature.Results The AUCs for detection of more than mod-erate coronary stenosis and severe coronary stenosis by the AI software and the radiologists were 0.808,0.858,0.872 and 0.907,respectively.The difference of the AUCs between AI and radiologists were not significant(P>0.05).The agreement CAD-RADS scores were good between the AI software,ICA and radiologists(Kappa =0.643 and 0.808,respectively,both P<0.001).The results of agreement test of plaque nature evaluated by AI and physicians were good(Kappa =0.915,P<0.05).Conclusion The AI software has good performance in the diagnosis of coronary artery disease,so it is good for clinical diagnosis of CAD.
关键词
人工智能/CT血管成像/冠状动脉造影/冠状动脉粥样硬化/心血管影像Key words
Artificial intelligence/CT angiography/Coronary angiography/Coronary atherosclerosis/Cardiovascular imaging引用本文复制引用
基金项目
河南省中医药科学研究专项课题(20-21ZY1021)
出版年
2024
NETL
NSTL
万方数据