冠状动脉CT血管成像中人工智能诊断冠心病的准确性

目的 观察冠状动脉CT血管成像(CCTA)中人工智能(AI)诊断冠心病(CHD)的准确性.方法 回顾性分析105例临床拟诊CHD患者间隔2周内CCTA及有创冠状动脉造影(ICA)资料.以ICA结果为金标准,分别以患者、冠状动脉及其节段为单位,计算AI判断冠状动脉狭窄程度≥50％的敏感度、特异度、阳性预测值、阴性预测值和...

Diagnostic accuracy of artificial intelligence for coronary heart disease in coronary CT angiography

Objective To explore the accuracy of artificial intelligence(AI)in diagnosis of coronary heart disease(CHD)in coronary artery CT angiography(CCTA).Methods Data of coronary artery imaging of 105 patients with suspected CHD undergoing CCTA and invasive coronary angiography(ICA)within 2 weeks,and the latter was taken as gold standard.The sensitivity,specificity,positive predictive value,negative predictive value and accuracy of AI for diagnosing coronary artery stenosis≥50%were calculated.The consistency between AI and ICA results was observed.Results①At the patient level,the sensitivity,specificity,positive predictive value,negative predictive value and accuracy of AI for diagnosing CHD was 97.92%(94/96),66.67%(6/9),96.91%(94/97),75.00%(6/8)and 95.24%(100/105),respectively.②At the level of coronary arteries,the sensitivity,specificity,positive predictive value,negative predictive value and accuracy was 91.05%(173/190),98.26%(226/230),97.74%(173/177),93.00%(226/243)and 95.00%(399/420),respectively.③At the lesion segment level,the sensitivity,specificity,positive predictive value,negative predictive value and accuracy was 83.90%(224/267),97.67%(1215/1244),88.54%(224/253),96.58%(1215/1258)and 95.23%(1439/1511),respectively.The consistency between AI and ICA was good at patient level and segment level(Kappa=0.68,0.90),better at coronary artery level(Kappa=0.83,all P<0.001).Conclusion When the quality of CCTA imaging was good and AI could correctly identify coronary artery tree,AI had good diagnostic accuracy,which could be used as an auxiliary tool for CHD.