Value of artificial intelligence in the assisted diagnosis of coronary artery CT A disease
Objective To evaluate the value of artificial intelligence(AI)in the diagnosis of coronary artery CTA(CCTA).Methods The clinical data and imaging data of 160 patients suspected of coronary artery disease(CAD)with CCTA and coronary angiography(CAG)were analyzed retrospectively.The image analysis results of CCTA and AI software were compared and ana-lyzed to calculate the diagnostic effectiveness of AI and radiologists on the degree of coronary artery stenosis and the data process-ing time.To evaluate plaque properties and length by AI and radiologists based on CCTA images.Results ① Taking CAG as gold standard,The AUC values of AI in the diagnosis of mild,moderate and severe coronary artery stenosis were 0.8,0.85 and 0 89,the sensitivity was 85.8％,90.2％and 91.6％,and the specificity was 79.1％,82.4％and 86.6％,respectively,The AUC values of radiologists in the diagnosis of mild,moderate and severe coronary artery stenosis were 0.83,0.88 and 0.90,respectively.The sensitivity was 87.2％,91.8％and 92.9％,and the specificity was 81.7％,80.7％and 85.8％,respectively,There was no no sta-tistical difference between AI and radiologistś in AUC value,sensitivity and specificity(P＞0.05).② The results of AI and radi-ologists on plaque properties were consistent(Kappa value was 0.804,P＜0.05),which had no statistical differences(P＞0.05).③ Al-assisted software automatically reconstructed and analyzed CCTA images and generated reports,which took about 3％of the manual time.Conclusion AI-assisted diagnosis has good evaluation of plaque properties and length,and can significantly short-en the time of image processing and report generation,which is a good tool to assist radiologists in the diagnosis of CCTA lesions.
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