Causes of Misdiagnosing Benign Pulmonary Nodules as High Risk Nodules by Artificial Intelligence
[Objective]To analyze the causes of misdiagnosing benign lung nodules as high-risk nodules by artificial intelligence(AI).[Methods]Imaging and pathological findings of 88 patients,who underwent biopsy or surgical treatment within 1 month after pulmonary nodules detected,were retrospectively analyzed.The pulmonary nodules on chest plain CT scan were evaluated by AI and radiologist physicians.Using pathologi-cal results as gold standard the diagnostic accuracy of both methods for pulmonary nodules was assessed,and the causes of misdiagnosing benign nodules as malignant by AI were analyzed.[Results]The pathological re-sults confirmed 59 malignant nodules and 29 benign nodules.The misdiagnosis rate of benign nodules was 82.8％(24/29)in AI method and 41.4％(12/29)in the manual method(McNemar x2 test P＜0.001).When be-nign nodules showed spiculation sign,lobulation sign,vascular convergence sign,bronchial truncation sign,vacuole sign and pleural traction sign,the misdiagnosis rate in the AI group was higher than that in the man-ual group(88.2％vs 64.7％,100.0％vs 66.7％,100.0％vs 80.0％,100.0％vs 66.7％,90.0％vs 60.0％).When the nodule showing benign trending signs such as calcification and fat density,the misdiagnosis rate in the AI group was also higher than that in the manual group(80.0％vs 20.0％,100.0％vs 0).[Conclusion]AI has some limitations in the evaluation of pulmonary nodules,particularly it has high misdiagnosis rate for be-nign nodules,indicating that AI needs to further improve its algorithm to reduce the probability of misdiagnosis.
万方数据
维普
