Abstract
Objective:To investigate the value of ultrasound artificial intelligence(AI)assisted diagnosis system in the differential diagnosis of benign and malignant thyroid nodules.Methods:217 patients(428 nodules),59 males and 158 females,aged 19-75 years,with a mean(47±13)years,who underwent routine ultrasonography of the thyroid gland at the Second Affiliated Hospital of Shantou University Medical College,from November 2021 to February 2022,were selected.There were 77 patients(162 nodules),17 males and 60 females,aged 19-75 years with a mean of(47±13)years,with pathologic confirmation.The benign and malignant nature of thyroid nodules was assessed using the thyroid imaging reporting and data system of the American College of Radiology,and the accuracy of the 428 thyroid nodules assessed before and after combined AI-assisted diagnosis by resident physician was compared,using the results of the center's film-reading specialists as the standard.The sensitivity,specificity,accuracy,and area under the receiver operator characteristic curve(AUC)of 162 nodules assessed by the resident physician,resident physician+AI,attending physician,center's reading specialists,and AI groups were compared using the pathology results as the gold standard.Results:428 thyroid nodules were diagnosed by residents with an accuracy of 88.32%(378/428)using the evaluation results of the center film-reading specialists as the standard,and the accuracy increased to 94.86%(406/428)after the combined ultrasound AI diagnostic system,with a statistically significant difference(χ2=11.89,P=0.001).162 thyroid nodules were diagnosed by the gold standard of pathological findings,with sensitivities of 43.90%,78.05%,75.61%,75.61%,and accuracies of 67.28%,84.57%,85.80%,and 84.57%for the resident,attending physician,center film-reading specialist,and AI groups,respectively.The sensitivity of the resident's diagnosis with the assistance of the ultrasound AI diagnostic system increased to 78.05%and the accuracy increased to 82.72%,and none of the differences were statistically significant when compared with the attending physician,the center reading specialist,and the AI group(P>0.05).The AUC of the resident,resident+AI,attending physician,center film-reading expert,and AI groups were 0.596,0.812,0.824,0.816,and 0.816,respectively.The diagnostic efficacy of the resident group was significantly improved with the assistance of the ultrasound AI diagnostic software,and none of the differences were statistically significant(P>0.05)when comparing with the attending physicians,and center film-reading expert group.Conclusion:Ultrasound AI-assisted diagnostic systems have high value in the diagnosis of benign and malignant thyroid nodules and can improve the diagnostic efficacy of residents.关键词
甲状腺结节/超声检查/甲状腺影像报告与数据系统/人工智能Key words
thyroid nodule/ultrasonography/thyroid imaging reporting and data system/artificial intelligence分类
医药卫生
