A comparison between ACR TI-RADS and artificial intelligence TI-RADS regarding to diagnostic efficacy and ability to reduce unnecessary fine-needle aspiration cytology

VernacularTitle:ACR TI-RADS与基于人工智能的报告系统对甲状腺结节的诊断效能及减少不必要穿刺能力的比较
Author: Yuchun WANG ; Bin YANG ; Pengfei HUANG ; Yingdong XIE
From: Chinese Journal of Ultrasonography 2021;30(5):408-413
CountryChina
Language:Chinese
Abstract: Objective:To compare the diagnostic efficacy and ability of Thyroid Imaging Reporting Data System version (TI-RADS) of American College of Radiology (ACR) and artificial intelligence(AI) TI-RADS in diagnosis of thyroid nodules.Methods:A retrospective analysis was done on 266 patients(276 nodules) proved by ultrasound-guided fine-needle aspiration cytology (US-FNAC) in General Hospital of Eastern Theater Command from January to December 2019. The ROC curve of the two TI-RADS versions was drawn and the area under the curve (AUC) was calculated and compared.Results:AUCs of ACR TI-RADS and AI TI-RADS were 0.747 and 0.853. The sensitivity, specificity, positive predictive value and negative predictive value (96.62%, 62.50%, 74.87%, 94.12%) of AI TI-RADS were higher than ACR TI-RADS (95.27%, 44.53%, 66.51%, 89.06%). AI TI-RADS was able to avoid more unnecessary FNAC (71.74%) than ACR TI-RADS (67.03%).Conclusions:Both ACR TI-RADS and AI TI-RADS have good performances for differential diagnosis of thyroid nodules. AI TI-RADS is a more simple scoring system with better overall diagnostic performance and ability to exclude unnecessary FNAC with high negative predictive value than ACR TI-RADS.