A comparison between ACR TI-RADS and artificial intelligence TI-RADS regarding to diagnostic efficacy and ability to reduce unnecessary fine-needle aspiration cytology / 中华超声影像学杂志

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.