Comparative analysis of C-TIRADS and ACR-TIRADS in the diagnostic efficiency of thyroid nodules
10.3760/cma.j.cn115624-20210513-00268
- VernacularTitle:C-TIRADS与ACR-TIRADS在甲状腺结节诊断效能中的对比分析
- Author:
Bo GAO
1
;
Jinjin LIU
;
Xiaoming XU
;
Xiaoqing WANG
;
Wenyue LI
;
Jianqun ZHOU
;
Juan LIU
;
Jingjun HE
Author Information
1. 广东省第二人民医院健康管理科，广州 510317
- Keywords:
Thyroid nodule;
Chinese Thyroid Imaging Reporting and Data System;
American College of Radiology Thyroid Imaging Reporting and Data System
- From:
Chinese Journal of Health Management
2022;16(3):175-179
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the diagnostic efficiency of the 2020 Chinese Thyroid Imaging Reporting and Data System (C-TIRADS) and the 2017 American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) in the diagnosis of benign and malignant thyroid nodules.Methods:A retrospective analysis of the two-dimensional ultrasound image results of 324 thyroid nodules in 289 patients with thyroid nodules and thyroid nodules were performed in the physical examination of the Health Management Department of the Guangdong Second Provincial General Hospital from January 2018 to January 2019. A superficial professional doctor with a senior professional title simultaneously uses the C-TIRADS and ACR-TIRADS methods to evaluate the above nodules. The results are all pathologically referenced for the χ2 test and the receiver operating characteristic curve is drawn. Results:The sensitivity of C-TIRADS in diagnosing benign and malignant thyroid nodules was 81.90%, specificity was 97.72%, accuracy was 92.59%, negative predictive value was 91.85%, positive predictive value was 84.51%; ACR-TIRADS diagnosis The sensitivity of benign and malignant thyroid nodules was 59.05%, specificity was 99.54%, accuracy was 86.42%, negative predictive value was 83.52%, and positive predictive value was 98.41%. The area under the ROC curve was 0.958 and 0.935( Z=2.31 P=0.021). Conclusion:C-TIRADS classification based on counting method is better than ACR-TIRADS classification based on sub-method in the diagnosis of thyroid nodules. It has better efficacy and is more suitable for the current status of diagnosis and treatment of thyroid nodules in China.
