Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China.

Autor: Zhou, JianQiao, Song, YanYan, Zhan, WeiWei, Wei, Xi, Zhang, Sheng, Zhang, RuiFang, Gu, Ying, Chen, Xia, Shi, Liying, Luo, XiaoMao, Yang, LiChun, Li, QiaoYing, Bai, BaoYan, Ye, XinHua, Zhai, Hong, Zhang, Hua, Jia, XiaoHong, Dong, YiJie, Zhang, JingWen, Yang, ZhiFang
Zdroj: Endocrine (1355008X); Apr2021, Vol. 72 Issue 1, p157-170, 14p
Abstrakt: Purpose: To establish a practical and simplified Chinese thyroid imaging reporting and data system (C-TIRADS) based on the Chinese patient database. Methods: A total of 2141 thyroid nodules that were neither cystic nor spongy were used in the current study. These specimens were derived from 2141 patients in 131 alliance hospitals of the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound. The ultrasound features, including location, orientation, margin, halo, composition, echogenicity, echotexture, echogenic foci and posterior features were assessed. Univariate and multivariate analyses were performed to investigate the association between ultrasound features and malignancy. The regression equation, the weighting, and the counting methods were used to determine the malignant risk of the thyroid nodules. The areas under the receiver operating characteristic curve (Az values) were calculated. Results: Of the 2141 thyroid nodules, 1572 were benign, 565 were malignant, and 4 were borderline. Vertical orientation, ill-defined, or irregular margin (including extrathyroidal extension), microcalcifications, solid, and markedly hypoechoic were positively associated with malignancy, while comet-tail artifacts were negatively associated with malignancy. The logistic regression equation yielded the highest Az value of 0.913, which was significantly higher than that obtained using the weighting method (0.893) and the counting method (0.890); however, no significant difference was found between the latter two. The C-TIRADS, based on the counting method, was designed following the principle of balancing the diagnostic performance and sensitivity of the risk stratification with the ease of use. Conclusions: A relatively simple C-TIRADS was established using the counting value of positive and negative ultrasound features. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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