机构：[1]Department of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200025, China[2]Department of Biostatistics, Institute of Medical Sciences, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China[3]Department of Diagnostic and Therapeutic Ultrasound, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China[4]Department of Ultrasound, The First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China[5]Department of Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang 550001, China[6]Department of Ultrasound, The Third Affiliated Hospital Of Kunming Medical University, Yunnan Cancer Hospital, Kunming 650031, China[7]Department of Ultrasound Diagnostics, Tangdu Hospital, Fourth Military Medical University, Xi’an 710038, China[8]Department of Ultrasound, Affiliated Hospital of Yan’an University, School of Medicine, Yan’an University, Shanxi 716000, China[9]Department of Ultrasound, the first affiliated Hospital of Nanjing Medical University, NanJing 210029, China江苏省人民医院[10]Department of Abdominal Ultrasound, The fourth Clinical Medical Collegen, Xinjiang Medical University, Urumqi 830000, China[11]Department of ultrasound, Anyang tumor hospital, The Fourth Affiliated Hospital of Henan University of Science and Technology, Anyang 455000, China[12]Institute of Ultrasound in Medicine, The Affiliated Sichuan Provincial People’s Hospital of Electronic Science and Technology University of China, Chengdu 610071, China四川省人民医院
To establish a practical and simplified Chinese thyroid imaging reporting and data system (C-TIRADS) based on the Chinese patient database.
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.
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.
A relatively simple C-TIRADS was established using the counting value of positive and negative ultrasound features.
基金：
This study was supported by the project of
Shanghai municipal health and family planning commission (Grant
20174Y0069).
第一作者机构：[1]Department of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200025, China
通讯作者：
推荐引用方式(GB/T 7714)：
JianQiao Zhou,YanYan Song,WeiWei Zhan,et al.Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China.[J].ENDOCRINE.2020,doi:10.1007/s12020-020-02442-x.
APA：
JianQiao Zhou,YanYan Song,WeiWei Zhan,Xi Wei,Sheng Zhang...&LiXue Yin.(2020).Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China..ENDOCRINE,,
MLA：
JianQiao Zhou,et al."Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China.".ENDOCRINE .(2020)
