机构：[1]Department of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China. zhousu30@126.com.[2]Department of Biostatistics, Institute of Medical Sciences, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China. syyssmu@126.com.[3]Department of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China. shanghairuijinus@163.com.[4]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.[5]Department of Ultrasound, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China.[6]Department of Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, China.[7]Department of Ultrasound, The Third Affiliated Hospital Of Kunming Medical University, Yunnan Cancer Hospital, Kunming, 650031, China.[8]Department of Ultrasound Diagnostics, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.[9]Department of Ultrasound, Affiliated Hospital of Yan'an University, School of Medicine, Yan'an University, Shanxi, 716000, China.[10]Department of Ultrasound, the first affiliated Hospital of Nanjing Medical University, NanJing, 210029, China.江苏省人民医院[11]Department of Abdominal Ultrasound, The fourth Clinical Medical Collegen, Xinjiang Medical University, Urumqi, 830000, China.[12]Department of ultrasound, Anyang tumor hospital, The Fourth Affiliated Hospital of Henan University of Science and Technology, Anyang, 455000, China.[13]Department of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.[14]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：
Shanghai municipal health and family planning commission [20174Y0069]
第一作者机构：[1]Department of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China. zhousu30@126.com.
推荐引用方式(GB/T 7714)：
Zhou JianQiao,Song YanYan,Zhan WeiWei,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：
Zhou JianQiao,Song YanYan,Zhan WeiWei,Wei Xi,Zhang Sheng...&Yin LiXue.(2020).Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China..ENDOCRINE,,
MLA：
Zhou JianQiao,et al."Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China.".ENDOCRINE .(2020)
