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

JianQiao Zhou¹, YanYan Song², WeiWei Zhan³, Xi Wei⁴, Sheng Zhang⁴, RuiFang Zhang⁵, Ying Gu⁶, Xia Chen⁶, Liying Shi⁶, XiaoMao Luo⁷, LiChun Yang⁷, QiaoYing Li⁸, BaoYan Bai⁹, XinHua Ye¹⁰, Hong Zhai¹¹, Hua Zhang¹², XiaoHong Jia¹³, YiJie Dong¹³, JingWen Zhang¹³, ZhiFang Yang¹³, HuiTing Zhang¹³, Yi Zheng¹³, WenWen Xu¹³, LiMei Lai¹³, LiXue Yin¹⁴; Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of Chinese Medical Association; Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound

Collaborators, Affiliations

Collaborators

Bao Ming Luo, Bei Jian Huang, ChaoYang Wen, ChengRong Mi, DaoZhong Huang, EnSheng Xue, Gang Wu, GuoQing Du, HaiTao Ran, HuiJuan Xiang, JiaAn Zhu, Jian Wang, JianChu Li, Jie Tang, Jing Li, JingChun Yang, Lei Zhang, LiGang Cui, LingYun Bao, LiXue Yin, Man Lu, Mei Zhu, Min Chen, Nima Yuzhen, PengFei Zhang, Rong Wu, RuiJun Guo, ShaoYun Hao, ShiBao Fang, Tao Chen, WeiWei Zhan, Ying Zhu, YingJia Li, YongPing Lu, YouBin Deng, YuanYi Zheng, Yue Chen, YuKun Luo, YuLan Peng, Bai BaoYan, Cai YuanJin, Chang Xin, Che Guihua, Chen Fu, Chen hongTian, Chen hongYan, Chen hongYan, Chen huiPin, Chen Jiehuan, Chen nianQiao, Chen Wu, Chen Xinguang, Chen XiuPing, Cui Guanghe, Dai LiPing, Deng XueDong, Dong LiLi, Du Gang, Fang Chao, Fang FengKai, Fei ZhengDong, Feng LiLi, Fu Jian, Guan Ling, Guo JianQin, Han Wen, He Nianan, He ShaoZheng, He XueMei, Hou AiQin, Hu Jie, Hu LiYan, Huang DingWei, Huang JianYuan, Huang Li, Huang PeiPei, Huang WeiWei, Jia LiQiong, Jiang Xinhui, Kang huiLi, Kong XiangChong, Lei XiaoQing, Li AnYang, Li Chen, Li Cheng, Li ChuanYin, Li Dong, Li HaiYan, Li hongMei, Li huiWen, Li JianXin, Li Ning, Li QiaoYing, Li QinYing, Li Tao, Li WenDong, Li XingYun, Li Zhao, Liang GuoSheng, Lin Jie, Liu Aihua, Liu HongMin, Liu Jia, Liu Kun, Liu YanChao, Lou KeXin, Lu YeJun, Mao Feng, Miao Juan, Ni XueJun, Pan XiaoJie, Pang Yun, Peng Mei, Peng ZhenYi, Pi YanMin, Qi TingYue, Qin QianMiao, Qing Shunhua, Qu JianFeng, Ren Jinhe, Renagu Li aiSha, Ru RongRong, Shen Tao, Shi HongWei, Shi Jie, Shi LiYing, Shou JinDuo, Song LinLin, Su DeMin, Sun AnYi, Sun Zhuogui, Tang Binhui, Tang Li Na, Wan Qing, Wang Fang, Wang Fang, Wang Jing, Wang JinPing, Wang Li, Wang Wei, Wang XinFang, Wang YaLi, Wang YanBin, Wang YanQing, Wang YanZhen, Wang YingChun, Wang YuanSheng, Wang ZhaoRui, Wu ChangJun, Wu HaiYan, Wu Jing, Wu JinYu, Wu Liang, Wu LinSong, Wu Qing, Wu Tao, Wu Ting, Wu Ting, Wu WenJing, Wu ZhiLing, Wu ZhongQiu, Xiao LiFang, Xie ChuanWen, Xie Xiaohong, Xu Quan, Xue Dan, Yan JingBin, Yan JiPing, Yang JianQing, Yang Jie, Yang QingYa, Yang XiaoQing, Yang XueWen, Yang Yan, Yang YingMei, Yang Yinguang, Ye Xinhua, Ye YuQuan, You Tao, Yu Liang, Yu XiaoQin, Yuan Hui, Yuan Zhihong, Ze Liang, Zeng Shue, Zhang Hui, Zhang Jian, Zhang JianLei, Zhang LiJuan, Zhang LiLi, Zhang Na, Zhang PanPan, Zhang QunXia, Zhang Tong, Zhang WenJun, Zhang XiaoDong, Zhang Yan, Zhang Yan, Zhang Yuhong, Zhang Yuhua, Zhang YunFei, Zhang ZiZhen, Zhao Feng, Zhao Li, Zhao Yu, Zhou Hong, Zhou JianQiao, Zhou Na, Zhou Peng, Zhou Ruhai, Zhou XianLi, Zhou YiBo, Zhu Bin, Zhu LiSha, Zhu Zheng, Zou Bao

Affiliations

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.
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.

PMID: 32852733
DOI: 10.1007/s12020-020-02442-x

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

JianQiao Zhou et al. Endocrine. 2021 Apr.

. 2021 Apr;72(1):157-170.

doi: 10.1007/s12020-020-02442-x. Epub 2020 Aug 27.

Authors

Collaborators

Bao Ming Luo, Bei Jian Huang, ChaoYang Wen, ChengRong Mi, DaoZhong Huang, EnSheng Xue, Gang Wu, GuoQing Du, HaiTao Ran, HuiJuan Xiang, JiaAn Zhu, Jian Wang, JianChu Li, Jie Tang, Jing Li, JingChun Yang, Lei Zhang, LiGang Cui, LingYun Bao, LiXue Yin, Man Lu, Mei Zhu, Min Chen, Nima Yuzhen, PengFei Zhang, Rong Wu, RuiJun Guo, ShaoYun Hao, ShiBao Fang, Tao Chen, WeiWei Zhan, Ying Zhu, YingJia Li, YongPing Lu, YouBin Deng, YuanYi Zheng, Yue Chen, YuKun Luo, YuLan Peng, Bai BaoYan, Cai YuanJin, Chang Xin, Che Guihua, Chen Fu, Chen hongTian, Chen hongYan, Chen hongYan, Chen huiPin, Chen Jiehuan, Chen nianQiao, Chen Wu, Chen Xinguang, Chen XiuPing, Cui Guanghe, Dai LiPing, Deng XueDong, Dong LiLi, Du Gang, Fang Chao, Fang FengKai, Fei ZhengDong, Feng LiLi, Fu Jian, Guan Ling, Guo JianQin, Han Wen, He Nianan, He ShaoZheng, He XueMei, Hou AiQin, Hu Jie, Hu LiYan, Huang DingWei, Huang JianYuan, Huang Li, Huang PeiPei, Huang WeiWei, Jia LiQiong, Jiang Xinhui, Kang huiLi, Kong XiangChong, Lei XiaoQing, Li AnYang, Li Chen, Li Cheng, Li ChuanYin, Li Dong, Li HaiYan, Li hongMei, Li huiWen, Li JianXin, Li Ning, Li QiaoYing, Li QinYing, Li Tao, Li WenDong, Li XingYun, Li Zhao, Liang GuoSheng, Lin Jie, Liu Aihua, Liu HongMin, Liu Jia, Liu Kun, Liu YanChao, Lou KeXin, Lu YeJun, Mao Feng, Miao Juan, Ni XueJun, Pan XiaoJie, Pang Yun, Peng Mei, Peng ZhenYi, Pi YanMin, Qi TingYue, Qin QianMiao, Qing Shunhua, Qu JianFeng, Ren Jinhe, Renagu Li aiSha, Ru RongRong, Shen Tao, Shi HongWei, Shi Jie, Shi LiYing, Shou JinDuo, Song LinLin, Su DeMin, Sun AnYi, Sun Zhuogui, Tang Binhui, Tang Li Na, Wan Qing, Wang Fang, Wang Fang, Wang Jing, Wang JinPing, Wang Li, Wang Wei, Wang XinFang, Wang YaLi, Wang YanBin, Wang YanQing, Wang YanZhen, Wang YingChun, Wang YuanSheng, Wang ZhaoRui, Wu ChangJun, Wu HaiYan, Wu Jing, Wu JinYu, Wu Liang, Wu LinSong, Wu Qing, Wu Tao, Wu Ting, Wu Ting, Wu WenJing, Wu ZhiLing, Wu ZhongQiu, Xiao LiFang, Xie ChuanWen, Xie Xiaohong, Xu Quan, Xue Dan, Yan JingBin, Yan JiPing, Yang JianQing, Yang Jie, Yang QingYa, Yang XiaoQing, Yang XueWen, Yang Yan, Yang YingMei, Yang Yinguang, Ye Xinhua, Ye YuQuan, You Tao, Yu Liang, Yu XiaoQin, Yuan Hui, Yuan Zhihong, Ze Liang, Zeng Shue, Zhang Hui, Zhang Jian, Zhang JianLei, Zhang LiJuan, Zhang LiLi, Zhang Na, Zhang PanPan, Zhang QunXia, Zhang Tong, Zhang WenJun, Zhang XiaoDong, Zhang Yan, Zhang Yan, Zhang Yuhong, Zhang Yuhua, Zhang YunFei, Zhang ZiZhen, Zhao Feng, Zhao Li, Zhao Yu, Zhou Hong, Zhou JianQiao, Zhou Na, Zhou Peng, Zhou Ruhai, Zhou XianLi, Zhou YiBo, Zhu Bin, Zhu LiSha, Zhu Zheng, Zou Bao

Affiliations

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.
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.

PMID: 32852733
DOI: 10.1007/s12020-020-02442-x

Abstract

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.

Keywords: Biopsy; Diagnostic imaging; Fine-needle; Risk assessment; Thyroid nodule; Ultrasonography.

PubMed Disclaimer

References

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

Collaborators

Affiliations

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

Authors

Collaborators

Affiliations

Abstract

References

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Medical