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01-11-2020 | Ultrasound | Position statement/Guideline

2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS

Authors: JianQiao Zhou, LiXue Yin, Xi Wei, Sheng Zhang, YanYan Song, BaoMing Luo, JianChu Li, LinXue Qian, LiGang Cui, Wen Chen, ChaoYang Wen, YuLan Peng, Qin Chen, Man Lu, Min Chen, Rong Wu, Wei Zhou, EnSheng Xue, YingJia Li, LiChun Yang, ChengRong Mi, RuiFang Zhang, Gang Wu, GuoQing Du, DaoZhong Huang, WeiWei Zhan, The Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound

Published in: Endocrine | Issue 2/2020

Abstract

Thyroid nodules are very common all over the world, and China is no exception. Ultrasound plays an important role in determining the risk stratification of thyroid nodules, which is critical for clinical management of thyroid nodules. For the past few years, many versions of TIRADS (Thyroid Imaging Reporting and Data System) have been put forward by several institutions with the aim to identify whether nodules require fine-needle biopsy or ultrasound follow-up. However, no version of TIRADS has been widely adopted worldwide till date. In China, as many as ten versions of TIRADS have been used in different hospitals nationwide, causing a lot of confusion. With the support of the Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association, the Chinese-TIRADS that is in line with China’s national conditions and medical status was established based on literature review, expert consensus, and multicenter data provided by the Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound.

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Title: 2020 Chinese guidelines for ultrasound malignancy risk stratification of thyroid nodules: the C-TIRADS
Authors: JianQiao Zhou
LiXue Yin
Xi Wei
Sheng Zhang
YanYan Song
BaoMing Luo
JianChu Li
LinXue Qian
LiGang Cui
Wen Chen
ChaoYang Wen
YuLan Peng
Qin Chen
Man Lu
Min Chen
Rong Wu
Wei Zhou
EnSheng Xue
YingJia Li
LiChun Yang
ChengRong Mi
RuiFang Zhang
Gang Wu
GuoQing Du
DaoZhong Huang
WeiWei Zhan
The Superficial Organ and Vascular Ultrasound Group of the Society of Ultrasound in Medicine of the Chinese Medical Association
The Chinese Artificial Intelligence Alliance for Thyroid and Breast Ultrasound
Publication date: 01-11-2020
Publisher: Springer US
Keywords: Ultrasound
Ultrasound
Published in: Endocrine / Issue 2/2020
Print ISSN: 1355-008X
Electronic ISSN: 1559-0100
DOI: https://doi.org/10.1007/s12020-020-02441-y

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