Evidence map›Paper›PMID 32852733›Full record

ArticleEndocrine2021

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

JianQiao Zhou, YanYan Song, WeiWei Zhan, Xi Wei, Sheng Zhang, RuiFang Zhang, Ying Gu, Xia Chen, Liying Shi, XiaoMao Luo and 17 more

Abstract read
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In one paragraph

Article in Endocrine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Do thyroid nodules in the isthmus carry a higher risk of malignancy? A systematic review and meta-analysis.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

JianQiao ZhouDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China. zhousu30@126.com.
YanYan SongDepartment of Biostatistics, Institute of Medical Sciences, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China. syyssmu@126.com.
WeiWei ZhanDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China. shanghairuijinus@163.com.
Xi WeiDepartment 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.
Sheng ZhangDepartment 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.
RuiFang ZhangDepartment of Ultrasound, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China.
Ying GuDepartment of Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, China.
Xia ChenDepartment of Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, China.
Liying ShiDepartment of Ultrasound, Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, China.
XiaoMao LuoDepartment of Ultrasound, The Third Affiliated Hospital Of Kunming Medical University, Yunnan Cancer Hospital, Kunming, 650031, China.
LiChun YangDepartment of Ultrasound, The Third Affiliated Hospital Of Kunming Medical University, Yunnan Cancer Hospital, Kunming, 650031, China.
QiaoYing LiDepartment of Ultrasound Diagnostics, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
BaoYan BaiDepartment of Ultrasound, Affiliated Hospital of Yan'an University, School of Medicine, Yan'an University, Shanxi, 716000, China.
XinHua YeDepartment of Ultrasound, the first affiliated Hospital of Nanjing Medical University, NanJing, 210029, China.
Hong ZhaiDepartment of Abdominal Ultrasound, The fourth Clinical Medical Collegen, Xinjiang Medical University, Urumqi, 830000, China.
Hua ZhangDepartment of ultrasound, Anyang tumor hospital, The Fourth Affiliated Hospital of Henan University of Science and Technology, Anyang, 455000, China.
XiaoHong JiaDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
YiJie DongDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
JingWen ZhangDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
ZhiFang YangDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
HuiTing ZhangDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
Yi ZhengDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
WenWen XuDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
LiMei LaiDepartment of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200025, China.
LiXue YinInstitute of Ultrasound in Medicine, The Affiliated Sichuan Provincial People's Hospital of Electronic Science and Technology University of China, Chengdu, 610071, China.
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

Funding

the project of Shanghai municipal health and family planning commission 20174Y0069
6 · The paper itself

Abstract

purposeTo establish a practical and simplified Chinese thyroid imaging reporting and data system (C-TIRADS) based on the Chinese patient database.

methodsA 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.

resultsOf 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.

conclusionsA relatively simple C-TIRADS was established using the counting value of positive and negative ultrasound features.

Indexed as

Thyroid NeoplasmsThyroid NoduleArtificial IntelligenceChinaHumansRetrospective StudiesRisk AssessmentUltrasonographyBiopsyDiagnostic imagingFine-needleRisk assessmentThyroid noduleUltrasonography

Identifiers

PMID32852733

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.