Evidence map›Paper›PMID 37656349›Full record

ArticleEndocrine2023

The diagnostic value of ultrasound on different-sized thyroid nodules based on ACR TI-RADS.

WeiMin Li, JunMin Chen, Feng Ye, Dong Xu, XiaoFang Fan, Chen Yang

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Article in Endocrine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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6 citing papers in PubMed.

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6 authors.

WeiMin LiDepartments of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, 214000, Jiangsu, PR China.
JunMin ChenDepartment of Ultrasonography, Hangzhou Linping District Traditional Chinese Medicine Hospital, Hangzhou, 311199, Zhejiang, PR China.
Feng YeSchool of nursing, Wuxi Medical College of Jiangnan University, Wuxi, 214000, Jiangsu, PR China.
Dong XuDepartment of Ultrasonography, Zhejiang Cancer Hospital, Hangzhou, 310022, Zhejiang, PR China.
XiaoFang FanDepartments of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, 214000, Jiangsu, PR China.
Chen YangDepartment of Ultrasonography, Zhejiang Cancer Hospital, Hangzhou, 310022, Zhejiang, PR China. yangchen@zjcc.org.cn.

Funding

Maternal and Child Health Promotion Project of Wuxi FYTG202103National Natural Science Foundation of China 82071946
6 · The paper itself

Abstract

objectivesThe thyroid nodule is one of the most common endocrine system diseases. Risk classification models based on ultrasonic features have been created by multiple professional societies, including the American College of Radiology (ACR), which published the Thyroid Imaging Reporting and Data System (TI-RADS) in 2017. The effect of the size in the diagnostic value of ultrasound remains not well defined. The purposes of our study aims to explore diagnostic value of the ACR TI-RADS on different-sized thyroid nodules.

methodsA total of 1183 thyroid nodules were selected from 952 patients with thyroid nodules confirmed by surgical pathology from January 2021 to October 2022. Based on the maximum diameters of the nodules, they were stratified into groups A ( ≤ 10 mm), B ( > 10 mm, < 20 mm) and C ( ≥ 20 mm). The ultrasonic features of the thyroid nodules in each group were evaluated and scored based on ACR TI-RADS, and the receiver operating characteristic curve (ROC) was plotted to determine the optimal cut-off value for the ACR TI-RADS scores and categories in each group. Finally, the diagnostic efficacy of ACR TI-RADS on different-sized thyroid nodules was analyzed.

resultsAmong the 1183 thyroid nodules, 340 were benign, 10 were low-risk and 833 were malignant. For the convenience of statistical analysis, low-risk thyroid nodules were classified as malignant in this study. The ACR TI-RADS scores and categorical levels of malignant thyroid nodules in each group were higher than those of benign ones (p < 0.05). The areas under the ROCs (AUCs) plotted based on scores were 0.741, 0.907, and 0.904 respectively in the three groups, and the corresponding optimal cut-off values were > 6 points, > 5 points and > 4 points respectively. While the AUCs of the ACR TI-RADS categories were 0.668, 0.855, and 0.887 respectively in each group, with the optimal cut-off values were all > TR4. Besides, for thyroid nodules of larger sizes, ACR TI-RADS exhibited weaker sensitivity with lower positive prediction value (PPV), but the specificity and negative prediction value (NPV) were both higher, presenting with statistically significant differences (p < 0.05).

conclusionFor thyroid nodules of different sizes, the diagnostic efficacy of ACR TI-RADS varies as well. The system shows better diagnostic efficacy on thyroid nodules of > 10 mm than on those ≤ 10 mm. Considering the favorable prognosis of thyroid microcarcinoma and the low diagnostic efficacy of ACR TI-RADS on it, the scoring and classification of thyroid micro-nodules can be left out in appropriate cases, so as to avoid the over-diagnosis and over-treatment of thyroid microcarcinoma to a certain extent.

Indexed as

Thyroid NoduleHumansRetrospective StudiesROC CurveUltrasonographyACR TI-RADSSizeThyroid nodulesUltrasonography

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