Evidence map›Paper›PMID 39811784›Full record

ArticleJournal of clinical & translational endocrinology2025

Can ACR TI-RADS predict the malignant risk of medullary thyroid cancer?

Ying Zhang, Bei-Bei Ye, Han-Xiang Wang, Bo-Ji Liu, Yun-Yun Liu, Qing Wei, Chuan Qin, Yi-Feng Zhang

Abstract read
In one paragraph

Article in Journal of clinical & translational endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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4 · The record

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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

8 authors.

Ying ZhangDepartment of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Bei-Bei YeDepartment of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Han-Xiang WangDepartment of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Bo-Ji LiuDepartment of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Yun-Yun LiuDepartment of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Qing WeiDepartment of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Chuan QinDepartment of Ultrasound, Karamay City Central Hospital, Xinjiang 834000, PR China.
Yi-Feng ZhangDepartment of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to evaluate the diagnostic performance for medullary thyroid cancer (MTC) based on the 2017 Thyroid Imaging Reporting and Data System by the American College of Radiology (ACR TI-RADS) guideline, and the ability to recommend fine needle aspiration (FNA) for MTC. Methods: Fifty-six MTCs were included, and 168 benign thyroid nodules (BTNs) and 168 papillary thyroid nodules (PTCs) were matched according to age. Ultrasound (US) features were reviewed according to ACR TI-RADS. US, clinical features and diagnostic performance of cytology of MTC, BTN and PTC were compared. Multivariate logistic regression analysis was performed to assess independent variables to predict MTC. Results: Multivariate logistic regression showed that position, hypoechoic, AP/T ratio ≥ 0.9 and marked internal blood flow were independent predictors of MTC compared to BTN (P < 0.05) and nodule sizes, AP/T ratio < 1, smooth or ill-defined margin and marked internal blood flow were independent predictors of MTC compared to PTC (P < 0.05). The area under the receiver operating characteristic (ROC) curve (AUC) of MTC based on ACR TI-RADS was inferior to that of PTC (0.687 vs 0.823) (P < 0.001). The recommended rate of FNA for MTC and PTC was 55.4 and 88.7 % respectively. 8 of 14 MTCs with negative FNA results (Bethesda II) had abnormal calcitonin (Ctn) results. Conclusions: Based on the ACR TI-RADS classification, the malignant risk features of MTC were intermediate between BTN and PTC. The diagnostic efficacy of MTC and FNA recommendation rate were inferior to PTC. Ctn examination would reduce the FNA missed diagnosis of MTC.

Indexed as

ACR TI-RADSFine needle aspirationMedullary thyroid carcinomaPapillary thyroid carcinomaUltrasound

Identifiers

PMID39811784
PMCPMC11732179

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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.