Evidence map›Paper›PMID 42661354›Full record

ArticleCancer medicine2026

Adjusted Risk Stratification of Indeterminate Thyroid Nodules Using the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS).

Jessica Zhao, Rita Abi-Raad, Sara I Pai, Jonathan Langdon, Minhua Wang, Guoping Cai, John Sinard, Adebowale J Adeniran, Sanhong Yu

Abstract read
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Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jessica ZhaoDepartment of Pathology, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-1323-2030
Rita Abi-RaadDepartment of Pathology, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-2040-1146
Sara I PaiDepartment of Otolaryngology Surgery, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-6341-9971
Jonathan LangdonDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-6444-7237
Minhua WangDepartment of Pathology, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-2283-7050
Guoping CaiDepartment of Pathology, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-8725-5940
John SinardDepartment of Pathology, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-8739-517X
Adebowale J AdeniranDepartment of Pathology, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-9820-632X
Sanhong YuDepartment of Pathology, School of Medicine, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0009-0004-5888-3210

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe TI-RADS guides the initial management of thyroid nodules, but the malignancy risk across different categories of cytologically indeterminate thyroid nodules (CITNs), particularly AUS and FN, remains unclear.

methodsWe reviewed thyroid FNA specimens diagnosed as AUS or FN with TI-RADS scores of 3, 4, or 5 from 2017 to 2025. Clinical data, molecular results, and surgical outcomes were analyzed.

resultsA total of 919 CITNs were identified: 304 with TI-RADS 3, 454 with TI-RADS 4, and 161 with TI-RADS 5. In the absence of molecular alterations, the risk of malignancy (ROM) was low for AUS and FN in both TI-RADS 3 and 4 categories (< 10%). In contrast, TI-RADS 5 nodules diagnosed as AUS or FN had the highest ROM (56%). ROM similarly increased with the TI-RADS score. For AUS, ROM was 14% (TI-RADS 3), 31% (TI-RADS 4), and 60% (TI-RADS 5). For FN, ROM increased from 26% to 44% to 57% across TI-RADS 3, 4, and 5, respectively. Notably, even AUS nodules without detectable mutations had a high ROM of 44% in TI-RADS 5, compared to 10% and 15% in TI-RADS 3 and 4, respectively.

conclusionOur findings demonstrate distinctive ROMs among AUS and FN stratified by TI-RADS category and underscore the variable utility of molecular testing. TI-RADS 5 CITNs carry a significantly higher ROM even in the absence of molecular alterations, suggesting the importance of combining TI-RADS and TBSRTC.

Indexed as

Radiology Information SystemsThyroid NeoplasmsThyroid NoduleAdultAgedBiopsy, Fine-NeedleFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentThyroid GlandUnited Statescytologyhistologymolecular studyrisk of malignancyTI‐RADS

Identifiers

PMID42661354
PMCPMC13522632

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