Evidence map›Paper›PMID 41246680›Full record

ArticleCureus2025

Correlation of Bethesda Categories in Thyroid Lesions With Histopathology: A Single Tertiary Care Center Experience.

Sreenidhi Sreeram, Leena Dennis Joseph, Subalakshmi Balasubramanian

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In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Sreenidhi SreeramPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Leena Dennis JosephPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Subalakshmi BalasubramanianPathology, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Thyroid nodules can be identified primarily through physical examination and history; however, there is no single test to evaluate a thyroid nodule, especially to assess the risk of malignancy (RoM). Hence, a triple assessment through clinical examination, radiological imaging with Thyroid Imaging Reporting and Data System (TIRADS) scoring, and fine needle aspiration cytology (FNAC) is done. The 2023 Bethesda System of Reporting Thyroid Cytology (TBSRTC) is used for the risk stratification of thyroid lesions by FNAC, which will help in management decisions. Materials and methods This is a retrospective cross-sectional study conducted at a tertiary care center in Chennai to compare and correlate 101 thyroid histopathology cases with their corresponding cytology smears over one year. The FNAC smears were categorized into one of the six categories according to TBSRTC. The performance of the thyroid cytology was assessed by calculating parameters such as specificity, sensitivity, and RoMs. The results of the study were then compared with the established RoM in TBSRTC and published literature. Results Among the 101 cases, 65 (64.35%) were benign and 36 (35.64%) were malignant. Papillary thyroid carcinoma (PTC) was the most common type of malignant tumor with 30 cases (83% of malignancies). Out of the six Bethesda categories, Bethesda category II (benign) had the least RoM (18%), but in comparison with the established rates of TBSRTC and other published studies, it was observed to have a higher RoM. Category III (atypia of unknown significance) has 12 cases, of which three were malignant with a RoM of 25%. Category IV (follicular neoplasm) had the most discordance from histopathology and had a higher RoM (50%) than the established TBSRTC rates. The sensitivity of the current study was 68.57%.  Conclusion The current study reveals higher RoMs than published studies. Maximum concordance between histology and cytology can be achieved by avoiding aggressive aspiration techniques, a few amendments to reporting criteria, making them less subjective, and periodic quality assurance procedures to improve the accuracy of diagnosis. Moreover, assistive and adjunct methods like immunocytochemistry and molecular testing can also be used in indeterminate lesions.

Indexed as

histopathological correlationthe bethesda system for reporting thyroid cytopathology (tbsrtc)thyroidthyroid cytologythyroid fnac

Identifiers

PMID41246680
PMCPMC12616198

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