Correlation of Bethesda Categories in Thyroid Lesions With Histopathology: A Single Tertiary Care Center Experience
Sreenidhi Sreeram, Leena Dennis Joseph, Subalakshmi Balasubramanian

TL;DR
This study compares thyroid nodule classifications using the Bethesda system with actual histopathology results to assess diagnostic accuracy and cancer risk.
Contribution
The study provides a single-center analysis of thyroid lesion Bethesda categories' correlation with histopathology in a tertiary care setting.
Findings
Bethesda category IV showed the highest malignancy risk (50%) compared to established rates.
The study found higher malignancy risks in most Bethesda categories than previously reported.
Sensitivity of the current cytology assessments was 68.57%.
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…
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Taxonomy
TopicsThyroid Cancer Diagnosis and Treatment · Radiomics and Machine Learning in Medical Imaging · Thyroid and Parathyroid Surgery
