Cyto-Histomorphological Analysis of Thyroid Lesions and Risk Assessment of Malignancy/Neoplasia: Insights From a North Indian Tertiary Oncology Center
Sadaf Haiyat, Zachariah Chowdhury, Paramita Rudra Pal, Shashikant Patne, Ipsita Dhal, Paramita Paul

TL;DR
This study analyzes thyroid nodules using a standardized system to assess the risk of malignancy and evaluates the accuracy of diagnostic methods at an Indian cancer center.
Contribution
The study provides updated malignancy risk estimates for each Bethesda category in a North Indian oncology setting.
Findings
Category VI had the highest malignancy risk at 100%, followed by Category V at 97%.
FNAC showed high sensitivity (98%) but moderate specificity (64%) in diagnosing thyroid lesions.
Papillary thyroid carcinoma was the most common malignancy observed in the study.
Abstract
Background Thyroid nodules, whether benign or malignant, are commonly identified as palpable or incidental findings. Accurate diagnosis is critical, with fine-needle aspiration cytology (FNAC) playing a crucial role in distinguishing between benign and malignant lesions. The Bethesda System for Reporting Thyroid Cytopathology (BSRTC) standardizes FNAC reporting and estimates the risk of malignancy (ROM), aiding treatment decisions. This study aims to determine the risk of malignancy for each category of the Bethesda System and to evaluate the sensitivity and specificity of FNAC in diagnosing thyroid swellings. Methodology Clinicopathological data of thyroid FNAC and corresponding thyroid resection cases, collected over four years at the Department of Oncopathology, Mahamana Pandit Madan Mohan Malviya Cancer Centre and Homi Bhabha National Institute, Varanasi, were analyzed. Results…
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Taxonomy
TopicsThyroid Cancer Diagnosis and Treatment · Biomarkers in Disease Mechanisms · Radiomics and Machine Learning in Medical Imaging
