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Research Journal of Medical Sciences

ISSN: Online 1993-6095
ISSN: Print 1815-9346
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Utility of Computerized Nuclear Morphometry in Diagnosis of Various Thyroid Lesions with Special Attention to Papillary Thyroid Carcinoma

Sonali B. Totod, Shailesh Vartak, Urmi Chakravarty Vartak and Atish Komwad
Page: 160-164 | Received 20 Dec 2024, Published online: 21 Jan 2025

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https://doi.org/10.36478/10.36478/makrjms.2025.2.160.164

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Abstract

The study evaluated the utility of computerized nuclear morphometry in differentiating various thyroid lesions, with special attention to papillary thyroid carcinoma (PTC). Nuclear morphometric analysis was performed on 248 thyroid lesions using a semi‐automated system. Eight parameters were measured in 100 nuclei per case. Statistical analysis included ROC curves, sensitivity, specificity and diagnostic accuracy calculations. The study included 31PTCs, 31FVPTCs, 2FCs, 18FAs, 149 multinodular goiters, and 17 thyroiditis cases. PTC showed significantly higher nuclear area (50.4±16.1 μm²) and Form AR (54.4±18.6) compared to other lesions (p<0.0001). Nuclear area demonstrated excellent diagnostic performance (AUC: 0.896, 95% CI: 0.891‐0.901) in differentiating PTC. The optimal cut‐off value of 35.45 μm² yielded 81.2% sensitivity and 80.0% specificity. NACV% showed distinctive patterns in differentiating inflammatory from neoplastic conditions (39.05±6.74% vs 13.9±1.37%, p<0.0001). Nuclear morphometry provides objective criteria for thyroid lesion differentiation, with particular utility in PTC diagnosis. The established cut‐off values and diagnostic performance metrics support its use as an adjunct diagnostic tool in thyroid pathology.

How to cite this article:

Sonali B. Totod, Shailesh Vartak, Urmi Chakravarty Vartak and Atish Komwad. Utility of Computerized Nuclear Morphometry in Diagnosis of Various Thyroid Lesions with Special Attention to Papillary Thyroid Carcinoma.
DOI: https://doi.org/10.36478/10.36478/makrjms.2025.2.160.164
URL: https://www.makhillpublications.co/view-article/1815-9346/10.36478/makrjms.2025.2.160.164