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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:9, September, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(9): 3483-3494
DOI: https://doi.org/10.20546/ijcmas.2018.709.432


Nuclear Morphometric Study in Different Thyroid Lesions
Hend S.A. Abo Safia*, Samir N. Mina, Zeinab M.K. El-Guindy, Omnia M.K. Rizk and Dareen A.M. Ali
Pathology Department, Faculty of Medicine, Tanta University, Egypt
*Corresponding author
Abstract:

Thyroid diseases are common in the general population and usually presented as thyroid nodules. Most nodules are benign while thyroid cancer represents 5-24% of cases. Thyroid carcinoma is classified into PTC, FTC, ATC, and MTC. The aim of this study was to assess the role of morphometric study in the differentiation between benign and malignant thyroid lesions. Nuclear morphometry measurement was carried out on 90 different thyroid lesions (40 benign and 50 malignant). Morphometry was performed using 3 parameters (mean nuclear area, nuclear perimeter and maximal nuclear diameter). All 3 measured parameters were statistically significant as they were much higher in malignant lesions than benign lesions. Also, statistically significant correlation was found between follicular adenoma, FVPTC and follicular carcinoma. In benign lesions, Granulomatous thyroiditis had the lowest nuclear morphometric parameters while Hurthle cell adenoma had the highest parameters. Inn malignant tumors, PDTC and medullary carcinoma had the lowest measured parameters while anaplastic thyroid carcinoma had the highest. Nuclear morphometric measurements can aid in the differentiation between benign and malignant thyroid lesions especially follicular patterned lesions.


Keywords: Papillary thyroid carcinoma, PDTC, Nuclear morphometry, Mean nuclear area, Nuclear perimeter, Maximal nuclear diameter

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How to cite this article:

Hend S. A. Abo Safia, Samir N. Mina, Zeinab M. K. El-Guindy, Omnia M. K. Rizk and Dareen A. M. Ali. 2018. Nuclear Morphometric Study in Different Thyroid Lesions.Int.J.Curr.Microbiol.App.Sci. 7(9): 3483-3494. doi: https://doi.org/10.20546/ijcmas.2018.709.432
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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