Introduction: According to the World Health Organization's classification of endocrine tumors, papillary thyroid carcinoma (PTC) accounts for almost 90 % of malignant thyroid neoplasms. This study aimed to create a point system based on cytomorphological criteria for evaluating FNA products from thyroid nodules to predict the risk of papillary thyroid carcinomas.
Methods: This was an analytical observational study based on a retrospective analysis of cytological reports and surgical specimens from January 1, 2016, to December 31, 2021. Cytological slides were analyzed using the following ten variables: Nuclear Grooves; Intranuclear Pseudoinclusion; Cellularity; Colloid (Quantity); Clarified Chromatin; Overlapping nuclei; Irregular Nuclear Membrane; Multinucleated Giant Cells; Psamoma bodies; and Papillae. We categorized these variables quantitatively from zero to three points as follows: zero (absent), one (mild), two (moderate), and three (intense).
Results: Cytologies of 254 (4.9 %) cases were analyzed. The cut-off point was defined in this study as 6 ± 1 points. For the prediction of cases in benign, values < 5 points, malignant, values > 7 points and indeterminate, 5-7 points. Among the benign, there were 64 (69.5 %) cases <5 points, 17 (18.4 %) from 5 to 7 points and 11 (11.9 %) >7 points. Among the malignant ones, there were 12 (8.6 %) cases <5 points, 19 (13.6 %) from 5 to 7 points and 108 (77.6) >7 points.
Conclusion: In this context, through the quantitative analysis of the ten suggested cytological variables, scored from 0 to 3, a final score > 7 is suspicious for malignancy, while a score < 5 is related to benign lesions.
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