Original Article
Author Details :
Volume : 7, Issue : 2, Year : 2020
Article Page : 273-278
https://doi.org/10.18231/j.ijpo.2020.052
Abstract
Introduction: The Bethesda system of thyroid cytopathology (TBSRTC) established a standardized,
category –based reporting system for thyroid fine needle aspiration cytology.
Aim: The objective of this study was to analyse the thyroid cytology smears by TBSRTC, and to determine
the distribution of diagnostic categories and subcategories, to analyse cytomophologic features and to
correlate cytopathology with histopathology wherever surgery was done.
Materials and Methods: In this study FNA of 248 patients of clinically palpable thyroid and deep-seated
lesions were evaluated and categorised according to bethesda system of reporting thyroid cytopathology. 66
patients underwent surgical management in our hospital. Sensitivity, specificity, positive predictive value,
negative predictive value and accuracy of FNA reported under bethesda system were obtained by comparing
the cytological and histopathological diagnosis where ever possible.
Results: The distribution of various categories from 248 evaluated thyroid nodules is as follows: 2.82%
ND/UNS, 83.87% Benign, 4.03% AUS/FLUS, 2.41% FN, 0.8% SFM and 6.04% malignant. Sensitivity,
specificity, positive predictive value, negative predictive value were calculated.
Conclusion: Simplicity, diagnostic accuracy and most of all cost effectiveness of FNA of thyroid has
gained wide spread acceptance as first-line diagnostic test in the pre-operative evaluation of thyroid lesions.
TBSRTC is an excellent reporting system for thyroid FNA. It also provides clear management guidelines
to clinicians.
Keywords: Thyroid lesions, Aspiration cytologym, Bethesda system.
How to cite : Kanukuntla S, Pavani M, Deshpawde A K, Chaitanya, Evaluation of fine needle aspiration cytology of thyroid lesions by Bethesda system and its histopathological correlation. Indian J Pathol Oncol 2020;7(2):273-278
This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
Viewed: 1656
PDF Downloaded: 893