To compare the diagnostic accuracy of FNAC with histopathology in benign and malignant breast lumps


Original Article

Author Details : Dayal Singh Bisht, Himanshu Sharma*, Dev Jyoti Sharma, Vivek Upadhyay

Volume : 9, Issue : 2, Year : 2022

Article Page : 107-111

https://doi.org/10.18231/j.ijpo.2022.027



Suggest article by email

Get Permission

Abstract

A retrospective study was conducted in a tertiary care hospital in which the cytological diagnosis of palpable lesion of breast was compared with histopathological diagnosis to see the accuracy of cytology for both benign and neoplastic lumps in breast. A total number of 101 fine needle aspiration cytology was performed over a period of two years in cases of breast lump. The cytological and histological correlation was found in 51 cases (50%) out of 101cases. The commonest benign lesion was fibroadenoma, which was noted in age group of 15-35 years and the commonst malignant lesion was infiltrating ductal carcinoma, which was noted in the age group of 50-70 years. Thus the present study revealed that FNAC had Sensitivity of 50%, Specificity of 100%, Positive predictive value 100%, Negative predictive value 95.9% and the overall accuracy of the study was 96.1%.
 

Keywords: Fine needle aspiration cytology, Breast lump, Histopathology, Ductal cell carcinoma, Infiltrating ductal cell carcinoma.


How to cite : Bisht D S, Sharma H, Sharma D J, Upadhyay V, To compare the diagnostic accuracy of FNAC with histopathology in benign and malignant breast lumps. Indian J Pathol Oncol 2022;9(2):107-111


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.







Article History

Received : 12-01-2022

Accepted : 24-02-2022


View Article

PDF File   Full Text Article


Copyright permission

Get article permission for commercial use

Downlaod

PDF File   XML File   ePub File


Digital Object Identifier (DOI)

Article DOI

https://doi.org/10.18231/j.ijpo.2022.027


Article Metrics






Article Access statistics

Viewed: 1426

PDF Downloaded: 356