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ANALYSE AND CLASSIFY VARIOUS BREAST LESIONS ON FNAC WITH SPECIAL REFERENCE TO IAC STANDARDISED REPORTING SYSTEM: A RETROSPECTIVE ANALYSIS OF 300 CASES

Authors: Purwar, Neetu; Dwivedi, Sobha; Omhare, Anita; Swapnil Gupta; Dev Prakash Shivhare, Chayanika Kala and Suman Lata Verma;

ANALYSE AND CLASSIFY VARIOUS BREAST LESIONS ON FNAC WITH SPECIAL REFERENCE TO IAC STANDARDISED REPORTING SYSTEM: A RETROSPECTIVE ANALYSIS OF 300 CASES

Abstract

Introduction: Breast lumps are the common manifestations in clinical practice. For uniform reporting, better diagnostic clarity and uniform patient management International Academy of Cytology (IAC) has classified reporting of breast Fine needle aspiration cytology (FNAC) into 5 tier yokohama reporting system (C1 to C5). Material and Methods: Present study is a retrospective study done in Department of Pathology, GSVM medical college, Kanpur over a period of 12 month (December 2020 to November 2021). Total 300 cases of FNAC breast smears were reviewed and classified according to IAC reporting system (C1 to C5). Results: In our study we had total 300 cases in 12 month period with female patients (285) out numbered male patients (15). On age wise distribution we get maximum no of cases in 2nd and 3rd decade. On categorization of breast lesions according to IAC Yokohama reporting system out of total 300 cases we get C1 lesions in 09(3.0%)cases , C2 lesions in 184(61.3%) cases, C3 lesions in 26(8.6%) cases, C4 lesions in 11(3.6%) cases and C5 lesions in 70(23.3%) cases. Conclusion: Use of FNAC method for evaluation of breast lump for preoperative management is quick, simple and cost effective, with IAC reporting system we can uniformily classify breast FNA cytology for better patient management and better guidance to clinician.

Keywords

Breast Fine Needle Aspiration Cytology International Association of Cytology Carcinoma

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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