International Academy of Cytology Guidelines Based Categorization of Breast Fine-Needle Aspiration Cytology Lesions and their Histopathological Correlation

Author:

Deshpande Shruti Amit,Rao Kandibanda Sai Sri Ram,Sushma Yalavarthi,Saikumar Gopalam Vashita

Abstract

Context: International academy of cytology (IAC) has established a standardized reporting system for fine-needle aspiration (FNA) cytology of breast lesions. They have introduced five categories (Code C1 to Code C5) for reporting breast cytology, each with clear descriptive term for the category, risk of malignancy (ROM) and a suggested management algorithm. Aim: Aims of the present study were to reclassify and correlate the breast FNA (IAC guidelines) with histopathological findings and to calculate the ROM for each category with special emphasis on assessing the diagnostic efficacy of cytological evaluation of code 3 and code 4. Materials and Methods: A 3 years' retrospective cross sectional study included 448 breast FNA samples that were reassessed and reclassified according to the IAC reporting system. The ROM for each category was analyzed. Results: The breast FNA samples were distributed in following categories as: C1 (insufficient material)− 1.78% (n = 8), C2 (benign) – 71.66% (n = 321), C3 (Atypical but benign) −10.81% (n = 45), C4 (Suspicious for malignancy) – 4.91% (n = 22), and C5 (Malignant)– 11.60% (n = 52). Out of the 448 cases, histopathological correlation was available for 205 cases. The ROM for each category was calculated as: 0% for C1, 2.04% for C2, 10.8% for C3, 85.71% for C4, and 100% for C5. The ability of C3 and C4 lesions to diagnose breast malignancy was statistically significant, P value 0.042 (P < 0.05). Conclusion: The IAC system for reporting of breast cytology effectively helps in accurate diagnosis and assessment of ROM for each category which helps in better patient management and further research.

Publisher

Medknow

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3