Cytological grading of breast carcinoma on fine needle aspirates and its relation with histological grading

Author:

Phukan Jyoti Prakash1,Sinha Anuradha1,Deka Jatindra Prasad2

Affiliation:

1. Department of Pathology, Bankura Sammilani Medical College, Bankura, West Bengal

2. Department of Pathology, Tezpur Medical College, Tezpur, Assam

Abstract

Abstract Background: Grading of breast carcinoma on fine needle aspiration cytology (FNAC) is beneficial for selecting patients for neoadjuvant chemotherapy. Aims: To grade the breast carcinoma on FNAC using Robinson grading system and to assess the concordance of cytological grading (CG) with histological grading (HG) using Elston-Ellis modification of Scarff-Bloom-Richardson grading system. Materials and Methods: The study was conducted for 1-year, comprising of 50 female patients attending outpatient departments (OPD) as well as admitted in various surgical wards of a teaching hospital, diagnosed as breast carcinoma. FNAC smears were stained with May-Grunwald-Giemsa and Papanicolaou (Pap) stains and CG was done using Robinson system on Pap stained smears. The results were compared with HG system after resection of tumors. Results: Of 50 cases, 14 (28%) cases were graded as grade I, 24 (48%) grade II, and 12 (24%) grade III by CG, whereas 9 (18%), 28 (56%) and 13 (26%) cases were graded as grade I, II and III by HG. The result showed overall 72% concordance of CG with HG, with grade II and grade III showing highest degree of concordance (83.33%), which is comparable to previous studies. Kappa measurement showed a higher degree of agreement in high-grade tumors compared with low-grade tumors (0.73 in grade III, 0.53 in grade II and 0.39 in grade I). Conclusion: Cytological grading is comparable to HG in majority of cases. Because neoadjuvant chemotherapy is becoming increasingly popular as primary treatment modality of breast cancer, CG could be a useful parameter in selecting the mode of therapy and predicting tumor behavior.

Publisher

Georg Thieme Verlag KG

Subject

Cancer Research,Oncology

Cited by 11 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