Cytological Diagnostic and Prognostic Methods using Immunocytochemistry (Estrogen Receptor) for Surgical Management of Breast Cancer

Author:

R Nair Rohith1,Nandish Sonali2,R. J Prathibha3,N. M Nandini4

Affiliation:

1. 1J.S.S. Medical College, Mysore, Karnataka, India 570015

2. 2Department of Computer Science and Engineering, JSS Science and Technology University, Mysore, Karnataka, India 570006.

3. 3Department of Information Science and Engineering, JSS Science and Technology University, Mysore, Karnataka, India 570006.

4. 4Department of Pathology, JSS Medical College and Hospital, Constituent of JSSAHER, Mysore, Karnataka, India 570004.

Abstract

The purpose of this study was to assess the utility of fine needle aspiration cytology (FNAC), immunocytochemistry(ICC) using estrogen receptor(ER) in diagnosing breast lesions. This was done by comparing it to histopathology with immunohistochemistry(IHC), which serves as the gold standard for diagnosing these lesions. To compare these modalities of investigation,50 samples were collected using FNAC and were compared to the same samples obtained by histopathology. For FNAC the results were as follows, Sensitivity=100%, Specificity=100%,Diagnostic Accuracy=100% Positive Predictive Value(PPV)=100% and Negative Predictive Value(NPV)=100% . For ICC using ER the results were as follows, Sensitivity=100%,Accuracy=100%,Positive Predictive Value=100%,Negative Predictive Value=100%. This indicates that FNAC and ICC using ER can be used as a reliable alternative to gold-standard diagnostic tests when the latter cannot be done due to a lack of resources or in circumstances where there is a need to perform a painless, minimally invasive procedure such as in inoperable breast carcinoma. This study also involved using text data analysis on FNAC reports. On analysis, it was found that the useful words were 11.35% of the data set, implying that the process of normalization, will result in the formation of condensed data, which can then be utilized for assisting clinical chart reviews and clinical decision support systems.

Publisher

Oriental Scientific Publishing Company

Subject

Pharmacology

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