A novel system for scoring of hormone receptors in breast cancer histopathology slides

A. Khan, Aisha F. Mohammed, Shama A. Al-Hajri, Hajer M. Al Shamari, U. Qidwai, I. Mujeeb, N. Rajpoot
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引用次数: 18

Abstract

Grading of breast cancer is often done by an expert pathologist based on their analysis of micro-level structural features of the cancerous tissue specimen as well as the level of presence of certain protein molecules in the specimen. The process of assessment of the level of presence of estrogen and progesterone receptors molecules is subjective by its very nature and therefore, causes large inter-expert and sometimes even intra-expert variability, potentially adding noise to the process of selecting the treatment regime for the patient. Quantification of immunohistochemical stains is critical for an objective assessment of breast cancer histopathology specimens. We present a fast, compact and inexpensive system for scoring the Estrogen and Progesterone hormone receptors in breast cancer histopathology slides using image analysis algorithm. We describe hardware and software issues in the construction of the system, and present a comparison of scores produced by our system to those produced by many expert pathologists.
一种新的乳腺癌组织病理切片中激素受体评分系统
乳腺癌的分级通常由病理学专家根据他们对癌组织标本的微观结构特征的分析以及标本中某些蛋白质分子的存在水平来完成。评估雌激素和孕激素受体分子存在水平的过程本质上是主观的,因此,在专家之间,有时甚至在专家内部会产生很大的差异,可能会给患者选择治疗方案的过程增加噪音。定量免疫组织化学染色是至关重要的客观评估乳腺癌组织病理标本。我们提出了一种快速、紧凑和廉价的系统,用于使用图像分析算法对乳腺癌组织病理切片中的雌激素和孕激素受体进行评分。我们描述了系统构建中的硬件和软件问题,并将我们的系统产生的分数与许多专家病理学家产生的分数进行了比较。
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