Suppr超能文献

[利用计算机辅助图像分析检测乳腺癌免疫组化受体状态。免疫组化密度测定受体分析——IRDA]

[Use of computer-assisted image analysis for the detection of immunohistochemical receptor status in breast cancer. Immunohistochemical densitometry receptor analysis--IRDA].

作者信息

Mink D, Bonkhoff H, Herth G, Schmidt W

机构信息

Universitäts-Frauenklinik und Poliklinik mit Hebammenlehranstalt, Homburg/Saar.

出版信息

Geburtshilfe Frauenheilkd. 1992 Oct;52(10):617-23. doi: 10.1055/s-2007-1023195.

Abstract

A method for the evaluation of the immunohistochemical staining score of steroid receptors in breast cancer using computer-based image analysis is presented. The optical density of tumour cell nuclei was measured using kryostat sections and, using a control section as reference, an objective threshold for specific staining was defined. In intensively stained sections, a good correlation with visual scoring was achieved, but in 9 out of 16 sections, which were regarded as receptor-negative by visual scoring, a specific receptor-positive staining was demonstrated by image analysis. Next to the percentage of positive cells (PP) and the mean staining intensity (SI), a histogram of the receptor concentration in positive nuclei was calculated. The method allows, besides an objective evaluation and documentation, an exact definition of a threshold for specific receptor measurement and furthermore shows the pattern of receptor concentration in the tumour cell nuclei. Hence, the method could contribute towards a more widespread use of immunohistochemical receptor analysis.

摘要

本文介绍了一种使用基于计算机的图像分析方法评估乳腺癌中类固醇受体免疫组化染色评分的方法。使用恒冷切片机切片测量肿瘤细胞核的光密度,并以对照切片为参考定义特异性染色的客观阈值。在染色强烈的切片中,与视觉评分有良好的相关性,但在16个视觉评分认为受体阴性的切片中,有9个通过图像分析显示出特异性受体阳性染色。除了阳性细胞百分比(PP)和平均染色强度(SI)外,还计算了阳性细胞核中受体浓度的直方图。该方法除了能进行客观评估和记录外,还能精确界定特异性受体测量的阈值,并且显示肿瘤细胞核中受体浓度的模式。因此,该方法有助于免疫组化受体分析的更广泛应用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验