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细胞核图像分析作为乳腺癌分级中一种可能的预后评估工具。

Nucleus image analysis as a possible prognostic tool in grading breast cancer.

作者信息

Dufer J, Liautaud-Roger F, Barbarin D, Coninx P

机构信息

Department of Biology, Institut Jean-Godinot, Reims, France.

出版信息

Biomed Pharmacother. 1993;47(4):131-5. doi: 10.1016/0753-3322(93)90003-4.

Abstract

The WHO grading system for breast cancer is based on the subjective, poorly reproducible evaluation of two cytological criteria (Mitotic Activity: MA and Nuclear Pleiomorphism: NP) and one histological criterion (Tubular Differentiation: TD). In order to improve the reproducibility of the assessment of tumour differentiation, we have looked for nuclear cytophotometric parameters (densitometry, geometry and texture) that could be measured objectively on smears stained by the Feulgen method. Tumour cell populations from 36 breast cancers were investigated by nuclear image analysis according to NP scores, MA scores, TD scores (ie for each variable, three categories), WHO total scores (3 to 9 or 7 categories) and WHO grades (grade I: 13 patients, whereas 13 and 10 for grade II and III respectively). Discrimination between each score or grade could be displayed by the average profiles of the nuclear cytophotometric parameters provided by multivariate analysis. Discrimination between TD scores was based on two parameters of nuclear texture. All these data suggest that WHO grading could be obtained in an objective manner by nuclear image analysis.

摘要

世界卫生组织(WHO)的乳腺癌分级系统基于对两个细胞学标准(有丝分裂活性:MA和核异型性:NP)和一个组织学标准(管状分化:TD)的主观评估,这种评估的可重复性较差。为了提高肿瘤分化评估的可重复性,我们寻找了可以通过福尔根染色法在涂片上客观测量的核细胞光度学参数(密度测定、几何形状和纹理)。根据NP评分、MA评分、TD评分(即对于每个变量,分为三类)、WHO总分(3至9分或7类)和WHO分级(I级:13例患者,II级和III级分别为13例和10例),对36例乳腺癌的肿瘤细胞群体进行了核图像分析。多变量分析提供的核细胞光度学参数的平均分布图可以显示每个评分或分级之间的差异。TD评分之间的差异基于两个核纹理参数。所有这些数据表明,通过核图像分析可以客观地获得WHO分级。

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