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膀胱尿路上皮癌塑料包埋组织学材料的形态计量学、密度测定和模式分析

Morphometry, densitometry and pattern analysis of plastic-embedded histologic material from urothelial cell carcinoma of the bladder.

作者信息

van der Poel H G, Boon M E, Kok L P, van der Meulen E A, van Caubergh R D, de Bruijn W C, Debruyne F M

机构信息

Leiden Cytology and Pathology Laboratory, The Netherlands.

出版信息

Anal Quant Cytol Histol. 1991 Oct;13(5):307-15.

PMID:1801828
Abstract

An image analysis method of grading histologic sections of bladder carcinoma was tested. The method was new in four respects. First, for fixation of the biopsies a coagulant fixative was used. Second, 2-microns plastic sections were used to ensure the reproducibility of nuclear imaging. Third, a new stereologic approach was used for calculation of the nuclear volume and DNA content. Fourth, for the classification rule the morphometric, densitometric and texture features were used in concert. The IBAS 2000 instrument was used for the measurements. Texture analysis of the chromatin patterns was performed using Markovian texture features. Using discriminant analysis, of 22 parameters, 2 morphometric, 2 densitometric and 3 texture features were selected for the classification rule. With them, 89% of the bladder carcinomas were correctly classified into the three grades. All grade III tumors were classified correctly. Among the features tested, the densitometry of the DNA had the highest F values. All of the grade III tumors and 45% of the grade II tumor group had DNA histograms indicating aneuploidy. This study showed that plastic-embedded material is well suited to morphometry and densitometry and can be used for quantitative grading of bladder carcinoma.

摘要

对一种膀胱癌组织学切片分级的图像分析方法进行了测试。该方法在四个方面具有创新性。首先,活检标本固定采用了一种凝固性固定剂。其次,使用2微米厚的塑料切片以确保核成像的可重复性。第三,采用一种新的体视学方法来计算核体积和DNA含量。第四,分类规则综合使用了形态测量、密度测量和纹理特征。测量使用了IBAS 2000仪器。使用马尔可夫纹理特征对染色质模式进行纹理分析。通过判别分析,从22个参数中选择了2个形态测量、2个密度测量和3个纹理特征用于分类规则。利用这些特征,89%的膀胱癌被正确地分为三个等级。所有III级肿瘤均被正确分类。在所测试的特征中,DNA密度测量的F值最高。所有III级肿瘤和45%的II级肿瘤组的DNA直方图显示为非整倍体。本研究表明,塑料包埋材料非常适合形态测量和密度测量,可用于膀胱癌的定量分级。

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