膀胱组织恶性疾病的计算机化形态核细胞图像分析

Computerized morphonuclear cell image analyses of malignant disease in bladder tissues.

作者信息

de Prez C, de Launoit Y, Kiss R, Petein M, Pasteels J L, Verhest A, Van Velthoven R

机构信息

Department of Pathology, Hospital Brugmann, Brussels, Belgium.

出版信息

J Urol. 1990 Apr;143(4):694-9. doi: 10.1016/s0022-5347(17)40063-2.

DOI:10.1016/s0022-5347(17)40063-2

PMID:2313794

Abstract

We analyzed the relationship between several morphonuclear parameters related to nuclear size, densitometry (deoxyribonucleic acid content and ploidy) and the chromatin pattern versus the histopathological grading of 46 bladder cancer samples graded according to the World Health Organization classification. We used a SAMBA 200 cell image processor with software allowing for the discrimination of 15 different parameters on Feulgen-stained imprint smears. In addition, we set up preliminary data banks that enable objective and reproducible grading of unknown cases. This approach must be validated in a large series of cases to create an expert system for bladder malignancy diagnosis.

摘要

我们分析了46份根据世界卫生组织分类法分级的膀胱癌样本中，与细胞核大小、密度测定（脱氧核糖核酸含量和倍性）以及染色质模式相关的几个形态核参数与组织病理学分级之间的关系。我们使用了一台带有软件的SAMBA 200细胞图像处理器，该软件能够在福尔根染色的印片涂片上区分15个不同参数。此外，我们建立了初步数据库，可对未知病例进行客观且可重复的分级。这种方法必须在大量病例中得到验证，以创建一个膀胱癌诊断专家系统。