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计算机辅助细胞计数在高级别恶性非霍奇金淋巴瘤及扁桃体中的应用

Computer aided cytometry in high grade malignant non-Hodgkin's lymphomas and tonsils.

作者信息

Bergmann M, Heyn H, Harms H, Müller-Hermelink H K

机构信息

Institute of Pathology, University of Würzburg, Federal Republic of Germany.

出版信息

Virchows Arch B Cell Pathol Incl Mol Pathol. 1989;58(2):153-63. doi: 10.1007/BF02890066.

DOI:10.1007/BF02890066
PMID:2575820
Abstract

The aim of the study is to establish quantitative cytological criteria for reliable diagnoses in high grade malignant non-Hodgkin's lymphomas (NHL). For this purpose Pappenheim-stained cytologic imprints from 15 cases of high grade malignant NHL and ten cases of chronic tonsillitis have been analysed using a TV-microscope system, high resolution color scanning (13.3 pixel/microns), and image processing on a computer. The highly reliable computer-extracted cell features can be used to discriminate the different cell types of malignant NHL. Because of a considerable overlap, no feature on its own is sufficient to discriminate all the different cells. Only multivariate analysis of a suitable combination of features allows reliable discrimination. The results show that the different cells defined by subjective morphological criteria in the Kiel-classification of malignant NHL also form distinctive subpopulations with regard to their objective mathematical cell features and show distinctive differences when compared with their benign counterparts derived from reactive lymphatic tissue.

摘要

本研究的目的是建立用于高级别恶性非霍奇金淋巴瘤(NHL)可靠诊断的定量细胞学标准。为此,使用电视显微镜系统、高分辨率彩色扫描(13.3像素/微米)以及计算机图像处理技术,对15例高级别恶性NHL和10例慢性扁桃体炎的帕彭海姆染色细胞学印片进行了分析。计算机提取的高度可靠的细胞特征可用于区分恶性NHL的不同细胞类型。由于存在相当大的重叠,单一特征不足以区分所有不同的细胞。只有对合适的特征组合进行多变量分析才能实现可靠的区分。结果表明,在恶性NHL的 Kiel 分类中,由主观形态学标准定义的不同细胞,就其客观数学细胞特征而言,也形成了独特的亚群,并且与源自反应性淋巴组织的良性对应细胞相比,表现出明显的差异。

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Virchows Arch B Cell Pathol Incl Mol Pathol. 1989;58(2):153-63. doi: 10.1007/BF02890066.
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