Kneitz S, Ott G, Albert R, Müller-Hermelink H K, Harms H
Institute of Virology and Immunology, Laboratory for Image Processing, University of Würzburg, Germany.
Cytometry. 1998 Apr 15;34(2):75-81. doi: 10.1002/(sici)1097-0320(19980415)34:2<75::aid-cyto3>3.0.co;2-b.
In a previous study, we were able to demonstrate that the differentiation of low-grade non-Hodgkin's lymphomas (NHLs) using digital image analysis of touch imprints obtained from native tumor tissue is feasible. The availability of touch imprints in routine diagnostics, however, is restricted. Therefore, we extended our studies toward paraffin sections being used as routine material for histological diagnoses. To identify five types of NHL classified according to the Revised European American Lymphoma classification, paraffin sections (n=53) of NHL and 9 reactive lymphoid tissues (RLTs) were scanned with a color-video-based microscope system and analyzed by digital image processing. A reliable division between benign and neoplastic lymphoproliferations was achieved. We were able to identify 78% of RLTs as benign and 94% of NHLs as neoplastic. The average probability of correct identification into the six subgroups was 66%. In detail, 78% of RLTs, 50% of chronic lymphocytic lymphomas and MALT-type lymphomas, 72% of mantle cell lymphomas, and 67% of follicle center cell lymphoma were classified correctly. Although the method of subclassifying or identifying NHLs on the basis of a computer-mediated assay is still not usable in daily practice, we show that a reliable differentiation between reactive and neoplastic lymphoproliferative lesions can be achieved by analysis of paraffin sections with high-resolution image analysis and that it is possible to define nuclear structures by identifying subtypes of NHL.
在之前的一项研究中，我们能够证明，通过对取自天然肿瘤组织的触摸印片进行数字图像分析来鉴别低度非霍奇金淋巴瘤（NHL）是可行的。然而，触摸印片在常规诊断中的可用性有限。因此，我们将研究扩展至用作组织学诊断常规材料的石蜡切片。为了鉴别根据修订的欧美淋巴瘤分类法划分的五种NHL类型，我们用基于彩色视频的显微镜系统对NHL的石蜡切片（n = 53）和9个反应性淋巴组织（RLT）进行扫描，并通过数字图像处理进行分析。实现了良性和肿瘤性淋巴细胞增殖之间的可靠区分。我们能够将78%的RLT鉴定为良性，94%的NHL鉴定为肿瘤性。正确鉴别到六个亚组的平均概率为66%。具体而言，78%的RLT、50%的慢性淋巴细胞性淋巴瘤和MALT型淋巴瘤、72%的套细胞淋巴瘤以及67%的滤泡中心细胞淋巴瘤被正确分类。尽管基于计算机介导分析对NHL进行亚分类或鉴定的方法在日常实践中仍不可用，但我们表明，通过高分辨率图像分析石蜡切片可以实现反应性和肿瘤性淋巴细胞增殖性病变之间的可靠区分，并且通过鉴定NHL的亚型来定义核结构是可能的。
