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数学形态学在非霍奇金淋巴瘤组织切片中细胞核大小和形状分析中的应用。

An application of mathematical morphology to analysis of the size and shape of nuclei in tissue sections of non-Hodgkin's lymphoma.

作者信息

Lesty C, Raphael M, Nonnenmacher L, Leblond-Missenard V, Delcourt A, Homond A, Binet J L

出版信息

Cytometry. 1986 Mar;7(2):117-31. doi: 10.1002/cyto.990070202.

Abstract

Using principles from the theory of mathematical morphology, a semiautomatic analysis of the size and shape of cell nuclei on tissue sections was carried out on a Leitz Texture Analysis System (Leitz-TAS). The four parameters proposed here are more discriminatory than conventional shape evaluation by the form factor (FF), which is based on the ratio of perimeter squared to area. The parameters quantified, respectively, nuclear elongation (ND), narrow (R1) and wide (R2) irregularities, and the distribution of R1 and R2 along the nuclear contour (ID). The properties of these parameters were tested nucleus-by-nucleus on 24 nuclear models. The methodology was then illustrated by a study of lymph node nuclei in non-Hodgkin's lymphoma (NHL). Prior to analysis, 45 lymphomas were classified into five categories of nuclear size and shape according to the International Working Formulation (IWF). Two hundred nuclei were measured on each lymph node section. Statistical interpretation was based upon an analysis of the nuclear surface area on sections and upon the mean values of R1, R2, and ND, the standard deviations of R1 and R2, and the percentage of cleaved nuclei detected by ID. The mean value of R2 discriminated best between the two sets of populations with regular and irregular nuclear contours, respectively. Parameters R1, ND, and ID permitted the distinction of certain NHL cases among populations with irregular nuclei. Nuclear invaginations decreased in depth as the nuclear area became greater. The median surface area was well correlated to the IWF, and the skewness coefficient (third statistical moment of the nuclear surface area distribution) was related to the number of nuclear size or shape subpopulations.

摘要

利用数学形态学理论的原理,在徕卡组织纹理分析系统(Leitz-TAS)上对组织切片中的细胞核大小和形状进行了半自动分析。这里提出的四个参数比基于周长平方与面积之比的传统形状评估指标——形状因子(FF)更具区分性。所量化的参数分别为核伸长率(ND)、窄部(R1)和宽部(R2)不规则度,以及R1和R2沿核轮廓的分布(ID)。在24个核模型上逐个核地测试了这些参数的特性。然后通过对非霍奇金淋巴瘤(NHL)淋巴结细胞核的研究来说明该方法。在分析之前,根据国际工作分类法(IWF)将45例淋巴瘤分为五类核大小和形状。在每个淋巴结切片上测量200个细胞核。统计解释基于对切片上核表面积的分析以及R1、R2和ND的平均值(mean values)、R1和R2的标准差(standard deviations)以及通过ID检测到的裂核百分比。R2的平均值分别在两组具有规则和不规则核轮廓的群体之间具有最佳区分能力。参数R1、ND和ID能够区分具有不规则核的群体中的某些NHL病例。随着核面积增大,核内陷深度减小。中位表面积与IWF有很好的相关性,偏度系数(核表面积分布的第三统计矩)与核大小或形状亚群的数量有关。

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