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[组织病理学诊断中大肠癌前病变与癌变的图像分析]

[Image analysis of precancerous and carcinomatous changes of large intestine in histopathologic diagnosis].

作者信息

Xu X Z

机构信息

PLA General Hospital, Jinan Command, Shandong.

出版信息

Zhonghua Zhong Liu Za Zhi. 1992 Nov;13(6):459-62.

PMID:1576915
Abstract

This article reports the image analysis in the study of normal mucosa, polypoid adenoma, villus adenoma, atypical hyperplasia and tubular adenocarcinoma of the large intestine (15 cases each). The following 8 parameters: nuclear area (NA), plasma area (PA), ratio of nuclear to plasma area (RNPA), mean nuclear diameter, nuclear length, nuclear width, cell volume density and cell surface area density (SV) were observed and compared. Each value was tested by stepwise discriminational classification, giving an accuracy rate of 98%. These results suggested that analysis of variance in these groups was very significant in statistics (P less than 0.01). The mean values of RNPA and SV were especially significantly different between the adenocarcinoma group and the other groups (P less than 0.01). These results show that image analysis may be of importance in the histopathologic differentiation of precancerous from carcinomatous lesions.

摘要

本文报道了对大肠正常黏膜、息肉状腺瘤、绒毛状腺瘤、非典型增生及管状腺癌(各15例)进行研究的图像分析。观察并比较了以下8个参数:核面积(NA)、浆面积(PA)、核浆面积比(RNPA)、平均核直径、核长度、核宽度、细胞体积密度及细胞表面积密度(SV)。每个值均通过逐步判别分类进行检验,准确率达98%。这些结果表明,这些组间的方差分析在统计学上非常显著(P<0.01)。腺癌组与其他组之间RNPA和SV的平均值差异尤为显著(P<0.01)。这些结果表明,图像分析在癌前病变与癌性病变的组织病理学鉴别中可能具有重要意义。

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