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慢性特发性炎症性肠病诊断中的鉴别组织学特征:采用新型数据可视化技术对大型数据集的分析

Discriminant histological features in the diagnosis of chronic idiopathic inflammatory bowel disease: analysis of a large dataset by a novel data visualisation technique.

作者信息

Cross S S, Harrison R F

机构信息

Academic Unit of Pathology, Section of Oncology and Pathology, Division of Genomic Medicine, University of Sheffield, Sheffield S10 2UL, South Yorkshire, UK.

出版信息

J Clin Pathol. 2002 Jan;55(1):51-7.

Abstract

BACKGROUND/AIMS: The histopathological assessment of endoscopic colorectal biopsies is important in the distinction between normality and chronic idiopathic inflammatory bowel disease, and between ulcerative colitis and Crohn's disease, in subjects with symptoms of bowel dysfunction. This study aims to use carefully defined histopathological observations on a large study population to produce systems that improve classification into these diagnostic categories.

METHODS

Eight hundred and nine endoscopic colorectal biopsies with verified outcomes (165 normal, 473 ulcerative colitis, 171 Crohn's disease) were examined by a single experienced histopathologist and 20 defined features were recorded for each case using a novel graphical interface with reference images of each feature. These features, together with age and sex, were used to produce and test statistical classifiers using logistic regression and a novel growing cell structure technique.

RESULTS

The distinction between chronic idiopathic inflammatory bowel disease and normality was made with a good level of performance by both statistical classifiers (with areas under the receiver operating characteristic curves above 0.80). The growing cell structure system selected features as discriminant that agreed with the published literature. Logistic regression produced a more variable selection of discriminant features because of the high correlation between many features. The distinction between ulcerative colitis and Crohn's disease was performed less accurately, with areas under the receiver operating characteristic curves of about 0.70. Again the features selected as discriminant broadly agreed with those in the published literature.

CONCLUSIONS

Histopathological examination of endoscopic colorectal biopsies is an effective method of distinguishing between subjects with chronic idiopathic inflammatory bowel disease and normality, but less good at distinguishing between ulcerative colitis and Crohn's disease. The features selected as discriminant in this large statistical analysis broadly agree with those published in the literature from more qualitative studies.

摘要

背景/目的:对于有肠道功能障碍症状的患者,内镜下结直肠活检的组织病理学评估对于区分正常与慢性特发性炎症性肠病,以及区分溃疡性结肠炎和克罗恩病至关重要。本研究旨在通过对大量研究人群进行精心定义的组织病理学观察,建立能够改进这些诊断分类的系统。

方法

由一位经验丰富的组织病理学家检查809例经证实结果的内镜下结直肠活检标本(165例正常,473例溃疡性结肠炎,171例克罗恩病),并使用具有每个特征参考图像的新型图形界面为每个病例记录20个定义特征。这些特征连同年龄和性别,用于使用逻辑回归和一种新型生长细胞结构技术生成和测试统计分类器。

结果

两种统计分类器对慢性特发性炎症性肠病和正常的区分表现良好(受试者操作特征曲线下面积均高于0.80)。生长细胞结构系统选择的判别特征与已发表文献一致。由于许多特征之间的高度相关性,逻辑回归产生的判别特征选择更具变异性。溃疡性结肠炎和克罗恩病之间的区分准确性较低,受试者操作特征曲线下面积约为0.70。同样,选择的判别特征与已发表文献中的特征大致一致。

结论

内镜下结直肠活检的组织病理学检查是区分慢性特发性炎症性肠病患者和正常患者的有效方法,但在区分溃疡性结肠炎和克罗恩病方面效果较差。在这项大型统计分析中选择的判别特征与更多定性研究文献中发表的特征大致一致。

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