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首页> 美国卫生研究院文献>Clinical Molecular Pathology >Discriminant histological features in the diagnosis of chronic idiopathic inflammatory bowel disease: analysis of a large dataset by a novel data visualisation technique
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Discriminant histological features in the diagnosis of chronic idiopathic inflammatory bowel disease: analysis of a large dataset by a novel data visualisation technique

机译：慢性特发性炎症性肠病诊断中的组织学特征鉴别：通过新型数据可视化技术分析大型数据集

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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.
机译：背景/目的：对于肠功能异常症状的受试者，正常内镜和慢性特发性炎症性肠病，溃疡性结肠炎和克罗恩病之间的区别对内窥镜大肠活检组织病理学评估很重要。这项研究的目的是对大量研究人群使用精心定义的组织病理学观察结果，以产生可将这些诊断类别进行分类的系统。方法：分别对八百零九例经内镜检查的结直肠活检标本进行了验证（165例正常，473例溃疡性结肠炎，171例克罗恩氏病）。由一位经验丰富的组织病理学家进行检查，并使用新颖的图形界面（每个特征的参考图像）为每种情况记录了20个定义的特征。这些特征以及年龄和性别被用于通过逻辑回归和一种新颖的细胞生长技术来产生和检验统计分类器。结果：慢性特发性炎症性肠病和正常人之间的区分在两个方面均表现良好统计分类器（接收机工作特性曲线下的面积大于0.80）。不断增长的细胞结构系统选择了与已发表文献相符的特征作为判别式。由于许多特征之间的高度相关性，逻辑回归产生了更多的判别特征选择。溃疡性结肠炎和克罗恩病之间的区分不太准确，接受者操作特征曲线下的面积约为0.70。结论：内镜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和正常人的有效方法，但对溃疡性结肠炎和克罗恩氏病的区分较差。疾病。在大型统计分析中被选为判别式的特征与更多定性研究在文献中发表的特征大体上一致。

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