用于癌症诊断和预后的dna核测定

A. Böcking, David Friedrich, B. Palcic, Dietrich Meyer-Ebrech, Jin Chen
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引用次数: 3

摘要

诊断和预后DNA-细胞测定法是一种自动化的计算机化显微镜程序,旨在从三个不同方面改进癌症诊断:筛查癌症细胞,如体腔渗出液、尿液或粘膜涂片中的细胞。指定发展为癌症(如口腔、支气管或宫颈粘膜)的发育不良或边界病变的风险,或卵巢对某些肿瘤的恶性程度进行分级,如前列腺癌症。它将Feulgen染色细胞核的自动诊断分类与精确的细胞核DNA测量相结合。DNA非整倍体被用作恶性肿瘤及其分级程度的特异性标记。根据Feulgen的说法,所有类型的细胞学标本都可以在对DNA进行特异性染色后使用。在Feulgen染色之前,对组织学标本进行酶促细胞分离。视频载玻片扫描仪用于显微镜载玻片的自动扫描。诊断核分类器具有由细胞病理学家(A.B.)专门训练的组织,基于随机森林分类器,应用18种不同的形态计量特征。它们在区分8种不同类型的物体/细胞核方面实现了91.1%的总体准确率。二倍体细胞核的细胞核DNA测量实现了1%形态异常细胞核的CV。加载、扫描和验证每张幻灯片的结果所需的时间约为10分钟。数字诊断核分类的结果可以由细胞病理学家使用图像库进行验证。同样,在病理学家验证诊断结果发布之前,可以在监视器上检查核DNA分布的自动诊断解释。报告了体腔积液和尿液的筛查结果。报告了口腔、支气管和宫颈涂片对发育不良的评估。前列腺癌的恶性程度分级结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic and Prognostic DNA-Karyometry for Cancer Diagnostics
Diagnostic and prognostic DNA-karyometry represents an automated computerized microscopical procedure, designed to improve cancer diagnostics at three different aspects: Screening for cancer cells, e.g. in body cavity effusions, urines or mucosal smears Specifying the risk of dysplasias or borderline lesions to progress to manifest cancer, e.g. of oral, bronchial or cervical mucosa, or the ovary Grading the malignancy of certain tumors, like prostate cancer. It combines an automated diagnostic classification of Feulgen-stained nuclei with precise nuclear DNA-measurements. DNA-aneuploidy is used as a specific marker of malignancy and its degree for grading. All types of cytological specimens can be used after (re-)staining specific for DNA according to Feulgen. Histological specimens are subjected to enzymatic cell separation before Feulgen-staining. A video-slide scanner is used for automated scanning of microscopical slides. Diagnostic nuclear classifiers have tissue-specifically been trained by an expert-cytopathologist (A. B.), based on Random Forest Classifiers, applying 18 different morphometric features. They achieve an overall accuracy of 91.1% to differentiate 8 differents types of objects/nuclei. Nuclear DNA-measurements of diploid nuclei achieve a CV of 1% morphometrically abnormal nuclei. Time needed for loading, scanning and validation of results per slide is about 10 minutes. Results of digital diagnostic nuclear classification can be verified by a cytopathologist, using image galleries. Likewise automated diagnostic interpretation of nuclear DNA-distributions can be checked on the monitor, before a pathologists validated diagnoses are issued. Screening-results are presented for body cavity effusions and urines. Evaluations of dysplasias are reported for oral, bronchial and cervical smears. Results of grading malignancy are shown for prostate cancers.
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