Tissue architecture analysis in prostate cancer and its precursors: An innovative approach to computerized histometry
Tissue architecture analysis in prostate cancer and its precursors: An innovative approach to computerized histometry
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DOI：
10.1159/000019884
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发表时间：
1999-05-01
期刊：
影响因子：
23.4
通讯作者：
Bartels, HG
中科院分区：
文献类型：
--
作者：
Bartels, PH;Montironi, R;Bartels, HG
目的：这些研究的目的是推导出前列腺上皮内瘤变（PIN）病变的数值定义的进展指数。方法：利用机器视觉系统从组织病理切片图像中自动提取组织学特征和细胞核特征。结果：组织学和核型测量有助于定义进展指数。核型特征被认为是更敏感。它们可以检测到非常早期的变化。结论：可以精确测量PIN病变的进展。该方法将有助于测量由于化学预防干预的回归。
Aims: It is the aim of these studies to derive a numerically defined progression index for prostatic intraepithelial neoplasia (PIN) lesions. Methods: Histometric and karyometric features were automatically extracted from images of histopathologic sections by a machine vision system. Results: Both histometric and karyometric measures lend themselves to the defining of a progression index. Karyometric features were found to be more sensitive. They allow the detection of very early change. Conclusions: It is possible to measure progression of PIN lesions with precision. The methodology would lend itself for measurement of regression due to chemopreventive intervention.