Bartels P H, Montironi R, Duval da Silva V, Hamilton P W, Thompson D, Vaught L, Bartels H G
Optical Sciences Center, University of Arizona, Tucson, Ariz. 85721, USA.
Eur Urol. 1999;35(5-6):484-91. doi: 10.1159/000019884.
It is the aim of these studies to derive a numerically defined progression index for prostatic intraepithelial neoplasia (PIN) lesions.
Histometric and karyometric features were automatically extracted from images of histopathologic sections by a machine vision system.
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.
It is possible to measure progression of PIN lesions with precision. The methodology would lend itself for measurement of regression due to chemopreventive intervention.
这些研究的目的是得出前列腺上皮内瘤变（PIN）病变的数值定义进展指数。
通过机器视觉系统从组织病理学切片图像中自动提取组织测量和细胞核测量特征。
组织测量和细胞核测量指标都有助于定义进展指数。发现细胞核测量特征更敏感。它们能检测到非常早期的变化。
精确测量PIN病变的进展是可能的。该方法将适用于测量化学预防干预导致的消退情况。
