Rüschoff J, Neumann K, Contractor H, Plate K, Thomas C
Department of Pathology, Philipps-University, Marburg, Federal Republic of Germany.
J Cancer Res Clin Oncol. 1990;116(5):480-5. doi: 10.1007/BF01612998.
The value of automatic image analysis in the investigation of nucleolus regions (AgNOR) has been examined in tissue sections of 52 malignant and 30 benign breast lesions. Determination of the AgNOR number per cell alone revealed a considerable overlap between benign (range 1.2-3.8) and malignant specimens (range 1.5-16.2). They differed however, highly significantly (P less than 0.001) in their AgNOR sizes. In benign breast disorders the mean AgNOR area per tumour ranged from 0.22 microns2 to 1.07 microns2 (mean 0.39 microns2), whereas in carcinomas AgNOR sites ranged from 0.05 microns2 to 0.22 microns2 (mean 0.09 microns2). AgNOR counts showed a good correlation with histopathological grade (P less than 0.05), aneuploidy (P less than 0.01), proliferation rate as determined by Ki67 immunostaining (P less than 0.01), as well as oestrogen and progesterone receptor content (P less than 0.01). Image analysis proved to be advantageous over AgNOR counting alone as it facilitated the standardization of the AgNOR technique itself and thus, significantly improved its diagnostic specifity.
对52例恶性乳腺病变和30例良性乳腺病变的组织切片进行了自动图像分析在核仁区（AgNOR）研究中的价值评估。仅测定每个细胞的AgNOR数量显示，良性标本（范围为1.2 - 3.8）和恶性标本（范围为1.5 - 16.2）之间存在相当大的重叠。然而，它们的AgNOR大小差异非常显著（P小于0.001）。在良性乳腺疾病中，每个肿瘤的平均AgNOR面积范围为0.22平方微米至1.07平方微米（平均0.39平方微米），而在癌组织中，AgNOR面积范围为0.05平方微米至0.22平方微米（平均0.09平方微米）。AgNOR计数与组织病理学分级（P小于0.05）、非整倍体（P小于0.01）、通过Ki67免疫染色测定的增殖率（P小于0.01）以及雌激素和孕激素受体含量（P小于0.01）均显示出良好的相关性。图像分析被证明比单独的AgNOR计数更具优势，因为它有助于AgNOR技术本身的标准化，从而显著提高其诊断特异性。
