Chantrain Christophe F, DeClerck Yves A, Groshen Susan, McNamara George
Division of Hematology-Oncology, Department of Pediatrics, Childrens Hospital Los Angeles, CA 90027, USA.
J Histochem Cytochem. 2003 Feb;51(2):151-8. doi: 10.1177/002215540305100203.
Assessment of tissue vascularization using immunohistochemical techniques for microvessel detection has been limited by difficulties in generating reproducible quantitative data. The distinction of individual blood vessels and the selection of microscopic fields to be analyzed remain two factors of subjectivity. In this study, we used imaging analysis software and a high-resolution slide scanner for measurement of CD31-immunostained endothelial area (EA) in whole sections of human neuroblastoma xenograft and murine mammary adenocarcinoma tumors. Imaging analysis software provided objective criteria for analysis of sections of different tumors. The use of the criteria on images of entire tumor section acquired with the slide scanner constituted a rapid method to quantify tumor vascularization. Compared with previously described methods, the "hot spot" and the "random fields" methods, EA measurements obtained with our "whole section scanning" method were more reproducible with 8.6% interobserver disagreement for the "whole section scanning" method vs 42.2% and 39.0% interobserver disagreement for the "hot spot" method and the "random fields," respectively. Microvessel density was also measured with the whole section scanning method and provided additional data on the distribution and the size of the blood vessels. Therefore, this method constitutes a time efficient and reproducible method for quantification of tumor vascularization.
使用免疫组织化学技术检测微血管来评估组织血管生成,一直受到难以生成可重复定量数据的限制。区分单个血管以及选择要分析的显微镜视野仍然是两个主观因素。在本研究中,我们使用图像分析软件和高分辨率载玻片扫描仪来测量人神经母细胞瘤异种移植瘤和鼠乳腺腺癌肿瘤全切片中CD31免疫染色的内皮面积(EA)。图像分析软件为分析不同肿瘤的切片提供了客观标准。将这些标准应用于用载玻片扫描仪获取的整个肿瘤切片图像上,构成了一种快速量化肿瘤血管生成的方法。与先前描述的“热点”和“随机视野”方法相比,我们的“全切片扫描”方法获得的EA测量结果更具可重复性,“全切片扫描”方法的观察者间差异为8.6%,而“热点”方法和“随机视野”方法的观察者间差异分别为42.2%和39.0%。还用全切片扫描方法测量了微血管密度,并提供了关于血管分布和大小的额外数据。因此,该方法是一种高效且可重复的肿瘤血管生成量化方法。