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图像分析系统在人胶质瘤异种移植瘤肿瘤灌注和血管生成定量分析中的应用。

Application of an image analysis system to the quantitation of tumor perfusion and vascularity in human glioma xenografts.

作者信息

Rijken P F, Bernsen H J, van der Kogel A J

机构信息

Institute of Radiotherapy, University of Nijmegen, The Netherlands.

出版信息

Microvasc Res. 1995 Sep;50(2):141-53. doi: 10.1006/mvre.1995.1048.

Abstract

A semiautomatic method based on a computerized digital image analysis system was developed to quantitate the perfused fraction of blood vessels and the relative vascular area in cross-sections of human glioma xenografts, implanted subcutaneously in athymic mice or intracerebrally in nude rats. The fluorescent dye Hoechst 33342 was injected intravenously to detect perfused tumor vessels. An immunofluorescent staining of Collagen type IV visualized the vascular structures in the same tumor section. Whole tumor sections were automatically scanned twice on a computer-controlled motorized stage of a fluorescence microscope under two different settings of the image analysis system. At the beginning of a scanning session an interactive routine was used to determine the threshold value for segmentation of vascular structures from the darker background. After the first scan a composite image was created, from the individually processed microscopic images, containing the detected vascular structures. The second scan yielded another composite image with objects representing the perfused areas. When both composite images were combined the overlapping structures showed the perfused vessels. Differences in perfused fractions and relative vascular areas were found between different tumors. The reproducibility of this analysis system was tested and evaluated. The method developed here provides a fast and accurate technique for simultaneous quantitative analysis of tumor perfusion and vasculature.

摘要

开发了一种基于计算机数字图像分析系统的半自动方法,用于定量分析人胶质瘤异种移植瘤的血管灌注分数和相对血管面积,该移植瘤分别皮下植入无胸腺小鼠或脑内植入裸鼠。静脉注射荧光染料Hoechst 33342以检测灌注的肿瘤血管。IV型胶原的免疫荧光染色可显示同一肿瘤切片中的血管结构。在图像分析系统的两种不同设置下,在荧光显微镜的计算机控制电动载物台上对整个肿瘤切片自动进行两次扫描。在扫描过程开始时,使用交互式程序确定从较暗背景中分割血管结构的阈值。第一次扫描后,从单独处理后的显微图像创建一个包含检测到的血管结构的合成图像。第二次扫描产生另一个包含代表灌注区域物体的合成图像。当两个合成图像合并时,重叠结构显示出灌注血管。不同肿瘤之间的灌注分数和相对血管面积存在差异。对该分析系统的可重复性进行了测试和评估。这里开发的方法为同时定量分析肿瘤灌注和脉管系统提供了一种快速准确技术。

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