首页> 外文期刊>Microvascular Research: An International Journal >Quantitative assessment of angiogenesis and tumor vessel architecture by computer-assisted digital image analysis: effects of VEGF-toxin conjugate on tumor microvessel density.
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Quantitative assessment of angiogenesis and tumor vessel architecture by computer-assisted digital image analysis: effects of VEGF-toxin conjugate on tumor microvessel density.

机译:通过计算机辅助数字图像分析定量评估血管生成和肿瘤血管结构:VEGF-毒素偶联物对肿瘤微血管密度的影响。

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摘要

Tumor growth is angiogenesis dependent. As a consequence, strategies aimed at disrupting this mechanism are heavily investigated. Several angiogenesis assays are used to directly compare the efficacy of anti-angiogenic compounds. However, objective assessment of new vascular growth has been difficult to achieve. The aim of this study was to test and develop a computer-assisted image analysis method that would give an unbiased quantification of the microvessel density. Human tumors were grown in athymic mice and tumor biopsies were taken after a weeklong treatment with VEGF-toxin conjugate. Frozen tumor sections were prepared and stained with PE-conjugated anti-CD-31 antibodies and vessels were imaged with a fluorescence microscope. Vessel density was analyzed by quantifying PE-positive pixels per recorded field. In addition, images were further processed to investigate morphological differences by an automated binarization and skeletonization protocol. This procedure allowed the computer-assisted estimation of important angiogenic parameters such as total vessel number, length, and branch points. Based on these indices, differences in the angiogenic response between control tumors and those treated with VEGF-toxin conjugate were readily detected (P < 0.007 for all parameters). More importantly, computer-generated measurements correlated well with manual microvessel counts and showed significantly less variation. Our results suggest that computer-assisted image analysis represents a rapid, objective, and alternative method for the quantitative assessment of tumor angiogenesis and vessel architecture. Copyright 2000 Academic Press.
机译:肿瘤生长是血管生成依赖性的。结果,针对破坏该机制的策略进行了深入研究。几种血管生成测定法可用于直接比较抗血管生成化合物的功效。但是,很难实现对新血管生长的客观评估。这项研究的目的是测试和开发一种计算机辅助图像分析方法,该方法可以对微血管密度进行无偏量化。人肿瘤在无胸腺小鼠中生长,并在用VEGF-毒素缀合物治疗一周后进行肿瘤活检。制备冷冻的肿瘤切片并用缀合有PE的抗CD-31抗体染色,并用荧光显微镜对血管成像。通过量化每个记录场的PE阳性像素来分析血管密度。另外,通过自动二值化和骨架化协议进一步处理图像以研究形态差异。该程序允许计算机辅助估计重要的血管生成参数,例如总血管数量,长度和分支点。基于这些指标,可以轻松检测到对照肿瘤与用VEGF-毒素偶联物治疗的肿瘤之间的血管生成反应差异(所有参数的P <0.007)。更重要的是,计算机生成的测量值与手动微血管计数相关性很好,并且显示出明显更少的变化。我们的结果表明,计算机辅助图像分析代表了定量,评估肿瘤血管生成和血管结构的快速,客观和替代方法。版权所有2000学术出版社。

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