Smolle J, Helige C, Soyer H P, Hoedl S, Popper H, Stettner H, Kerl H, Tritthart H A, Kresbach H
Department of Dermatology, University of Graz, Austria.
J Invest Dermatol. 1990 Jan;94(1):114-9. doi: 10.1111/1523-1747.ep12873976.
Tumor invasion is a crucial feature of tumor growth in vivo. Confrontation cultures of multicellular melanoma spheroids and embryonic chick heart fragments provide a model for invasive growth in vitro. We have developed an image analysis method, which facilitates the objective measurement of tumor cell invasion in this model. Cryostat sections of confrontation cultures were immunohistochemically stained with an antiserum directed against the stromal component for automated recognition of the stroma tissue. The slides were automatically processed by a grey level based computerized image analysis system. On Spearman's rank correlation test, 25 out of 39 parameters correlated with the reference value of invasion, which was derived from the subjective evaluation of five independent observers. Two parameters combining the stroma margin and the total amount of stroma tissue completely reproduced the judgement of the morphologists in our test set. The quantitative evaluation of tumor invasion in vitro by automated image analysis may be helpful in pharmacologic and pathogenetic studies of tumor growth.
肿瘤侵袭是肿瘤在体内生长的一个关键特征。多细胞黑色素瘤球体与鸡胚心脏片段的对峙培养提供了一种体外侵袭生长的模型。我们开发了一种图像分析方法,有助于在该模型中客观测量肿瘤细胞的侵袭。对峙培养物的冷冻切片用针对基质成分的抗血清进行免疫组织化学染色,以自动识别基质组织。载玻片由基于灰度的计算机图像分析系统自动处理。在Spearman等级相关检验中,39个参数中的25个与侵袭参考值相关,该参考值来自5名独立观察者的主观评估。结合基质边缘和基质组织总量的两个参数在我们的测试集中完全重现了形态学家的判断。通过自动图像分析对体外肿瘤侵袭进行定量评估可能有助于肿瘤生长的药理学和发病机制研究。