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吉布斯点场模型量化了 U87-胶质母细胞瘤微血管的紊乱。

Gibbs point field model quantifies disorder in microvasculature of U87-glioblastoma.

机构信息

Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, Heidelberg 69120, Germany; Department of Physics and Astronomy, University of Heidelberg, Im Neuenheimer Feld 226, Heidelberg 69120, Germany.

Molecular Mechanisms of Tumor Invasion, Schaller Research Group, University of Heidelberg and German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, Heidelberg 69120, Germany.

出版信息

J Theor Biol. 2020 Jun 7;494:110230. doi: 10.1016/j.jtbi.2020.110230. Epub 2020 Mar 3.

DOI:10.1016/j.jtbi.2020.110230
PMID:32142806
Abstract

Microvascular proliferation in glioblastoma multiforme is a biological key mechanism to facilitate tumor growth and infiltration and a main target for treatment interventions. The vascular architecture can be obtained by Single Plane Illumination Microscopy (SPIM) to evaluate vascular heterogeneity in tumorous tissue. We make use of the Gibbs point field model to quantify the order of regularity in capillary distributions found in the U87 glioblastoma model in a murine model and to compare tumorous and healthy brain tissue. A single model parameter Γ was assigned that is linked to tissue-specific vascular topology through Monte-Carlo simulations. Distributions of the model parameter Γ differ significantly between glioblastoma tissue with mean 〈Γ〉=2.1±0.4, as compared to healthy brain tissue with mean 〈Γ〉=4.9±0.4, suggesting that the average Γ-value allows for tissue differentiation. These results may be used for diagnostic magnetic resonance imaging, where it has been shown recently that Γ is linked to tissue-inherent relaxation parameters.

摘要

成胶质细胞瘤中的微血管增生是促进肿瘤生长和浸润的生物学关键机制,也是治疗干预的主要靶点。通过单平面照明显微镜(SPIM)可以获得血管结构,以评估肿瘤组织中的血管异质性。我们利用吉布斯点场模型来量化在鼠模型中 U87 成胶质细胞瘤模型中发现的毛细血管分布的规则度顺序,并比较肿瘤组织和健康脑组织。通过蒙特卡罗模拟,将单个模型参数 Γ 分配给与组织特异性血管拓扑相关的参数。模型参数 Γ 的分布在肿瘤组织中差异显著,平均值〈Γ〉=2.1±0.4,而在健康脑组织中平均值〈Γ〉=4.9±0.4,这表明平均 Γ 值可用于组织分化。这些结果可用于诊断磁共振成像,最近的研究表明 Γ 与组织内在的弛豫参数有关。

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