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Numerical modeling of diffusion in extracellular space of biological cell clusters and tumors

机译:生物细胞团和肿瘤在细胞外空间扩散的数值模拟

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Biological cluster of cells may be seen as porous media, where the cells are the "solid grains" and the extracellular space (ECS) the "pores". It is often the case in dense clusters of cells that the flow rate of liquid inside the extracellular space is negligible in front of the molecular diffusion. In the particular case of tumoral cells, the extra-cellular path is the tumor interstitial matrix (IM) and the apparent (or effective) diffusion coefficient (ADC) determines the speed of delivery of drugs into the tumor. It is then of great importance to be able to estimate the value of the apparent diffusion coefficient. We present here a numerical approach, based on a Monte Carlo modeling to estimate the ADC in irregular, non repetitive morphologies of cell clusters.
机译:细胞的生物簇可以看作是多孔介质,其中细胞是“固体颗粒”,而细胞外空间(ECS)是“孔”。在密集的细胞簇中,细胞外空间内液体的流速在分子扩散之前可以忽略不计。在肿瘤细胞的特定情况下,细胞外途径是肿瘤间质基质(IM),表观(或有效)扩散系数(ADC)决定了药物向肿瘤中的递送速度。因此,非常重要的是能够估计表观扩散系数的值。我们在这里提出一种基于蒙特卡洛模型的数值方法,以估计细胞簇的不规则,非重复形态的ADC。

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