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首页> 外文期刊>Communications in Numerical Methods in Engineering >A four-compartment multiscale model of fluid and drug distribution in vascular tumours
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A four-compartment multiscale model of fluid and drug distribution in vascular tumours

机译:血管肿瘤中液体和药物分布的四室多尺度模型

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The subtle relationship between vascular network structure and mass transport is vital to predict and improve the efficacy of anticancer treatments. Here, mathematical homogenisation is used to derive a new multiscale continuum model of blood and chemotherapy transport in the vasculature and interstitium of a vascular tumour. This framework enables information at a range of vascular hierarchies to be fed into an effective description on the length scale of the tumour. The model behaviour is explored through a demonstrative case study of a simplified representation of a dorsal skinfold chamber, to examine the role of vascular network architecture in influencing fluid and drug perfusion on the length scale of the chamber. A single parameter, P, is identified that relates tumour-scale fluid perfusion to the permeability and density of the capillary bed. By fixing the topological and physiological properties of the arteriole and venule networks, an optimal value for P is identified, which maximises tumour fluid transport and is thus hypothesised to benefit chemotherapy delivery. We calculate the values for P for eight explicit network structures; in each case, vascular intervention by either decreasing the permeability or increasing the density of the capillary network would increase fluid perfusion through the cancerous tissue. Chemotherapeutic strategies are compared and indicate that single injection is consistently more successful compared with constant perfusion, and the model predicts optimal timing of a second dose. These results highlight the potential of computational modelling to elucidate the link between vascular architecture and fluid, drug distribution in tumours.
机译:血管网络结构与大众运输之间的微妙关系对于预测和提高抗癌治疗的疗效至关重要。在这里,数学均质化被用来导出新的血液和化疗在血管肿瘤的脉管系统和间质中运输的多尺度连续模型。该框架能够将各种血管层次结构的信息输入到有关肿瘤长度尺度的有效描述中。通过对背部皮褶室的简化表示进行的案例研究来探讨模型行为,以检查血管网络结构在影响室长的尺度上对液体和药物灌注的影响。确定了单个参数P,该参数将肿瘤规模的流体灌注与毛细血管床的渗透性和密度相关联。通过固定小动脉和小静脉网络的拓扑和生理特性,可以确定P的最佳值,该值可以最大程度地促进肿瘤液的转运,因此被认为有利于化疗。我们为八个显式网络结构计算P的值;在每种情况下,通过降低毛细血管的渗透性或增加毛细血管网络的密度进行的血管干预都会增加通过癌组织的液体灌注。比较了化学疗法的策略,这些结果表明与恒定灌注相比,单次注射始终更加成功,并且该模型预测了第二次给药的最佳时机。这些结果突出了计算模型阐明血管结构与肿瘤中流体,药物分布之间的联系的潜力。

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