In this study, a computational simulation is employed to place two essential parameters, the permeability of vessels and hydraulic conductivity, under assessment. These parameters impact the movement of drug particles through vessels, and normal and tumoral tissue to examine the concentration of nanoparticles, interstitial pressure, and velocity. To provide a geometric model detailing the capillary network under normal and tumoral tissue conditions, the geometry is extracted via real image processing. Subsequently, the real conditions were considered to solve the equations pertaining to drug transport and intravascular and interstitial flows in the tissue. The results showed that an increase in permeability and hydraulic conductivity leads to an increase in drug concentration in the tumor. Finally, Methotrexate drug has the most effect in the treatment of tumors. Overall, the computational model for anti-cancer delivery provides a powerful tool for understanding and optimizing drug delivery strategies for the treatment of cancer.

翻译：本研究采用计算模拟方法，评估了血管渗透性与水力传导率这两个关键参数。这些参数影响药物颗粒在血管、正常组织及肿瘤组织中的运动过程，以探讨纳米颗粒浓度、组织间质压力及流速的变化规律。通过真实图像处理提取毛细血管网络几何模型，精确刻画正常与肿瘤组织条件下的微血管结构。在此基础上，基于真实生理条件求解药物输运、血管内流动及组织间质流动的耦合方程。结果表明：渗透性与水力传导率的增加会促进肿瘤内药物浓度的提升。其中，甲氨蝶呤对肿瘤治疗的效果最为显著。总体而言，该抗癌药物递送计算模型为理解与优化癌症治疗药物递送策略提供了有力工具。