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：在本研究中，我们采用计算模拟的方法，对渗透率和水力导度这两个重要参数进行了评估。这些参数影响药物粒子通过血管、正常组织和肿瘤组织的运动，以检查纳米颗粒浓度、间质压力和速度。通过实际图像处理提供了一个几何模型来描述正常组织和肿瘤组织下的毛细血管网络。随后，考虑真实情况来解决与药物传输和组织内血管内和间质流动相关的方程。结果表明，渗透率和水力导度的增加导致肿瘤中药物浓度的增加。最后，甲氨蝶呤药物在治疗肿瘤方面具有最大的效果。总体而言，这种抗癌输送的计算模型为了解和优化治疗癌症的药物输送策略提供了有力工具。