  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.
