Journal Of Applied and Computational Sciences in Mechanics

Journal Of Applied and Computational Sciences in Mechanics

Numerical Simulation of Magnetic Drug Targeting Efficiency in Cerebral Arteries of Diabetic Patients Based on CT Image-Based Geometry Reconstruction

Document Type : Original Article

Authors
Mohammadali Gholipour
Behzad Ghasemi
Afrasiab Raisi
Morteza Bayareh
Department of Mechanical Engineering, Shahrekord University, Shahrekord, Iran
10.22067/jacsm.2025.94646.1347
Abstract
This study assesses the efficiency of magnetic drug targeting (MDT) for patients with type 2 diabetes using numerical simulation. A patient-specific cerebral artery geometry was reconstructed based on CT images, and the blood flow was modeled as a non-Newtonian fluid. Key parameters, including blood viscosity, nanoparticle diameter, and magnetic field intensity, were analyzed for their effects on drug carrier capture efficiency. The results showed that increasing the nanoparticle diameter from 250 nm to 1000 nm enhanced the capture efficiency from about 33% to 61% in the fourth cardiac cycle. Moreover, increasing the magnetic field intensity from 0.5 T to 1 T improved the capture efficiency up to 59%. The analysis of blood flow during diastole and systole demonstrated that higher flow velocity and wall shear stress in systole significantly influence the drag force acting on the nanoparticles. Overall, this study confirms that considering the non-Newtonian behavior of blood, selecting an appropriate nanoparticle size, and optimizing the magnetic field strength are crucial for improving MDT performance in diabetic cancer patients.
Keywords
Magnetic Drug Targeting
Type 2 Diabetes
Numerical Simulation
Non-Newtonian Blood
Drug Carrier Nanoparticles
Magnetic Field
Subjects
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