Introduction: Magnetic nanoparticle (MNP) hyperthermia is a promising cancer treatment approach. It is based on the evidence that by injecting MNPs such as Fe3O4 in the tumor and subjecting them to an alternating magnetic field, they release heat, generating temperatures up to 42°C that can kill cancer cells by apoptosis, usually with lowest damage to normal tissue. In previous work the temperature distribution of an ordinary tumor over the different sizes of Fe3O4 MNPs with uniform dispersion in tumor was performed. The objective of this work is to evaluate the thermal distribution of MNPs in the tumor tissue using random and array geometries due to dispersion states of the inclusions. Materials and Methods: The bio heat transfer equation (BHTE) formulated by Pennes, describes thermal processes in the human body. Since finding the exact solution of BHTE for a complex system like tumor tissue is a challenging issue, so finite element method in the COMSOL Multiphysics software is used to capture more details in predicting the temperature distribution in tumor tissue during the hyperthermia therapy. Producing the random and array numbers for distribution of the MNPs into the tumor tissue was carried out with MATLAB software. Fe3O4 MNPs with the size of 100 nm with different distributions in the tumor were simulated and the temperature distribution of the tumor and normal tissue was calculated, taking into account the thermal conductivity, density, and heat capacity. Results: The distribution of temperature in the tumor depends on Fe3O4 MNPs distribution. Uniform distribution of MNPs has appropriate distribution in the tumor and normal tissue around it. And also the agglomeration of MNPs in the tumor tissue leads to non-uniformity of the temperature distribution of the inclusions. Conclusion: In this research, the temperature distribution of an ordinary tumor over the different distributions (random and array) of Fe3O4 MNPs was investigated via the finite element method. The bio heat transfer equation was used to calculate the thermal processes in the tumor and normal tissues around it. It should be taken into account the distribution states of the MNPs into the tumor tissue and its subsequently effects on the thermal distribution. Finally, results showed that uniform distribution of the magnetic nanoparticles into the tumor tissue exhibited more appropriated results.
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