Modelado de distribución de nanopartículas e hipertermia magnética para el cáncer de mama

Abstract

This work presents the computational modeling and analysis of the distribution of magnetic nanoparticles in breast tissue in order to evaluate their behavior during hyperthermia therapies for breast cancer treatment. A representative geometry of the tumor tissue was defined based on real imaging data, integrating physical and topological characteristics that allow for the simulation of realistic boundary conditions. Through advanced image processing techniques, specific distributions of nanoparticles are analyzed on segmented images of breast tissue. Subsequently, the thermal uniformity generated by magnetic excitation is evaluated under different configurations, considering variables such as nanoparticle concentration, tumor shape, and the conditions of magnetic field application.