У оквиру семинара Центра за фотонику, у организацији Лабораторије за нанофотонику, у уторак, 9. јуна 2026. године у 13 часова у читаоници библиотеке „Др Драган Поповић“, др Никола Бошковић одржаће предавње:
Numerical Modeling of Radiofrequency Ablation of Tumors Using Heterogeneous Porous Tissue Models
САЖЕТАК:
Radiofrequency ablation (RFA) is one of the most widely used minimally invasive methods for the local destruction of tumor tissue using high-frequency electrical current. Treatment success depends on numerous parameters, including the electrical and thermal properties of the tissue, tumor geometry, blood perfusion, and the spatial heterogeneity of the biological environment. Due to the complexity of these processes, numerical modeling serves as a significant tool for the analysis and optimization of ablative procedures.
The simulation employs a three-dimensional RFA model developed using open-source finite element method (FEM) software. The model encompasses the electrical calculation of potential and electric field distribution within the tissue, the computation of heat generation via Joule heating, and a time dependent analysis of heat transfer and thermal necrosis development. Particular attention is dedicated to modeling the tumor as a heterogeneous porous medium, where porosity varies continuously within the tumor volume in accordance with the physiological characteristics of the tissue.
The developed model enables the analysis of the impact of spatial porosity distribution on temperature fields, tissue damage dynamics, and changes in electrical conductivity during ablation. The results demonstrate that the heterogeneous structure of the tumor can significantly influence both the morphology and dimensions of the necrosis zone, as well as the distribution of electrical energy within the treated region. These findings underscore the importance of incorporating realistic biophysical parameters into numerical models, representing a crucial step toward the development of personalized systems for planning and optimizing ablative therapies.
A specific contribution of this work is the introduction of a continuous spatial porosity distribution within the tumor and the subsequent analysis of its impact on the electro-thermal behavior of the tissue during ablation. This approach enables a more realistic representation of the complex microstructure of tumor tissue compared to conventional homogeneous models, thereby opening the possibility for the development of advanced, simulation-based personalized therapy protocols.