Abstract
Introduction: Plasmonic photothermal therapy (PPTT) with noble metal nanoparticles (NPs) have gained great relevance as less
invasive platforms in the treatment of adenocarcinoma-type cancer tumors. The PPTT uses laser radiation to generate plasmonic effects in NPs that are distributed in the cancerous tissue, producing hyperthermia and cell death by apoptosis.
Objective: To obtain two-dimensional temperature distributions and the associated cell damage distributions in tumoral tissue
subjected to PPTT.
Method: A numerical methodology based on Radial Basis Functions (RBFs) is implemented for solving the Pennes or bioheat equation
and the Arrhenius and Three-state models for cellular damage estimation. The developed, validated and applied numerical methodologyis based on the method of approximate particular solutions in local formulation (LMAPS).
Results: The capability to solve problems with variable sources, multiple regions and different types of boundary conditions is shown
by the comparison with OpenFOAM computational tool based on finite volume method and numerical results reported in the literature. This is performed by solving hypothetical situations of heat transfer in tissues including 1D and 2D domains with metabolic sources, perfusion term and radiation thermal conversion.
Conclusions: The developed methodology is applied to a situation of PPTT in superficial tissue, from laser energy distribution
description to the local percentage of cellular damage. This numerical methodology is the basis of the analysis, optimization and designof PPTT application processes in clinical environments, considering its potential to solve complex geometries, time-varying boundary conditions and parameters and domains with multiple regions.
invasive platforms in the treatment of adenocarcinoma-type cancer tumors. The PPTT uses laser radiation to generate plasmonic effects in NPs that are distributed in the cancerous tissue, producing hyperthermia and cell death by apoptosis.
Objective: To obtain two-dimensional temperature distributions and the associated cell damage distributions in tumoral tissue
subjected to PPTT.
Method: A numerical methodology based on Radial Basis Functions (RBFs) is implemented for solving the Pennes or bioheat equation
and the Arrhenius and Three-state models for cellular damage estimation. The developed, validated and applied numerical methodologyis based on the method of approximate particular solutions in local formulation (LMAPS).
Results: The capability to solve problems with variable sources, multiple regions and different types of boundary conditions is shown
by the comparison with OpenFOAM computational tool based on finite volume method and numerical results reported in the literature. This is performed by solving hypothetical situations of heat transfer in tissues including 1D and 2D domains with metabolic sources, perfusion term and radiation thermal conversion.
Conclusions: The developed methodology is applied to a situation of PPTT in superficial tissue, from laser energy distribution
description to the local percentage of cellular damage. This numerical methodology is the basis of the analysis, optimization and designof PPTT application processes in clinical environments, considering its potential to solve complex geometries, time-varying boundary conditions and parameters and domains with multiple regions.
| Original language | Spanish (Colombia) |
|---|---|
| Article number | na |
| Pages (from-to) | 1 |
| Number of pages | 15 |
| Journal | INGE CUC |
| Volume | 21 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2 Dec 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Types Minciencias
- Artículos de investigación con calidad B
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