An Efficient Computational Model for Laser Induced Thermal Therapy for Cancer Treatment with Nanoparticle Inclusion
Y. Feng, D. Fuentes
Computational Bioengineering and Nanotechnology Lab, US
Keywords: nanoparticles, cancer treatment, laser-induced thermal therapy, computer simulation
Abstract:Nanoparticle-mediated laser therapy is a minimally invasive modality in treating tumors embedded in vital organs with poorly defined boundaries. However, the challenge is to account for the effect of nanoparticle inclusion in tissues, which is quite complex heterogeneous medium, in order to achieve optimal treatment outcomes. Nanoparticles, such as gold nanoshells, can be used as effective heat absorbers and enhance thermal energy deposition rate. In addition, these nanoparticles can improve the ability for destroying larger cancerous tissue volumes with lower thermal doses when they are delivered to the targeted regions. In this study, a three-dimensional finite element nonlinear transient bioheat transfer model with input of laser-tissue interaction calculation from Monte Carlo fluence model is constructed. This model can reliably characterize changes in tissue properties and accurately predict temperature fields comparable to those measured by in vivo magnetic resonance temperature imaging (MRTI) technique.