AI Article Synopsis

  • Photothermal therapy with nanoparticles offers a new way to treat cancer by generating heat through light interaction, but it faces challenges for clinical use.
  • Researchers utilized Monte Carlo simulations to better understand how heat is distributed in tumor and surrounding normal tissue, enhancing the current knowledge of thermal dose characterization.
  • Their findings, validated against experimental data, demonstrate that computer simulations can effectively assess the impact of heat on cell survival in both tumors and healthy tissue.

Article Abstract

Photothermal therapy using nanoparticles is a promising new approach for the treatment of cancer. The principle is to utilise plasmonic nanoparticle light interaction for efficient heat conversion. However, there are many hurdles to overcome before it can be accepted in clinical practice. One issue is a current poor characterization of the thermal dose that is distributed over the tumour region and the surrounding normal tissue. Here, we use Monte Carlo simulations of photon radiative transfer through tissue and subsequent heat diffusion calculations, to model the spatial thermal dose in a skin cancer model. We validate our heat rise simulations against experimental data from the literature and estimate the concentration of nanorods in the tumor that are associated with the heat rise. We use the cumulative equivalent minutes at 43 °C (CEM43) metric to analyse the percentage cell kill across the tumour and the surrounding normal tissue. Overall, we show that computer simulations of photothermal therapy are an invaluable tool to fully characterize thermal dose within tumour and normal tissue.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6723333PMC
http://dx.doi.org/10.3390/biom9080343DOI Listing

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