Scientific Reports (Nov 2023)

Monte Carlo based dosimetry of extraoral photobiomodulation for prevention of oral mucositis

  • Anna N. Yaroslavsky,
  • Tyler W. Iorizzo,
  • Amy F. Juliano,
  • Ather Adnan,
  • James D. Carroll,
  • Stephen T. Sonis,
  • Christine N. Duncan,
  • Wendy B. London,
  • Nathaniel S. Treister

DOI
https://doi.org/10.1038/s41598-023-47529-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 10

Abstract

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Abstract Photobiomodulation therapy (PBMT) is recommended for prevention and treatment of oral mucositis, a painful condition that occurs in cancer patients. Intraoral PBMT is limited to treating distal oral mucosa and oropharynx. Extraoral PBMT may provide a more efficient intervention. The goal of this study was to develop a clinically viable protocol for extraoral PBMT. Monte Carlo modeling was used to predict the distribution of 850 nm light for four treatment sites, using anatomical data obtained from MRI and optical properties from the literature. Simulated incident light power density was limited to 399 mW/cm2 to ensure treatment safety and to prevent tissue temperature increase. The results reveal that total tissue thickness determines fluence rate at the oral mucosa, whereas the thickness of individual tissue layers and melanin content are of minor importance. Due to anatomical differences, the fluence rate varied greatly among patients. Despite these variations, a universal protocol was established using a median treatment time methodology. The determined median treatment times required to deliver efficacious dose between 1 and 6 J/cm2 were within 15 min. The developed PBMT protocol can be further refined using the combination of pretreatment imaging and the Monte Carlo simulation approach implemented in this study.