Version 1
: Received: 16 September 2024 / Approved: 16 September 2024 / Online: 18 September 2024 (05:31:26 CEST)
How to cite:
Cassemiro, A.; Motta, L. J.; Fiadeiro, P.; Fonseca, E. Predictive Model of the Effects of Skin Phototype and Body Mass Index on Photobiomodulation Therapy for Orofacial Disorders. Preprints2024, 2024091232. https://doi.org/10.20944/preprints202409.1232.v1
Cassemiro, A.; Motta, L. J.; Fiadeiro, P.; Fonseca, E. Predictive Model of the Effects of Skin Phototype and Body Mass Index on Photobiomodulation Therapy for Orofacial Disorders. Preprints 2024, 2024091232. https://doi.org/10.20944/preprints202409.1232.v1
Cassemiro, A.; Motta, L. J.; Fiadeiro, P.; Fonseca, E. Predictive Model of the Effects of Skin Phototype and Body Mass Index on Photobiomodulation Therapy for Orofacial Disorders. Preprints2024, 2024091232. https://doi.org/10.20944/preprints202409.1232.v1
APA Style
Cassemiro, A., Motta, L. J., Fiadeiro, P., & Fonseca, E. (2024). Predictive Model of the Effects of Skin Phototype and Body Mass Index on Photobiomodulation Therapy for Orofacial Disorders. Preprints. https://doi.org/10.20944/preprints202409.1232.v1
Chicago/Turabian Style
Cassemiro, A., Paulo Fiadeiro and Elsa Fonseca. 2024 "Predictive Model of the Effects of Skin Phototype and Body Mass Index on Photobiomodulation Therapy for Orofacial Disorders" Preprints. https://doi.org/10.20944/preprints202409.1232.v1
Abstract
Monte Carlo techniques have been extensively used for planning laser-based clinical procedures such as photobiomodulation. However, the effect of several biological tissue characteristics, including morphological structure and physiological parameters, has not been carefully addressed in many applications. Specifically, many questions remain concerning the effect of skin phototype and body mass index on the efficacy of photobiomodulation for extraoral therapies. To address these questions, a Monte Carlo simulation model was developed to analyze the effects of body mass index-dependent skin structure and Fitzpatrick skin type, specifically tailored for the morphological characteristics of cheek tissue. The model describes the settings of a typical oral photobiomodulation treatment protocol for pain relief, namely the use of 660 nm and 808 nm laser wavelengths and a therapeutic dose of 2.0 J/cm² on the masseter muscle. The simulations were used to train a machine learning predictive model aimed at accelerating the treatment planning stage and assessing the importance of patient-specific parameters. A multiple regression approach was adopted to predict muscle dose and treatment time for the effective delivered dose.
Keywords
photobiomodulation; Monte Carlo; laser dosimetry; machine learning
Subject
Physical Sciences, Optics and Photonics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
