Dosimetry in cranial photobiomodulation therapy: effect of cranial thickness and bone density

This research aims to examine the influence of human skull bone thickness and density on light penetration in PBM therapy across different wavelengths, focusing on how these bone characteristics affect the absorption of therapeutic light. Analyses explored the effect of skull bone density and thickn...

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Bibliographic Details
Published in:Lasers in medical science 2024-02, Vol.39 (1), p.76-76, Article 76
Main Authors: Castaño-Castaño, Sergio, Zorzo, Candela, Martínez-Esteban, Juan Á., Arias, Jorge L.
Format: Article
Language:English
Subjects:
Bone composition
Bone Density
Chemical composition
Correlation
Dentistry
Dosimetry
Head
Humans
Lasers
Light
Light penetration
Low-Level Light Therapy
Medicine
Medicine & Public Health
Mineral composition
Optical Devices
Optics
Original Article
Photonics
Quantum Optics
Radiometry
Skull
Therapy
Thickness
Wavelengths
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Summary:This research aims to examine the influence of human skull bone thickness and density on light penetration in PBM therapy across different wavelengths, focusing on how these bone characteristics affect the absorption of therapeutic light. Analyses explored the effect of skull bone density and thickness on light penetration in PBM, specifically using Low-Level Laser Therapy (LLLT) for efficacy prediction. Measurements of bone thickness and density were taken using precise tools. This approach emphasizes LLLT's significance in enhancing PBM outcomes by assessing how bone characteristics influence light penetration. The study revealed no significant correlation between skull bone density and thickness and light penetration capability in photobiomodulation (PBM) therapy, challenging initial expectations. Wavelengths of 405 nm and 665 nm showed stronger correlations with bone density, suggesting a significant yet weak impact. Conversely, wavelengths of 532 nm, 785 nm, 810 nm, 830 nm, 980 nm, and 1064 nm showed low correlations, indicating minimal impact from bone density variations. However, data variability (R 2  
ISSN:1435-604X
0268-8921
1435-604X
DOI:10.1007/s10103-024-04024-z