Paper
22 June 1999 Comparison of in-vivo skin models for near-infrared laser exposure
Thomas A. Eggleston, Michael A. Mitchell, Thomas E. Johnson, Robert L. Becker Jr., William P. Roach
Author Affiliations +
Proceedings Volume 3590, Lasers in Surgery: Advanced Characterization, Therapeutics, and Systems IX; (1999) https://doi.org/10.1117/12.350981
Event: BiOS '99 International Biomedical Optics Symposium, 1999, San Jose, CA, United States
Abstract
Current safety standards for lasers operating in the 1400 to 10,000 nm wavelength region are based on few observations at specific wavelengths using in vivo models that may not represent an accurate correlation to human integument. Based on experimental results conducted with Yorkshire pigs, these standards may not accurately reflect the potential for laser injury when humans are exposed to these wavelengths. It is our belief that one of the primary damage mechanisms involved in these laser injuries is due to energy absorption by skin pigmentation, or melanin. Qualitatively, Yorkshire pigs lack melanin in their skin when compared to a more highly pigmented animal, such as the Yucatan minipig. It is hypothesized that the Yucatan minipig is a more appropriate model for pigmented human skin. By comparing histologic samples taken from various locations on Yucatan minipigs and Yorkshire pigs, and comparing these to potential locations of skin exposure on humans, we present a discussion for the establishment of more appropriate locations for in vivo laser exposure studies.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas A. Eggleston, Michael A. Mitchell, Thomas E. Johnson, Robert L. Becker Jr., and William P. Roach "Comparison of in-vivo skin models for near-infrared laser exposure", Proc. SPIE 3590, Lasers in Surgery: Advanced Characterization, Therapeutics, and Systems IX, (22 June 1999); https://doi.org/10.1117/12.350981
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KEYWORDS
Skin

In vivo imaging

Laser safety

Statistical analysis

Statistical modeling

Distance measurement

Safety

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