Open Access
1 September 2011 Choosing optimal wavelength for photodynamic therapy of port wine stains by mathematic simulation
Ying Wang, Ying Gu, Zhaohui Zuo, Naiyan Huang
Author Affiliations +
Abstract
Many laser wavelengths have been used in photodynamic therapy (PDT) for port wine stains (PWS). However, how these wavelengths result in different PDT outcomes has not been clearly illuminated. This study is designed to analyze which wavelengths would be the most advantageous for use in PDT for PWS. The singlet oxygen yield in PDT-treated PWS skin under different wavelengths at the same photosensitizer dosage was simulated and the following three situations were simulated and compared: 1. PDT efficiency of 488, 532, 510, 578, and 630 nm laser irradiation at clinical dosage (100 mW/cm2, 40 min); 2. PDT efficiency of different wavelength for PWS with hyperpigmentation after previous PDT; 3. PDT efficiency of different wavelengths for PWS, in which only deeply located ectatic vessels remained. The results showed that singlet oxygen yield is the highest at 510 nm, it is similar at 532 nm and 488 nm, and very low at 578 nm and 630 nm. This result is identical to the state in clinic. According to this theoretical study, the optimal wavelength for PDT in the treatment of PWS should near the absorption peaks of photosensitizer and where absorption from native chromophores (haemoglobin and melanin) is diminished.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ying Wang, Ying Gu, Zhaohui Zuo, and Naiyan Huang "Choosing optimal wavelength for photodynamic therapy of port wine stains by mathematic simulation," Journal of Biomedical Optics 16(9), 098001 (1 September 2011). https://doi.org/10.1117/1.3616127
Published: 1 September 2011
Lens.org Logo
CITATIONS
Cited by 15 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Photodynamic therapy

Oxygen

Skin

Absorption

Tissue optics

Mass attenuation coefficient

Tissues

Back to Top