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Weather‐informed Light–tissue Model–Based Dose Planning for Indoor Daylight Photodynamic Therapy
Author(s) -
LaRochelle Ethan P. M.,
Chapman Michael Shane,
Maytin Edward V.,
Hasan Tayyaba,
Pogue Brian W.
Publication year - 2019
Publication title -
photochemistry and photobiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.818
H-Index - 131
eISSN - 1751-1097
pISSN - 0031-8655
DOI - 10.1111/php.13170
Subject(s) - daylight , sunlight , environmental science , photodynamic therapy , limiting , meteorology , remote sensing , computer science , optics , geography , physics , chemistry , engineering , mechanical engineering , organic chemistry
Daylight activation for photodynamic therapy (PDT) of skin lesions is now widely adopted in many countries as a less painful and equally effective treatment mechanism, as compared to red or blue light activation. However, seasonal daylight availability and transient weather conditions complicate light dose estimations. A method is presented for dose planning without placing a large burden on clinical staff, by limiting spectral measurements to a one‐time site assessment, and then using automatically acquired weather reports to track transient conditions. The site assessment tools are used to identify appropriate treatment locations for the annual and daily variations in sunlight exposure for clinical center planning. The spectral information collected from the site assessment can then be integrated with real‐time daily electronic weather data. It was shown that a directly measured light exposure has strong correlation (R 2 : 0.87) with both satellite cloud coverage data and UV index, suggesting that the automated weather indexes can be surrogates for daylight PDT optical dose. These updated inputs can be used in a dose‐planning treatment model to estimate photodynamic dose at depth in tissue. A simple standardized method for estimating light dose during daylight‐PDT could help improve intersite reproducibility while minimizing treatment times.