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Full-Text Articles in Medicine and Health Sciences
Quantifying Skin Photodamage With Spatial Frequency Domain Imaging: Statistical Results, Jeffrey B. Travers, Chien Poon, Trevor J. Bihl, Benjamin Rinehart, Christina E. Borchers, Daniel J. Rohrbach, Samia Borchers, Julian J. Trevino, Max Rubin, Heidi Donnelly, Karl Kellawan, Lydia Carpenter, Shalini Bahl, Craig A. Rohan, Elizabeth Muennich, Scott Guenthner, Holly Hahn, Ali Rkein, Marc Darst, Nico Mousdicas, Elizabeth E. Cates, Ulas Sunar
Quantifying Skin Photodamage With Spatial Frequency Domain Imaging: Statistical Results, Jeffrey B. Travers, Chien Poon, Trevor J. Bihl, Benjamin Rinehart, Christina E. Borchers, Daniel J. Rohrbach, Samia Borchers, Julian J. Trevino, Max Rubin, Heidi Donnelly, Karl Kellawan, Lydia Carpenter, Shalini Bahl, Craig A. Rohan, Elizabeth Muennich, Scott Guenthner, Holly Hahn, Ali Rkein, Marc Darst, Nico Mousdicas, Elizabeth E. Cates, Ulas Sunar
Dermatology Faculty Publications
We investigated the change in optical properties and vascular parameters to characterize skin tissue from mild photodamage to actinic keratosis (AK) with comparison to a published photodamage scale. Multi-wavelength spatial frequency domain imaging (SFDI) measurements were performed on the dorsal forearms of 55 adult subjects with various amounts of photodamage. Dermatologists rated the levels of photodamage based upon the photographs in blinded fashion to allow comparison with SFDI data. For characterization of statistical data, we used artificial neural networks. Our results indicate that optical and vascular parameters can be used to quantify photodamage and can discriminate between the stages as …