TY - JOUR
T1 - Quantifying skin photodamage with spatial frequency domain imaging
T2 - Statistical results
AU - Travers, Jeffrey B.
AU - Poon, Chien
AU - Bihl, Trevor
AU - Rinehart, Benjamin
AU - Borchers, Christina
AU - Rohrbach, Daniel J.
AU - Borchers, Samia
AU - Trevino, Julian
AU - Rubin, Max
AU - Donnelly, Heidi
AU - Kellawan, Karl
AU - Carpenter, Lydia
AU - Bahl, Shalini
AU - Rohan, Craig
AU - Muennich, Elizabeth
AU - Guenthner, Scott
AU - Hahn, Holly
AU - Rkein, Ali
AU - Darst, Marc
AU - Mousdicas, Nico
AU - Cates, Elizabeth
AU - Sunar, Ulas
N1 - Publisher Copyright:
© 2019 Optical Society of America.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - 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 low, medium, and high grades, with the best performance of ∼70%, ∼76% and 80% for characterization of low- medium- and high-grade lesions, respectively. Ultimately, clinicians can use this noninvasive approach for risk assessment and frequent monitoring of high-risk populations.
AB - 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 low, medium, and high grades, with the best performance of ∼70%, ∼76% and 80% for characterization of low- medium- and high-grade lesions, respectively. Ultimately, clinicians can use this noninvasive approach for risk assessment and frequent monitoring of high-risk populations.
UR - https://www.scopus.com/pages/publications/85078704005
U2 - 10.1364/BOE.10.004676
DO - 10.1364/BOE.10.004676
M3 - Article
AN - SCOPUS:85078704005
SN - 2156-7085
VL - 10
SP - 4676
EP - 4683
JO - Biomedical Optics Express
JF - Biomedical Optics Express
IS - 9
ER -