A Correlation of the Glogau Scale With VISIA-CR Complexion Analysis Measurements in Assessing Facial Photoaging for Clinical Research

光老化 医学 皮肤老化 返老还童 相关性 皮肤病科 面部修复 外科 几何学 数学
作者
Sydney Oesch,Nicole R Vingan,Xingchen Li,John Hoopman,Yucel Akgul,Jeffrey M. Kenkel
出处
期刊:Aesthetic Surgery Journal [Oxford University Press]
卷期号:42 (10): 1175-1184 被引量:13
标识
DOI:10.1093/asj/sjac108
摘要

Historically, standard evaluations for photoaging have involved subjective analysis; recently, however, investigators have turned to noninvasive systems for more objective evaluation of facial aging.The aim of this study was to establish a clinical correlation between the Glogau Photoaging Scale and the VISIA-CR Complexion Analysis System (Canfield Imaging Systems, Fairfield, NJ), and thereby reduce intra- and interobserver variability when assessing photodamage.In total, 117 subjects aged between 18 and 89 years were included. Two-dimensional facial photographs were analyzed by 3 independent reviewers and assigned Glogau scores. Images were also captured and analyzed with VISIA software. Data were grouped by median Glogau score and compared between groups.All groups were statistically different (P < 0.05) for Spots, Wrinkles, and Remasked Wrinkles, except for Glogau 1 and 2 for Spots and Remasked Wrinkles. Scores for Wrinkles were plotted against age, and an exponential regression model was noted to be a better fit (R2 = 0.5) than a linear model (R2 = 0.47). The same was true for Spots with an exponential model (R2 = 0.36) compared with a linear model (R2 = 0.33). Scores were also evaluated based on sun exposure history, but no significant differences were observed.The results illustrate that an imaging system can be used to reliably determine objective scores correlating to Glogau photoaging evaluations, and indicate that aging appears to be an exponential process. Collectively, these findings will assist future investigations of facial aging and the therapeutic options available for facial skin rejuvenation, and enable objective assessment of treatment outcomes.
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