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Skin texture parameters of the dorsal hand in evaluating skin aging in China
Authors:Qian Gao  Li‐Wen Hu  Yang Wang  Wen‐Ying Xu  Nan‐Ning Ouyang  Guo‐Qing Dong  Song‐Tian Shi  Yang Liu
Affiliation:1. Department of Environmental Health, School of Public Health, China Medical University, Shenyang, China;2. HuZhou Entry‐Exit Inspection and Quarantine Bureau, Huzhou, China;3. Guangzhou Railway Institute of Health Inspection, Guangzhou, China;4. National Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing, China
Abstract:Background/purpose: There are various non‐invasive methods in skin morphology for assessing skin aging. The use of digital photography will make it easier and more convenient. In this study, we explored some skin texture parameters for evaluating skin aging using digital image processing. Methods: Two hundred and twenty‐eight subjects who lived in Sanya, China, were involved. Individual sun exposure history and other factors influencing skin aging were collected by a questionnaire. Meanwhile, we took photos of their dorsal hands. Skin images were graded according to the Beagley–Gibson system. These skin images were also processed using image analysis software. Five skin texture parameters, Angle Num., Angle Max., Angle Diff., Distance and Grids, were produced in reference to the Beagley–Gibson system. Results: All texture parameters were significantly associated with the Beagley–Gibson score. Among the parameters, the distance between primary lines (Distance) and the value of angle formed by intersection textures (Angle Max., Angle Diff.) were positively associated with the Beagley–Gibson score. However, there was a negative correlation between the number of grids (Grids), the number of angle (Angle Num.) and the Beagley–Gibson score. These texture parameters were also correlated with factors influencing skin aging such as sun exposure, age, smoking, drinking and body mass index. In multivariate analysis, Grids and Distance were mainly affected by age. But Angle Max. and Angle Diff. were mainly affected by sun exposure. Conclusion: It seemed that the skin surface morphologic parameters presented in our study reflect skin aging changes to some extent and could be used to describe skin aging using digital image processing.
Keywords:skin aging  skin texture  sun exposure  image processing
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