Quantitative evaluation of rejuvenation treatment of nasolabial fold wrinkles by regression model and 3D photography

Image credit: Unsplash

Abstract

With the application of 3D photography, our study aimed to quantify parameters of static nasolabial fold wrinkles and establish mathematic regression model between parameters of wrinkles and age, further to quantitatively evaluate the effect of rejuvenation treatment in terms of age. From October 2016 to May 2018, 433 Chinese female volunteers, aged 25-60 years old, were enrolled in this study. Antera 3D camera was used to collect four parameters of static nasolabial fold wrinkles on the left and right sides of the volunteers, including overall size, average depth (mm), average width (mm), and maximum depth (mm). For those presented a linear relationship with age, univariate linear regression fitting was performed, followed by residual analysis, goodness of fit test, and significance test.

Publication
Journal of Cosmetic Dermatology
Hanchao Zhang
Hanchao Zhang
Ph.D. Candidate of Biostatistics
President of the Chinese Students and Scholars Association (CSSA)

My research interests include Machine Learning, Functional Data Analysis, and Imaging Data.

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