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

Objective 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. Methods 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. Results The results of univariate linear regression fitting showed there was a clear linear relationship between the maximum depth, average depth, overall size of nasolabial fold wrinkles and age, and the regression equations were established. The significance test of regression coefficients showed P values were less than .0001. Conclusions With application of the regression model between parameters of nasolabial fold wrinkles and age, the effect of rejuvenation treatment can be quantitatively evaluated in terms of age, which has certain reference and promotion value.

Automated summary

By using 3D photography, researchers established a mathematical regression model between parameters of static nasolabial fold wrinkles and age, finding a clear linear relationship between these parameters and age. The significance of this relationship was further confirmed through statistical tests.