Classification of facial wrinkles among Chinese women

Abstract

It is generally recognized that Caucasians and Asians have different skin aging features. The aim of this study was to develop a facial wrinkle grading scale for Chinese women. Standard photographs were taken of 242 Chinese women. Six sets of 0 to 9 wrinkle scales with reference photographs and descriptions were selected, including grading scales for resting and hyperkinetic crow's feet, frontalis lines, glabellar frown lines, and nasolabial folds. To identify the scale by objective quantitative measurement, skin surface measurements from the Visioscan^® VC98 were used. To test the reliability and validity of our wrinkle scale, a multi-rater consensus method was used. A double-blind, randomized, vehicle-controlled 12-week study was conducted to use this clinical photo-score to evaluate the efficacy and safety of Centella triterpenes cream^® in treating crow's feet. A newly developed 10-point photographic and descriptive scale emerged from this study. The final atlas of these photographs contained a total of 6 sets with 10 pictures each. From 0 to 9, surface evaluation of smoothness (SEsm) parametric measurements decreased progressively, indicating that the scale increased inversely. Weighted kappa coefficients for intra-assessor were between 0.75-0.87. The overall Kendall's coefficient is 0.86 on the first rating and 0.87 on the second rating. Thirty-six volunteers were recruited and 35 subjects completed a 12-week trial. Clinical photo-score by investigator showed a significant difference (P<0.05) between the treatment side and control side after 4 weeks. Use of these scales in clinical settings to evaluate facial wrinkles in Asians individuals is recommended.

Keywords

facial wrinkles / classification / grading scale / photographic scale / Centella Triterpenes cream, evaluation

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Acknowledgments

We thank Hong-Sheng Wang, Tong Lin, MD Yi, Liu MD; Yan Wang, MD; Shu-Xian Shang, MD; Vu-Le Wu, MD; Li-Ming Huang, MD, for their contribution as assessors of the measurement tool validation. We also thank Adnan Nasir, MD (Chapel Hill, USA) and Crystal Shen, MD candidate (Mayo Medical School, USA) for language edits.

RIGHTS & PERMISSIONS

2017 2017 by the Journal of Biomedical Research. All rights reserved