Hamer M A, Jacobs L C, Lall J S, Wollstein A, Hollestein L M, Rae A R, Gossage K W, Hofman A, Liu F, Kayser M, Nijsten T, Gunn D A
Department of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Netherlands Genomics Initiative (NGI) - sponsored Netherlands Consortium for Healthy Aging (NCHA), Leiden, The Netherlands.
Skin Res Technol. 2015 Nov;21(4):392-402. doi: 10.1111/srt.12205. Epub 2015 Jan 20.
Accurate measurement of the extent skin has aged is crucial for skin aging research. Image analysis offers a quick and consistent approach for quantifying skin aging features from photographs, but is prone to technical bias and requires proper validation.
Facial photographs of 75 male and 75 female North-European participants, randomly selected from the Rotterdam Study, were graded by two physicians using photonumeric scales for wrinkles (full face, forehead, crow's feet, nasolabial fold and upper lip), pigmented spots and telangiectasia. Image analysis measurements of the same features were optimized using photonumeric grades from 50 participants, then compared to photonumeric grading in the 100 remaining participants stratified by sex.
The inter-rater reliability of the photonumeric grades was good to excellent (intraclass correlation coefficients 0.65-0.93). Correlations between the digital measures and the photonumeric grading were moderate to excellent for all the wrinkle comparisons (Spearman's rho ρ = 0.52-0.89) bar the upper lip wrinkles in the men (fair, ρ = 0.30). Correlations were moderate to good for pigmented spots and telangiectasia (ρ = 0.60-0.75).
These comparisons demonstrate that all the image analysis measures, bar the upper lip measure in the men, are suitable for use in skin aging research and highlight areas of improvement for future refinements of the techniques.
准确测量皮肤老化程度对于皮肤老化研究至关重要。图像分析为从照片中量化皮肤老化特征提供了一种快速且一致的方法，但容易产生技术偏差，需要进行适当验证。
从鹿特丹研究中随机选取75名北欧男性和75名北欧女性的面部照片，由两名医生使用数字量表对皱纹（全脸、额头、鱼尾纹、鼻唇沟和上唇）、色素沉着斑和毛细血管扩张进行分级。利用50名参与者的数字量表评分对相同特征的图像分析测量进行优化，然后与其余100名按性别分层的参与者的数字量表评分进行比较。
数字量表评分的评分者间信度良好至优秀（组内相关系数0.65 - 0.93）。除男性上唇皱纹外，所有皱纹比较的数字测量与数字量表评分之间的相关性为中等至优秀（斯皮尔曼相关系数ρ = 0.52 - 0.89）（男性上唇皱纹相关性一般，ρ = 0.30）。色素沉着斑和毛细血管扩张的相关性为中等至良好（ρ = 0.60 - 0.75）。
这些比较表明，除男性上唇测量外，所有图像分析测量均适用于皮肤老化研究，并突出了该技术未来改进的改进领域。
