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Comparison of Validated Assessment Scales and 3D digital fringe projection method to assess lifetime development of wrinkles in men

机译:经验证的评估量表和3D数字条纹投影方法评估男性皱纹终生发展的比较

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Background: The assessment of wrinkle severity is an important evaluation criterion to determine the efficacy of aesthetic treatments. Aim of the present study was to compare Validated Assessment Scales (VAS) and 3D fringe projection (PRIMOS?) for the evaluation of facial wrinkles in men and to determine standard values for each level of the VAS. Methods: 150 male subjects (20 to 70 years) were selected following strict criteria. Wrinkle severity at periorbital, glabella and forehead lines was evaluated using the 3D fringe projection and 5-point photonumeric VAS. The results of both methods were matched by determining quantitative values for each level of the clinical rating scale. Results: High average correlation with age was found for VAS, Wd, maxWd, lWd, Wv, aWa and pWa. With a Wd of 60 to 70μm crow's feet and forehead lines are pronounced first, whereas glabella lines develop in subject's mid-forties, by an Wd of 180μm. Wrinkle severity increases at all locations every 10 years of age by one level of the VAS. This increase corresponds to an increase of Wd about 100 μm at glabella and forehead lines, and about 50 μm at crow's feet. Conclusion: The presented reference values for the Validated Assessment Scale are an important step towards an optimized assessment of skin aging and aesthetic dermatological treatments. The data helps to combine the precession of a biophysical measurement with the practical relevance of a clinical rating.
机译:背景:皱纹严重程度的评估是确定美容治疗效果的重要评估标准。本研究的目的是比较验证评估量表(VAS)和3D条纹投影(PRIMOS?)来评估男性面部皱纹,并确定各个水平的VAS的标准值。方法:按照严格的标准选择150名男性受试者(20至70岁)。使用3D条纹投影和5点光数字VAS评估了眶周,眉间和前额线的皱纹严重程度。两种方法的结果通过确定临床评定量表每个水平的定量值进行匹配。结果:VAS,Wd,maxWd,lWd,Wv,aWa和pWa与年龄高度相关。 Wd为60至70μm时,鱼尾纹和前额线最明显,而在受试者的四十多岁时则出现眉间纹,其Wd为180μm。每10年,皱纹的严重程度在所有位置都会增加VAS一级。这种增加对应于在眉间和前额线上的Wd增大约100μm,在鱼尾纹处的Wd增大约50μm。结论:所提出的经验证的评估量表的参考值是朝着优化皮肤老化和美容皮肤病学治疗迈进的重要一步。数据有助于将生物物理测量的进动与临床评级的实际相关性结合起来。

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