Jang Sue Im, Kim Eun Joo, Park Hyeokgon, Kim Hyun Jung, Suk Jang Mi, Kim Beom Joon, Lee John Hwan, Lee Hae Kwang
AMORE PACIFIC Corporation/R&D CENTER, Yongin-Si Gyeonggi-do, Korea.
Skin Res Technol. 2015 May;21(2):201-6. doi: 10.1111/srt.12177. Epub 2014 Aug 11.
BACKGROUND/PURPOSE: Nasolabial lines (NL) and wrinkles of the face are major features of aging. Wrinkles have been studied widely by morphological methods using 3-dimensional (3D) photographic analysis instrument, but NL were evaluated by visual scoring usually. To evaluate NL quantitatively, another method is needed. This study is purposed to find out quantitative method for evaluation of NL.
One hundred Korean female subjects aged 20 to 60 were recruited in this study. Facial image was taken using light source adjusted VISIA-CR(®) and 3-dimensional wrinkle depth on the NL area was evaluated by Phase shift rapid in vivo measuring of human skin (PRIMOS(®)). The pixel number of NL area and the angle were obtained using processed images. The severity of NL was assessed by visual score. Skin elasticity was measured by Cutometer(®) MPA580. Statistical significance was determined at P < 0.05.
The optical images obtained by light source adjusted VISIA-CR(®) were easy to distinguish NL and significantly increased age-dependently. And three parameters of elasticity (R2, R5, and R7) on NL area were gradually decreased with age. The Pearson correlation coefficient was -0.756 (P < 0.01) between R7 parameter and ages. Also the pixel number of NL area, angle, wrinkle depth on the NL area (Ra), and visual score were decreased elasticity-dependently. The pixel number of NL area was highly related to Ra (r = 0.567, P < 0.01) and visual score (r = 0.647, P < 0.01).
This study has shown that NL severity is related to decrease of dermal elasticity and age using quantitative new method by processing optical images.
背景/目的：鼻唇沟纹（NL）和面部皱纹是衰老的主要特征。皱纹已通过使用三维（3D）摄影分析仪器的形态学方法进行了广泛研究，但NL通常通过视觉评分进行评估。为了定量评估NL，需要另一种方法。本研究旨在找出评估NL的定量方法。
本研究招募了100名年龄在20至60岁之间的韩国女性受试者。使用光源调整后的VISIA-CR（®）拍摄面部图像，并通过人体皮肤相移快速体内测量（PRIMOS（®））评估NL区域的三维皱纹深度。使用处理后的图像获得NL区域的像素数量和角度。通过视觉评分评估NL的严重程度。使用Cutometer（®）MPA580测量皮肤弹性。在P < 0.05时确定统计学意义。
通过光源调整后的VISIA-CR（®）获得的光学图像易于区分NL，并且随年龄显著增加。NL区域的三个弹性参数（R2、R5和R7）随年龄逐渐降低。R7参数与年龄之间的Pearson相关系数为-0.756（P < 0.01）。此外，NL区域的像素数量、角度、NL区域皱纹深度（Ra）和视觉评分均随弹性降低而降低。NL区域的像素数量与Ra高度相关（r = 0.567，P < 0.01）和视觉评分（r = 0.647，P < 0.01）。
本研究表明，通过处理光学图像使用定量新方法，NL严重程度与皮肤弹性降低和年龄有关。
