Kim Hanji, Seo Jung Yeon, Leem Sangseob, You Seung Won, Kim Yunkwan, Kang Nae Gyu
Research and Innovation Center, R&D Institute, LG Household & Health Care (LG H&H), Ltd, Seoul, 07795, Republic of Korea.
Sci Rep. 2025 Apr 8;15(1):11927. doi: 10.1038/s41598-025-89264-x.
The rough surface of lip skin is a dermatological and aesthetic issue that affects facial appearance. While several studies have addressed this common problem, none of them have exclusively utilized image analysis techniques. In this study, we aimed to quantify lip desquamation from facial images in a total of 55 participants and compare the results to those obtained from the tape-stripping method. The central region of the lower lip was extracted from each facial image, and global thresholding was applied using the threshold value T, which is defined as Mean + 2.5 SD. In this equation, Mean and SD represent the average and standard deviation of each grayscale values within the image, respectively. The desquamation rate was calculated as the proportion of pixels corresponding to desquamated flakes within the analyzed region. We found that our approach accurately represented the lip surface states, with a strong correlation with visual assessment (VA) scores (r = 0.715, p < 0.001). To investigate the relationship between lip desquamation and age, we further analyzed the facial images of 1,000 individuals. A gradual decline in lip desquamation with age was observed in males (r = -0.151, p < 0.001) and females over 38 years (r = -0.133, p < 0.05). In contrast, the variation of lip desquamation among females under the age of 38 showed an increasing trend (r = 0.234, p < 0.01). It is notable that the most pronounced differences between sexes were only observed in individuals in their 20s (p < 0.001). Such results imply that the characteristics of epithelial layer of lip can be segmented based on chronological age and sex. These notable changes in lip desquamation were discovered for the first time in this study. Given the current ease of acquiring image data, our image-based method has the potential to advance the lip skin research.
唇部皮肤的粗糙表面是一个影响面部外观的皮肤学和美学问题。虽然已有多项研究探讨了这个常见问题,但没有一项研究专门使用图像分析技术。在本研究中,我们旨在对总共55名参与者面部图像中的唇部脱屑情况进行量化,并将结果与胶带剥离法所得结果进行比较。从每张面部图像中提取下唇的中央区域,并使用阈值T进行全局阈值处理,阈值T定义为均值 + 2.5标准差。在此公式中,均值和标准差分别代表图像内每个灰度值的平均值和标准差。脱屑率计算为分析区域内对应于脱屑薄片的像素比例。我们发现我们的方法能够准确地反映唇部表面状态,与视觉评估(VA)分数具有很强的相关性(r = 0.715,p < 0.001)。为了研究唇部脱屑与年龄之间的关系,我们进一步分析了1000人的面部图像。在男性(r = -0.151,p < 0.001)和38岁以上的女性(r = -0.133,p < 0.05)中,观察到唇部脱屑随年龄逐渐下降。相比之下,38岁以下女性的唇部脱屑变化呈上升趋势(r = 0.234,p < 0.01)。值得注意的是,仅在20多岁的个体中观察到两性之间最显著的差异(p < 0.001)。这些结果意味着唇部上皮层的特征可以根据实际年龄和性别进行区分。唇部脱屑的这些显著变化是本研究首次发现的。鉴于当前获取图像数据的便捷性,我们基于图像的方法有潜力推动唇部皮肤研究。