Quantitative evaluation of elderly skin based on digital image analysis
Quantitative evaluation of elderly skin based on digital image analysis
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DOI：
10.1111/j.1600-0846.2007.00278.x
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发表时间：
2008-05-01
影响因子：
2.2
通讯作者：
Tadaka, Etsuko
中科院分区：
文献类型：
--
作者：
Tanaka, Hiromasa;Nakagami, Gojiro;Tadaka, Etsuko
背景：对检查时健康但易患疾病的皮肤状态的评估，完全基于临床医生的主观评估。目的：我们聚焦于皮肤纹理，旨在开发一种新的方法，利用数字皮肤图像来评估老年人皮肤完整性，通过验证专家对老年人皮肤图像的临床评估的可靠性来创建一个“黄金标准”，并通过分析数字皮肤图像来确定解释专家评估皮肤状况的指标。方法：收集34名受试者的208张皮肤图像。然后我们对图像进行了处理和分析。图像分析采用改进的小林方法和纹理分析方法。Kobayashi的方法包括密度变换、交叉二值化、短直线匹配和主沟提取以及各项指标的计算。对交叉二值化图像进行纹理分析，以量化一致性。另一方面，图像中的皮肤纹理由六名整形外科医生使用10分的利克特评分标准进行评分，1分代表“非常差的规律性”，10分代表“非常好的规律性”。用组内相关系数(ICC)检验评分者间信度。结果：当包含所有评分者时，评分者的ICC为0.92(95%可信区间；0.91~0.94)，因此使用了所有评价者的得分。逐步多元回归分析显示，时间间隔指数(L)、厚度指数(T-AVE)、能量指数(0度)、熵指数(45度)独立解释了临床医生的评价。多元回归方程中R-2为0.59。结论：皮肤图像定量评价及其分析是判断老年人皮肤完整性的一种方法。定义了用于解释专家临床评价的指标，这些指标简单地通过皮肤图像来获得。
Background: The evaluation of the skin state when it is healthy at the time of examination, but predisposed to disease, is based solely on the subjective assessment of clinicians. This assessment may vary from moment to moment and from rater to rater.Purpose: We focused on skin texture and aimed to develop a new method to evaluate skin integrity of the elderly using a digital skin image, by verifying the reliability of the clinical evaluation of elderly skin image by specialists to create a 'gold standard,' and by analyzing a digital skin image to identify the indices that explain the skin condition as evaluated by specialists.Methods: A total of 208 skin images were collected from 34 subjects. And then we processed and analyzed images. Modified Kobayashi's method and texture analysis method were used in image analysis. Kobayashi's method included the process of density transformation, cross binarization, short straight line matching and extraction of main sulcus, and calculation of each index. Texture analysis was performed on cross-binarized images for quantification of uniformity. On the other hand, skin textures in images were scored by six plastic surgeons, using a 10-point Likert scale, where 1 represented 'very bad regularity' and 10 represented 'very good regularity.' The inter-rater reliability was verified by means of the intraclass correlation coefficients (ICC). Finally, stepwise multiple regression analysis was used to extract useful indices; where the clinical evaluation of the physicians (gold standard) was considered to be a dependent variable, and indices obtained from digital skin image analysis to be independent variables.Results: The ICC of raters was 0.92 (95% confidence interval; 0.91-0.94) when including all raters, therefore the score of all raters was used. As a result of stepwise multiple regression, the index of interval (L), thickness (T-ave), energy 0 degrees, and entropy 45 degrees independently explained the clinician evaluation. R-2 in multiple regression equation was 0.59.Conclusions: It is shown that quantitative evaluation using skin images and their analysis is one method of determining skin integrity in the elderly. The indices to explain the clinical evaluation of specialists were defined and these indices were obtained simply by using a skin image.