Facial skin color assessment and proposed skin shade guide for maxillofacial prosthesis using cluster analysis in a cohort of Indian adults.

IF 1 Q3 DENTISTRY, ORAL SURGERY & MEDICINE
Priyadarshani Gulabrao Pawar, Anjali Borle, Pradnya R Patil, Rohit M Patil, Priyanka S Gadakh, Gita Rani
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引用次数: 0

Abstract

Aim: The precise estimation and replication of skin color are crucial for maxillofacial prosthesis. The study aimed to evaluate facial skin color with a colorimeter and suggest a skin shade guide and formula for color estimation.

Settings and design: An observational study conducted in the department of prosthodontics.

Materials and methods: Study was conducted on 368 individuals of Indian origin in age range of 20-45 years. The facial skin color was assessed in malar regions using SkinColorCatch colorimetric device and individual topography angle (ITA) and CIELAB L*a*b* values were noted.

Statistical analysis used: K-means clustering was utilized to propose a shade guide for maxillofacial prosthesis with 24 skin shades. Logistic regression analysis was conducted to propose a formula to estimate skin shade of the individuals.

Results: Based on cluster analysis, 368 subjects were divided into three clusters with similar characteristic as Cluster 1 with dark skin color in 88 (23.91%) subjects, Cluster 2 with medium skin color in 224 (60.87%) subjects, and Cluster 3 with light skin color in 56 (15.22%) subjects. The mean ITA and L*a*b* values for cluster 1 were -47.04° ±14.77°, 34.53 ± 4.31, 8.55 ± 2, 11.42 ± 3.7033, respectively. The mean ITA angle and L*a*b* values for Cluster 2 were 4.29° ±11.34° 51.67 ± 3.42, 8.79 ± 3.13, 21.36 ± 2.38, respectively. The mean ITA and L*a*b* values for Cluster 3 were 34.65 ± 4.29°, 62.66 ± 3.08, 6.53 ± 1.79, 17.73 ± 2.39, respectively. The proposed shade guide comprised a total of 24 different shades that were categorized into three primary colors according to three distinct clusters, each of which was further broken down into eight subclusters containing various shades within each cluster. Logistic regression analysis gave an equation as follows: Y =12.43 + 0.186X (Y = Predicted skin color, X = ITA angle).

Conclusions: Twenty-four facial skin shade tabs have been proposed based on ITA angle and CIELAB values. This comprehensive approach to categorize the shades will ensure a detailed and organized system for selecting and matching colors in maxillofacial prosthesis.

在印度成人队列中使用聚类分析对颌面假体进行面部肤色评估和建议的皮肤阴影指南。
目的:皮肤颜色的准确估计和复制是颌面部修复的关键。本研究旨在用色度计评估面部皮肤颜色,并提出肤色估计的指南和公式。背景和设计:在口腔修复科进行的观察性研究。材料与方法:对年龄在20 ~ 45岁的印度裔368人进行了研究。使用SkinColorCatch比色仪评估颧区面部皮肤颜色,并记录个体地形角(ITA)和CIELAB L*a*b*值。统计分析:采用K-means聚类方法,提出了颌面假体24种皮肤色度的色度指南。通过Logistic回归分析,提出了一个估算个体肤色的公式。结果:通过聚类分析,将368名受试者分为与第1类特征相似的3类,其中深色受试者88例(23.91%),中等肤色受试者224例(60.87%),浅色肤色受试者56例(15.22%)。聚类1的平均ITA值和L*a*b*值分别为-47.04°±14.77°、34.53±4.31、8.55±2、11.42±3.7033。聚类2的平均ITA角度和L*a*b*值分别为4.29°±11.34°、51.67±3.42、8.79±3.13、21.36±2.38。聚类3的ITA、L*a*b*平均值分别为34.65±4.29°、62.66±3.08°、6.53±1.79°、17.73±2.39°。拟议的色调指南包括总共24种不同的色调,根据三个不同的簇分为三种原色,每一种又进一步细分为八个子簇,每个子簇中包含不同的色调。Logistic回归分析得到方程:Y =12.43 + 0.186X (Y =预测肤色,X = ITA角度)。结论:基于ITA角度和CIELAB值,提出了24个面部皮肤阴影标签。这种全面的色调分类方法将确保一个详细和有组织的系统来选择和匹配颌面假体的颜色。
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来源期刊
The Journal of Indian Prosthodontic Society
The Journal of Indian Prosthodontic Society DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
2.20
自引率
8.30%
发文量
26
审稿时长
20 weeks
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