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在一组印度成年人中使用聚类分析对面部皮肤颜色进行评估并提出颌面修复体的肤色指南。

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

作者信息

Pawar Priyadarshani Gulabrao, Borle Anjali, Patil Pradnya R, Patil Rohit M, Gadakh Priyanka S, Rani Gita

机构信息

Department of Prosthodontics Sharad Pawar Dental College and Hospital, Wardha, Maharashtra, India.

Department of Periodontology, SMBT Institute of Dental Sciences and Research, New Nashik, Maharashtra, India.

出版信息

J Indian Prosthodont Soc. 2024 Oct 1;24(4):366-373. doi: 10.4103/jips.jips_194_24. Epub 2024 Oct 15.

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 Lab* 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 Lab* 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 Lab* 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 Lab* 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.

摘要

目的

精确估计和复制肤色对于颌面修复体至关重要。本研究旨在用色度计评估面部肤色,并提出一种肤色指南及颜色估计公式。

设置与设计

在口腔修复科进行的一项观察性研究。

材料与方法

对368名年龄在20 - 45岁之间的印度裔个体进行研究。使用SkinColorCatch比色设备在颧区评估面部肤色,并记录个体地形角(ITA)和CIELAB Lab*值。

所用统计分析

采用K均值聚类法为颌面修复体提出一个包含24种肤色的色标指南。进行逻辑回归分析以提出一个估计个体肤色的公式。

结果

基于聚类分析,368名受试者被分为三个具有相似特征的聚类。聚类1中88名(23.91%)受试者为深色皮肤,聚类2中224名(60.87%)受试者为中等肤色,聚类3中56名(15.22%)受试者为浅色皮肤。聚类1的平均ITA和Lab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角和Lab值分别为4.29°±11.34°、51.67±3.42、8.79±3.13、21.36±2.38。聚类3的平均ITA和Lab*值分别为34.65±4.29°、62.66±3.08、6.53±1.79、17.73±2.39。所提出的色标指南总共包括24种不同的色调,根据三个不同的聚类分为三种原色,每个聚类又进一步细分为八个子聚类,每个子聚类包含该聚类内的各种色调。逻辑回归分析得出方程如下:Y =12.43 + 0.186X(Y =预测肤色,X = ITA角)。

结论

基于ITA角和CIELAB值提出了24个面部肤色标签。这种对色调进行分类的综合方法将确保在颌面修复体中选择和匹配颜色时有一个详细且有条理的系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0619/11614129/bfeb1533b39b/JIPS-24-366-g001.jpg

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