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Estimating the color of maxillary central incisors based on age and gender.

机译:根据年龄和性别估算上颌中切牙的颜色。

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STATEMENT OF PROBLEM: There is no scientific information regarding the selection of the color of teeth for edentulous patients. PURPOSE: The purpose of this study was to evaluate linear regression models that may be used to predict color parameters for central incisors of edentulous patients based on some characteristics of dentate subjects. MATERIAL AND METHODS: A spectroradiometer and an external light source were set in a noncontacting 45/0 degree (45-degree illumination and 0-degree observer) optical configuration to measure the color of subjects' vital craniofacial structures (maxillary central incisor, attached gingiva, and facial skin). The subjects (n=120) were stratified into 5 age groups with 4 racial groups and balanced for gender. Linear first-order regression was used to determine the significant factors (alpha=.05) in the prediction model for each color direction of the color of the maxillary central incisor. Age, gender, and color of the other craniofacial structures were studied as potential predictors. Final predictions in each color direction were based only on the statistically significant factors, and then the color differences between observed and predicted CIELAB values for the central incisors were calculated and summarized. RESULTS: The statistically significant predictors of age and gender accounted for 36% of the total variability in L*. The statistically significant predictor of age accounted for 16% of the total variability in a*. The statistically significant predictors of age and gender accounted for 21% of the variability in b*. The mean Delta (SD) between predicted and observed CIELAB values for the central incisor was 5.8 (3.2). CONCLUSIONS: Age and gender were found to be statistically significant determinants in predicting the natural color of central incisors. Although the precision of these predictions was less than the median color difference found for all pairs of teeth studied, and may be considered an acceptable precision, further study is needed to reduce this precision to the limit of detection.
机译:问题陈述:没有关于无牙患者牙齿颜色选择的科学信息。目的:本研究的目的是评估线性回归模型,该模型可用于根据齿状对象的某些特征来预测无牙患者中央门牙的颜色参数。材料与方法:将光谱仪和外部光源设置为非接触式45/0度(45度照明和0度观察者)光学配置,以测量受试者重要颅面结构(上颌中切牙,附着牙龈)的颜色和面部皮肤)。受试者(n = 120)被分为5个年龄段和4个种族,并且在性别上保持平衡。使用线性一阶回归来确定预测模型中上颌中切牙颜色的每个颜色方向的显着因子(alpha = .05)。年龄,性别和其他颅面结构的颜色被研究为潜在的预测因素。在每个颜色方向上的最终预测仅基于统计学上显着的因素,然后计算并汇总了中切牙的CIELAB观测值与预测值之间的色差。结果:年龄和性别具有统计学意义的预测因素占L *总变异性的36%。年龄具有统计学意义的预测因子占a *总变异性的16%。年龄和性别具有统计学意义的预测因素占b *变异性的21%。中切牙的CIELAB预测值和观察值之间的平均Delta(SD)为5.8(3.2)。结论:年龄和性别是预测中切牙自然颜色的统计学显着决定因素。尽管这些预测的精度小于所有研究的成对牙齿的平均色差,并且可以被认为是可以接受的精度,但仍需要进一步研究以将这种精度降低到检测极限。

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