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Prediction of Optical Efficacy of Vital Tooth Bleaching Using Regression Analysis

机译:使用回归分析预测重要牙齿漂白的光学功效

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摘要

Establishing a colorimetric guideline to predict the effectiveness of tooth bleaching could produce a more reliable dental treatment. The purpose of this study was to evaluate the effectiveness of tooth bleaching and to test the predictability of tooth color changes. A 10% carbamide peroxide bleaching system was used in studies at Harvard University and at Iwate Medical University in Japan. L*, a*, and b* values (CIELAB) for pre- and postbleaching were obtained and color differences (ΔE) were calculated. The b* and L* values of the original tooth color indicated a relatively strong to moderate correlation with ΔE values, whereas a* showed a weak correlation. The multiple-regression equation obtained from the color data of Harvard subjects performed better than the predictive model. The predicted ΔE correlated strongly with the observed ΔE (r=0.78). The validation of this equation on data collected from Iwate confirmed the strong correlation (r=0.74).
机译:建立比色准则以预测牙齿漂白的效果可以产生更可靠的牙科治疗。这项研究的目的是评估牙齿漂白的有效性,并测试牙齿颜色变化的可预测性。哈佛大学和日本岩手医科大学的研究使用了10%的过氧化脲酰胺系统。获得了漂白前和漂白后的L *,a *和b *值(CIELAB),并计算了色差(ΔE)。原始牙齿颜色的b *和L *值表明与ΔE值具有相对强到中等的相关性,而a *显示出较弱的相关性。从哈佛受试者的颜色数据获得的多元回归方程的性能优于预测模型。预测的ΔE与观测到的ΔE密切相关(r = 0.78)。从岩手县收集的数据对该方程的验证证实了很强的相关性(r = 0.74)。

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