Faculty of Health Sciences, European University of Valencia, 46010 Valencia, Spain.
Fisabio Foundation, 46020 Valencia, Spain.
Int J Environ Res Public Health. 2022 Apr 13;19(8):4697. doi: 10.3390/ijerph19084697.
Translucency is one of the most important parameters to be considered by digital systems when predicting the matching appearance and hence the quality of prosthodontic restoration work. Our objective has been to improve the effectiveness of the algorithmic decision systems employed by these devices by (a) determining whether Kubelka-Munk theory can be used as an algorithm for predicting restoration suitability, and (b) evaluating the correlation between the visual evaluation of prosthodontic materials and the predicted translucency based on the use of the ΔE*, OP, CR, and K/S algorithms. In this regard, three zirconia systems and one lithium disilicate have been spectrophotometrically and visually characterized. Based on the results of this study, it has been proven that zirconia systems and lithium disilicate systems exhibit different optical behaviors. The psychophysical experience suggests that none of the existing mathematical methods can adequately estimate translucency, spectrophotometric, and colorimetric techniques, and that which is perceived by an experienced observer. However, translucency evaluation through the K/S algorithmic decision system should not be disregarded. New methods to measure translucency should be developed to improve digital systems for prosthodontic applications.
半透明度是数字系统在预测修复体美观效果和质量时需要考虑的最重要参数之一。我们的目标是通过以下两种方法提高这些设备中算法决策系统的有效性：(a) 确定库贝尔卡-芒克理论是否可以用作预测修复体适用性的算法；(b) 评估基于使用 ΔE*、OP、CR 和 K/S 算法对修复体材料的视觉评估与预测半透明度之间的相关性。在这方面，我们对三种氧化锆系统和一种硅酸锂进行了分光光度法和视觉特征分析。基于这项研究的结果，我们已经证明氧化锆系统和硅酸锂系统表现出不同的光学行为。基于经验的观察表明，现有的任何数学方法都无法充分估计半透明度、分光光度法和比色法，以及有经验的观察者所感知到的半透明度。然而，通过 K/S 算法决策系统进行半透明度评估不应被忽视。应该开发新的方法来测量半透明度，以改进用于修复体应用的数字系统。
