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. 2023 Jan 12;16(2):761.
doi: 10.3390/ma16020761.

Development of Thickness-Dependent Predictive Methods for the Estimation of the CIEL*a*b* Color Coordinates of Monolithic and Layered Dental Resin Composites

Affiliations

Development of Thickness-Dependent Predictive Methods for the Estimation of the CIEL*a*b* Color Coordinates of Monolithic and Layered Dental Resin Composites

Maria Tejada-Casado et al. Materials (Basel). .

Abstract

Usually, dentin and enamel shades are layered in dental restorations with the purpose of mimicking the natural appearance of teeth. The main objective of this study was to develop and assess accuracy of a color-prediction method for both monolithic and layered dental resin-based composites with varying shades and under different illuminants. A total of 15 different shades of VITAPAN Excell, VITAPAN Dentine and VITA Physiodens as well as VITA Enamel of five different thicknesses (0.5-2.5 mm range) were used to manufacture monolithic and layered samples. A non-contact spectroradiometer with CIE 45∘/0∘ geometry was used to measure the color of all samples over a standard ceramic black background. Second-degree polynomial regression was used as predictive method for CIE-L*a*b* color coordinates. Performance of predictive models was tested using the CIEDE2000 total color difference formula (ΔE00), while accuracy was evaluated by comparative assessment of ΔE00 with corresponding 50:50% acceptability (AT00) and perceptibly (PT00) thresholds for dentistry. A mean color difference between measured (real) and predicted color of ΔE00=1.71, with 62.86% of the color differences below AT00 and 28.57% below PT00, was registered for monolithic samples. For bi-layered samples, the mean color difference was roughly ΔE00=0.50, with generally 100% and more than 85% of the estimations below AT00 and PT00, respectively. The predictive method allowed highly accurate color estimations for both monolithic and layered dental resin-based composites with varying thicknesses and under different illuminations. These results could be useful to maximize the clinical success of dental restorations.

Keywords: color prediction; color thresholds; dental resin composites; linear regression.

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Conflict of interest statement

Maria Tejada Casado is a PhD Student supported by the University of Granada and VITA Zahnfabrik H. Rauter GmbH & Co. KG (OTRI Contract 4346).

Figures

Figure 1
Figure 1
Samples included in the training set (blue) and testing set (black). (a) For monolithic samples, each thickness is used as a test sample while the other four thicknesses are included in the training set. (b) For bi-layered samples, 25 dentine + enamel combinations are obtained and divided into 9-samples training set and 16-samples testing set.
Figure 2
Figure 2
Examples of best-fit-curve (top) and best-fit-surface (bottom) for the CIE-L*, CIE-a* and CIE-b* color coordinates for monolithic and layered samples. Blue dots represent the values corresponding to the training set samples and red dots the values predicted by the model for a specific thickness.

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