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Can we use the translucency parameter to predict the CAD/CAM ceramic restoration aesthetic?

Jie Wang, Jiawei Yang, Kaige Lv, Hongming Zhang, Hui Huang, Xinquan Jiang

2023Dental Materials27 citationsDOIOpen Access PDF

Abstract

OBJECTIVES: To evaluate the effects of background color, ceramic type and coping thickness on masking ability (ΔE) and translucency parameter (TP) of CAD/CAM lithium disilicate glass-ceramic/monolithic zirconia and, to determine the correlations between coping thickness, TP and ΔE. METHODS: A total of 120 ceramic specimens (2 mm, 1 mm and 0.5 mm thickness; n = 10) of four CAD/CAM ceramics: IPS e.max, IPS ZirCAD, Upcera Li CAD and Upcera TT CAD, were studied. Specimens were tested over nine fabricated backgrounds: A1, A2, A3.5, ND2 and ND7 shade resin-based composites, cobalt-chromium alloy (CC), medium precious alloy (MPA), black (B) and white (W). CIELab values (L*, a* and b*), color difference (ΔE) and translucency parameter (TP) were measured and calculated using a digital spectrophotometer (color i7, X-Rite, Pantone®). Data were analyzed using the Shapiro-Wilk test, one-way ANOVA, three-way ANOVA, independent t-tests and Tukey post-hoc tests (p < 0.05). RESULTS: 2 mm CAD/CAM ceramics showed ideal color matching (ΔE<2.6) over different backgrounds, except for CC, B and W backgrounds. Monolithic zirconia had lower ΔE values than lithium disilicate glass-ceramics. ΔE and TP values significantly reduced with the increased coping thickness (p < 0.05). Regardless of ceramic type and thickness, a strong TP-SD of ΔE correlation was observed. SIGNIFICANCE: CAD/CAM ceramic restoration color was significantly affected by background color, ceramic type and coping thickness. TP is a promising predictor for appropriate ceramic selection to receive an acceptable CAD/CAM ceramic restoration aesthetic.

Topics & Concepts

Materials scienceCeramicLithium disilicateCubic zirconiaColor differenceDental ceramicsCADComposite materialEngineering drawingComputer scienceFilter (signal processing)EngineeringComputer visionDental materials and restorationsAnatomy and Medical TechnologyAdditive Manufacturing and 3D Printing Technologies
Can we use the translucency parameter to predict the CAD/CAM ceramic restoration aesthetic? | Litcius