Abstract

Statement of the Problem: Accuracy of shade matching using conventional shade guides is a concern because color perception is highly subjective. Also, entirely relying on the digital method for shade selection can result in a deviation of color interpretation which may have an impact on the device's repeatability and accuracy.

Aim: To evaluate digital photography's accuracy in improving shade matching compared to conventional methods (visual shade guide and spectrophotometer).

Methods: 27 e. max CAD restorations were fabricated for 9 patients. Each received 3 restorations representing three groups for shade selection methods (visual, spectrophotometer and digital photography), to match with the shade of the contra-lateral/adjacent tooth. The patient satisfaction and shade matching were assessed by VAS and modified USPHS criteria respectively. The data obtained was statistically analyzed by Friedman's test performed in categorical data.

Results: In shade matching, there was a statistically significant difference between the three restorations. Restorations in digital photography group showed the highest prevalence of Alpha score followed by Visual 3D Master group then Vita Easyshade group. Group Vita Easyshade was the only restorations with Charlie score. No Delta scores were found. Regarding patient's satisfaction, there was a statistically significant difference between the groups with least satisfaction in the Vita Easyshade group.

Conclusion: Digital photography’s impact in shade matching showed validity and reliability over the conventional methods and proved accuracy in terms of shade selection and surface characterization over the visual method. The spectrophotometer showed inconsistency in shade matching.

Keywords: Shade Selection; Shade Matching, Digital Photography, Spectrophotometer, Shade Guide

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Citation

Citation: Rawan Ferroukhi., et al. “Impact of Digital Photography and Conventional Method on the Accuracy of Shade Matching in the Esthetic Zone (In Vivo Study)". Acta Scientific Dental Sciences 4.10 (2020): 82-94.

Copyright

Copyright: © 2020 Rawan Ferroukhi., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.