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DOI: 10.1055/s-0044-1800839
Accuracy and Reliability of Intraoral Scanners for Tooth Shade Determination in Comparisons with Intraoral Spectrophotometer: In Vitro Study
Authors
Funding This study was supported by the Research Center of Excellence of Oral Health, Faculty of Dentistry, Prince of Songkla University.
Abstract
Objective
This study aimed to compare the accuracy and repeatability of shade determination using an intraoral spectrophotometer (SP) and two intraoral scanners, hypothesizing no significant differences in performance.
Materials and Methods
A computer-aided design/computer-aided manufacturing-designed right upper central incisor was manufactured in multiple shades using feldspathic ceramic. Shade determination was performed using the CEREC Primescan (CP), Trios V scanners, and an intraoral SP, with multiple scans taken for each.
Statistical Analysis
Measurement accuracy was evaluated using the Cochran Q test and pairwise comparisons with Bonferroni's correction. Reliability was assessed through Cronbach's α, with a significance level set at 0.05 for all tests.
Results
The SP achieved 84% accuracy, while the CP and 3Shape Trios V (T5) recorded 66 and 71%, respectively. None of the instruments reached 100% accuracy, with the SP displaying an accuracy range of 80 to 90%, and both scanners achieving between 60 and 80%. Statistically significant differences indicated that the SP outperformed the scanners (p < 0.05). False shade readings showed shades 3M2 and 4M2 as having the highest erroneous results. Reliability scores ranged from 92% for the scanners to 94% for the SP, with a Cronbach's α coefficient of 0.839, indicating high reliability.
Conclusion
Intraoral SP displayed superior accuracy over the intraoral scanners, while their reliability in shade assessment was comparable. Thus, dental SPs are preferred for precise shade matching, suggesting potential reliability issues with intraoral scanners for consistent dental shade assessment.
Publication History
Article published online:
27 January 2025
© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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