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A novel reference model for dental scanning system evaluation: analysis of five intraoral scanners.
Karakas-Stupar, Irina; Zitzmann, Nicola Ursula; Joda, Tim.
Afiliação
  • Karakas-Stupar I; Department of Reconstructive Dentistry, University Center for Dental Medicine Basel, University of Basel, Switzerland.
  • Zitzmann NU; Department of Reconstructive Dentistry, University Center for Dental Medicine Basel, University of Basel, Switzerland.
  • Joda T; Department of Reconstructive Dentistry, University Center for Dental Medicine Basel, University of Basel, Switzerland.
J Adv Prosthodont ; 14(2): 63-69, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35601353
PURPOSE: The aim of this in vitro study was to investigate the accuracy (trueness and precision) of five intraoral scanners (IOS) using a novel reference model for standardized performance evaluation. MATERIALS AND METHODS: Five IOSs (Medit i500, Omnicam, Primescan, Trios 3, Trios 4) were used to digitize the reference model, which represented a simplified full-arch situation with four abutment teeth. Each IOS was used five times by an experienced operator, resulting in 25 STL (Standard Tessellation Language) files. STL data were imported into 3D software (Final Surface®) and examined for inter- and intra-group analyses. Deviations in the parameter matching error were calculated. ANOVA F-test and Kruskal-Wallis test were applied for inter-group comparisons (α = .05); and the coefficient of variation (CV) was calculated for intra-group comparisons (in % ± SD). RESULTS: Primescan (matching error value: 0.015), Trios 3 (0.016), and Trios 4 (0.018) revealed comparable results with significantly higher accuracy compared to Medit i500 (0.035) and Omnicam (0.028) (P < .001). For intra-group comparison, Trios 4 demonstrated the most homogenous results (CV 15.8%). CONCLUSION: The novel reference model investigated in this study can be used to assess the performance of dental scanning technologies in the daily routine setting and in research settings.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article