2022
DOI: 10.1080/17436753.2022.2069988
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Fitness of self-glazed zirconia onlays using conventional and digital impressions

Abstract: The fitness of self-glazed zirconia (SGZ) onlays fabricated with computer-aided design/ computer-aided manufacturing was analysed, and conventional impressions (CIs) were compared with intraoral digital impressions (DIs). Onlay preparation was applied on a typodont left mandibular first molar to create 22 copy dies, which were divided into DI and CI groups. The marginal gap of DI-fabricated onlays was smaller than that of CI-fabricated onlays (p < 0.05). In both groups, the marginal gap was larger in the dista… Show more

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Cited by 3 publications
(3 citation statements)
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“…Qian et al used Geomagic Qualify 12 to get the best fit alignment of the two data and calculated the root mean square for the whole internal surface by considering two different regions of interest, axial and pulp walls. The marginal fit was evaluated in 8 different regions [52]. Zimmerman et al, using Oracheck software, firstly superimposed the two files through best fit alignment, then selected three different areas of interest and matched about 20.000 points per surface, calculating the distances through software algorithm [64].…”
Section: Discussionmentioning
confidence: 99%
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“…Qian et al used Geomagic Qualify 12 to get the best fit alignment of the two data and calculated the root mean square for the whole internal surface by considering two different regions of interest, axial and pulp walls. The marginal fit was evaluated in 8 different regions [52]. Zimmerman et al, using Oracheck software, firstly superimposed the two files through best fit alignment, then selected three different areas of interest and matched about 20.000 points per surface, calculating the distances through software algorithm [64].…”
Section: Discussionmentioning
confidence: 99%
“…A 2D analysis was carried out, but an inconsistent number of points was assessed by both the authors. 3D analysis by using digital scanning devices and software is the only method that made it possible to measure easily more than 50 points, by selecting a more consistent number of points for linear measurements, or by using the best fit alignment of the scan data and considering different regions of interest for fit assessment, as shown by Yang et al [63], Qian et al [52], and Zimmerman et al [64].…”
Section: Discussionmentioning
confidence: 99%
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