FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311377407> ?p ?o ?g. }

• W4311377407 endingPage "5465" @default.
• W4311377407 startingPage "5465" @default.
• W4311377407 abstract "The objective of this study was to assess the effect of stacking on the dimensional and full-arch accuracy of 3D-printed models, utilising a standardised assessment methodology. A previously validated methodology involving a standard tessellation language image (STL) reference model, comprising seven spheres on a horseshoe base resembling a dental arch, was used. Six 3D-designed STL models were prepared, optimised, and stacked horizontally using 3D Sprint software. The stacking file was transferred to the NextDent 5100 printer to build the physical models. To assess accuracy, a coordinate measuring machine (CMM) measured the diameter of the spheres n=210, and twenty-one vectors extended between the centres of each of the seven spheres (n = 630). When compared to the reference model, significant differences were observed for dimensional (p = 0.006) and full-arch accuracy (p = 0.006) for all stacked models. Additionally, significant differences were observed between the stacked models for the dimensional accuracy between the posterior (p = 0.015), left posterior (p = 0.005) and anteroposterior (p = 0.002). The maximum contraction was observed in the fourth stacked model, which demonstrated the highest median deviation and least precision within the full-arch (MD = 666 μm, IQR = 55 μm), left posterior (MD = 136 μm, IQR = 12 μm), posterior (MD = 177 μm, IQR = 14 μm) and anteroposterior (MD = 179 μm, IQR = 16 μm) arch segments. In general, the anterior and left posterior arch segments recorded the highest contractions with a median deviation of 34 μm and 29 μm, and precision of 32 μm and 22 μm, respectively. Statistically significant differences were observed between the stacked models in terms of dimensional accuracy that were within clinically acceptable thresholds. The greatest contraction was noted in the fourth model, displaying the least full-arch accuracy compared to the other models. Stacked, additively manufactured, full arch models are a viable alternative for diagnostic, orthodontic, and single-unit prosthodontic applications. In contrast, caution should be exercised when utilising stacked models for full arch high accuracy prosthodontic applications. Further research is needed to assess the impact of additional variables including different printers and resins." @default.
• W4311377407 created "2022-12-25" @default.
• W4311377407 creator A5007631829 @default.
• W4311377407 creator A5017294500 @default.
• W4311377407 creator A5048552418 @default.
• W4311377407 creator A5053630070 @default.
• W4311377407 creator A5065723396 @default.
• W4311377407 creator A5067214481 @default.
• W4311377407 creator A5072830212 @default.
• W4311377407 creator A5079520782 @default.
• W4311377407 date "2022-12-13" @default.
• W4311377407 modified "2023-09-25" @default.
• W4311377407 title "The Effect of Stacking on the Accuracy of 3D-Printed Full-Arch Dental Models" @default.
• W4311377407 cites W2018137465 @default.
• W4311377407 cites W2026210287 @default.
• W4311377407 cites W2040663992 @default.
• W4311377407 cites W2053906957 @default.
• W4311377407 cites W2145185417 @default.
• W4311377407 cites W2156756730 @default.
• W4311377407 cites W2199963329 @default.
• W4311377407 cites W2303635858 @default.
• W4311377407 cites W2559771726 @default.
• W4311377407 cites W2619327850 @default.
• W4311377407 cites W2752564265 @default.
• W4311377407 cites W2794504581 @default.
• W4311377407 cites W2811194182 @default.
• W4311377407 cites W2897022983 @default.
• W4311377407 cites W2920801269 @default.
• W4311377407 cites W2941896838 @default.
• W4311377407 cites W2950599916 @default.
• W4311377407 cites W2956141407 @default.
• W4311377407 cites W3024953297 @default.
• W4311377407 cites W3085992484 @default.
• W4311377407 cites W3094230861 @default.
• W4311377407 cites W3098911925 @default.
• W4311377407 cites W3103818135 @default.
• W4311377407 cites W3110976672 @default.
• W4311377407 cites W3114983254 @default.
• W4311377407 cites W3119796950 @default.
• W4311377407 cites W3126840805 @default.
• W4311377407 cites W3128802509 @default.
• W4311377407 cites W3134301900 @default.
• W4311377407 cites W3134831208 @default.
• W4311377407 cites W3150554484 @default.
• W4311377407 cites W3158434219 @default.
• W4311377407 cites W3176991751 @default.
• W4311377407 cites W3186500432 @default.
• W4311377407 cites W3201268378 @default.
• W4311377407 cites W4287010061 @default.
• W4311377407 cites W2984944619 @default.
• W4311377407 doi "https://doi.org/10.3390/polym14245465" @default.
• W4311377407 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36559832" @default.
• W4311377407 hasPublicationYear "2022" @default.
• W4311377407 type Work @default.
• W4311377407 citedByCount "0" @default.
• W4311377407 crossrefType "journal-article" @default.
• W4311377407 hasAuthorship W4311377407A5007631829 @default.
• W4311377407 hasAuthorship W4311377407A5017294500 @default.
• W4311377407 hasAuthorship W4311377407A5048552418 @default.
• W4311377407 hasAuthorship W4311377407A5053630070 @default.
• W4311377407 hasAuthorship W4311377407A5065723396 @default.
• W4311377407 hasAuthorship W4311377407A5067214481 @default.
• W4311377407 hasAuthorship W4311377407A5072830212 @default.
• W4311377407 hasAuthorship W4311377407A5079520782 @default.
• W4311377407 hasBestOaLocation W43113774071 @default.
• W4311377407 hasConcept C105795698 @default.
• W4311377407 hasConcept C11312509 @default.
• W4311377407 hasConcept C127413603 @default.
• W4311377407 hasConcept C136229726 @default.
• W4311377407 hasConcept C154945302 @default.
• W4311377407 hasConcept C192562407 @default.
• W4311377407 hasConcept C22679943 @default.
• W4311377407 hasConcept C2984377249 @default.
• W4311377407 hasConcept C3019007443 @default.
• W4311377407 hasConcept C33923547 @default.
• W4311377407 hasConcept C41008148 @default.
• W4311377407 hasConcept C66938386 @default.
• W4311377407 hasConcept C71924100 @default.
• W4311377407 hasConcept C78519656 @default.
• W4311377407 hasConceptScore W4311377407C105795698 @default.
• W4311377407 hasConceptScore W4311377407C11312509 @default.
• W4311377407 hasConceptScore W4311377407C127413603 @default.
• W4311377407 hasConceptScore W4311377407C136229726 @default.
• W4311377407 hasConceptScore W4311377407C154945302 @default.
• W4311377407 hasConceptScore W4311377407C192562407 @default.
• W4311377407 hasConceptScore W4311377407C22679943 @default.
• W4311377407 hasConceptScore W4311377407C2984377249 @default.
• W4311377407 hasConceptScore W4311377407C3019007443 @default.
• W4311377407 hasConceptScore W4311377407C33923547 @default.
• W4311377407 hasConceptScore W4311377407C41008148 @default.
• W4311377407 hasConceptScore W4311377407C66938386 @default.
• W4311377407 hasConceptScore W4311377407C71924100 @default.
• W4311377407 hasConceptScore W4311377407C78519656 @default.
• W4311377407 hasIssue "24" @default.
• W4311377407 hasLocation W43113774071 @default.
• W4311377407 hasLocation W43113774072 @default.
• W4311377407 hasLocation W43113774073 @default.
• W4311377407 hasLocation W43113774074 @default.

• next