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Congruence between Meshes and Library Files of Implant Scanbodies: An In Vitro Study Comparing Five Intraoral
Francesco Mangano1,2, Henriette Lerner3,4, Bidzina Margiani2
1Private Practice, Gravedona, 22015 Como, Italy.
Journal of Clinical Medicine
|July 15, 2020
Summary
Five intraoral scanners (IOSs) were compared for implant scanbody (SB) accuracy. PRIMESCAN® and CS 3700® showed the highest dimensional congruence, with varying deviation patterns across devices.
Area of Science:
- Digital dentistry
- Biomaterials engineering
- Dental prosthetics
Background:
- Intraoral scanners (IOSs) are crucial for digital dental workflows.
- Accurate capture of implant scanbodies (SBs) is essential for prosthetic rehabilitation.
- Evaluating the reliability of different IOSs for SBs is vital for clinical application.
Purpose of the Study:
- To compare the reliability of five intraoral scanners (IOSs) in capturing implant scanbodies (SBs).
- To verify the dimensional congruence between the scanbody meshes (MEs) and their corresponding library files (LF).
Main Methods:
- Five IOSs (PRIMESCAN®, CS 3700®, MEDIT i-500®, ITERO ELEMENTS 5D®, Emerald S®) scanned implant SBs on a gypsum cast.
- Ten scans per IOS were analyzed using 3D reverse engineering software.
- Superimposition of SB library files (LF) onto scanbody meshes (MEs) evaluated deviations quantitatively and qualitatively.
Main Results:
- PRIMESCAN® demonstrated the highest congruence (25.5 ± 5.0 μm), followed closely by CS 3700® (27.0 ± 4.3 μm).
- Significant differences in congruence were found between all other IOSs, with Emerald S® showing the largest deviation (38.3 ± 7.8 μm).
- Deviations varied in direction and pattern among IOSs, with some showing MEs within LF and others showing LF within MEs.
Conclusions:
- Statistically significant differences exist in the congruence of implant scanbody meshes generated by different intraoral scanners.
- The choice of IOS impacts the accuracy of digital impressions for implant restorations.
- Qualitative analysis revealed distinct deviation patterns for each IOS, highlighting the need for careful device selection.

