ArticleThe journal of advanced prosthodontics2020
The effect of the improperly scanned scan body images on the accuracy of virtual implant positioning in computer-aided design software.
Article in The journal of advanced prosthodontics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Impact of scanning errors on the trueness of digital implant impressions.International journal of implant dentistry · 2026Article
- A comparative in vitro study of the accuracy and precision of different intraoral scanners for implant-supported hybrid prostheses impressions.BMC oral health · 2026Article
- Alignment optimization in digital implantology: evaluating the role of scan body modifications and different software.BMC oral health · 2025Article
- Effects of scan body material, length and top design on digital implant impression accuracy and usability: anThe journal of advanced prosthodontics · 2025Article
- A Retrospective Cohort Study on Scan Quality of Implant Scanbodies Matched With CAD Libraries.Clinical implant dentistry and related research · 2025Article
- Article
- The Effect of Perioral Scan and Artificial Skin Markers on the Accuracy of Virtual Dentofacial Integration: Stereophotogrammetry Versus Smartphone Three-Dimensional Face-Scanning.International journal of environmental research and public health · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to examine the importance of the defect-free scanning of a scan body by assessing the accuracy of virtual implant positioning in computer-aided design (CAD) software when the scan body image is improperly scanned. MATERIALS AND
methodsA scan body was digitized in a dentiform model using an intraoral scanner, and scanned images with differing levels of image deficiency were generated: 5%, 10%, and 15% deficiency in the flat or rounded area. Using a best-fit image matching algorithm on each of the deficient scan body images, corresponding virtual implants were created. The accuracy of the implant position was evaluated by comparing the linear and angular discrepancies between the actual and virtual positions of the implant. Kruskal-Wallis tests and Mann-Whitney U tests with Bonferroni correction were used to determine the statistical differences among the seven scanned image deficiency groups (α=.05).
resultsIn general, the linear and angular discrepancies of the implant position in the software increased as the deficiency of the scan body images increased. A 15% scan body image deficiency generated larger discrepancies than deficiency of 5% and 10%. The difference of scan defect position, flat or rounded area, did not affect the accuracy of virtual implant orientation at 5% and 10% deficiency level, but did affect the accuracy at 15% deficiency level.
conclusionDeficiencies in the scanned images of a scan body can decrease the accuracy of the implant positioning in CAD software when the defect is large, thus leading to the incorrect fabrication of implant prostheses.
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