- AutorIn
- Marcel Ebeling
- Andreas Sakkas
- Alexander Schramm
- Frank Wilde
- Mario Scheurer
- Karsten Winter
- Sebastian Pietzka
- Titel
- Accuracy Analysis of Computer-Assisted and Guided Dental Implantology by Comparing 3D Planning Data and Actual Implant Placement in a Mandibular Training Model
- Untertitel
- Accuracy Analysis of Computer-Assisted and Guided Dental Implantology by Comparing 3D Planning Data and Actual Implant Placement in a Mandibular Training Model
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-996042
- Quellenangabe
- Journal of Personalized Medicine
Erscheinungsjahr: 2023
Jahrgang: 13
Heft: 7
E-ISSN: 2075-4426
Artikelnummer: 1037 - Erstveröffentlichung
- 2023
- Abstract (EN)
- The aim of this study was to investigate how precisely implantation can be realized by participants on a phantom head according to preliminary planning. Of particular interest here was the influence of participants’ previous knowledge and surgical experience on the precision of the implant placement. The placed implants were scanned using an intraoral scanner, saved as STL files, and superimposed with the 3D-planned implant placement. Deviations from the planning were indicated in millimeters and degrees. We were able to show that on average, the deviations from computer-assisted 3D planning were less than 1 mm for implantologists, and the students also did not deviate more than 1.78 mm on average from 3D planning. This study shows that guided implantology provides predictable and reproducible results in dental implantology. Incorrect positioning, injuries to anatomical structures, and implant positions that cannot be prosthetically restored can thus be avoided.
- Andere Ausgabe
- Erstveröffentlichung
DOI: 10.3390/jpm13071037 - Freie Schlagwörter (EN)
- dental implant planning, surgical guides, surgical templates, computer-assisted surgery, computer-aided surgery, guided implant surgery
- Klassifikation (DDC)
- 610
- Verlag
- MDPI, Basel
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-996042
- Veröffentlichungsdatum Qucosa
- 10.10.2025
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0