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Abstract
Purpose
This study aimed to investigate the performance of novice versus experienced practitioners for placing dental implant using freehand, static guided and dynamic navigation approaches.
Methods
A total of 72 implants were placed in 36 simulation models. Three experienced and three novice practitioners were recruited for performing the osteotomy and implant insertion with freehand, surgical guide (pilot-drill guidance) and navigation (X-Guide, X-Nav technologies) approaches. Each practitioner inserted 4 implants per approach randomly with a 1-week gap to avoid memory bias (4 insertion sites × 3 approaches × 6 practitioners = 72 implants). The performance of practitioners was assessed by comparing actual implant deviation to the planned position, time required for implant placement and questionnaire-based self-confidence evaluation of practitioners on a scale of 1–30.
Results
The navigation approach significantly improved angular deviation compared with freehand (P < 0.001) and surgical guide (P < 0.001) irrespective of the experience. Surgical time with navigation was significantly longer compared to the freehand approach (P < 0.001), where experienced practitioners performed significantly faster compared to novice practitioners (P < 0.001). Overall, self-confidence was higher in favor of novice practitioners with both guided approaches. In addition, the confidence of novice practitioners (median score = 26) was comparable to that of experienced practitioners (median score = 27) for placing implants with the navigation approach.
Conclusions
Dynamic navigation system could act as a viable tool for dental implant placement. Unlike freehand and static-guided approaches, novice practitioners showed comparable accuracy and self-confidence to that of experienced practitioners with the navigation approach.
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1 KU Leuven, OMFS IMPATH Research Group, Department of Imaging and Pathology, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884); The First Affiliated Hospital of Harbin Medical University, Department of Oral and Maxillofacial Surgery, NangangHarbin, China (GRID:grid.412596.d) (ISNI:0000 0004 1797 9737)
2 KU Leuven, OMFS IMPATH Research Group, Department of Imaging and Pathology, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884); University Hospitals Leuven, Department of Oral and Maxillofacial Surgery, Leuven, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338)
3 KU Leuven, OMFS IMPATH Research Group, Department of Imaging and Pathology, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884); College of Dentistry, King Saud Bin Abdulaziz University for Health Sciences, Department of Maxillofacial Surgery and Diagnostic Sciences, Riyadh, Saudi Arabia (GRID:grid.412149.b) (ISNI:0000 0004 0608 0662)
4 University Hospitals Leuven, Department of Oral and Maxillofacial Surgery, Leuven, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338)
5 KU Leuven, OMFS IMPATH Research Group, Department of Imaging and Pathology, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884)
6 KU Leuven, OMFS IMPATH Research Group, Department of Imaging and Pathology, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884); Pontifical Catholic University of Rio Grande Do Sul, School of Health Sciences, Faculty of Dentistry, Porto Alegre, Brazil (GRID:grid.412519.a) (ISNI:0000 0001 2166 9094)
7 KU Leuven, OMFS IMPATH Research Group, Department of Imaging and Pathology, Leuven, Belgium (GRID:grid.5596.f) (ISNI:0000 0001 0668 7884); University Hospitals Leuven, Department of Oral and Maxillofacial Surgery, Leuven, Belgium (GRID:grid.410569.f) (ISNI:0000 0004 0626 3338); Karolinska Institutet, Department of Dental Medicine, Huddinge, Sweden (GRID:grid.4714.6) (ISNI:0000 0004 1937 0626)