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Accuracy of dental implant placement using different dynamic navigation and robotic systems: an in vitro study.
- Source :
- NPJ Digital Medicine; 7/6/2024, Vol. 7 Issue 1, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- Computer-aided implant surgery has undergone continuous development in recent years. In this study, active and passive systems of dynamic navigation were divided into active dynamic navigation system group and passive dynamic navigation system group (ADG and PDG), respectively. Active, passive and semi-active implant robots were divided into active robot group, passive robot group and semi-active robot group (ARG, PRG and SRG), respectively. Each group placed two implants (FDI tooth positions 31 and 36) in a model 12 times. The accuracy of 216 implants in 108 models were analysed. The coronal deviations of ADG, PDG, ARG, PRG and SRG were 0.85 ± 0.17 mm, 1.05 ± 0.42 mm, 0.29 ± 0.15 mm, 0.40 ± 0.16 mm and 0.33 ± 0.14 mm, respectively. The apical deviations of the five groups were 1.11 ± 0.23 mm, 1.07 ± 0.38 mm, 0.29 ± 0.15 mm, 0.50 ± 0.19 mm and 0.36 ± 0.16 mm, respectively. The axial deviations of the five groups were 1.78 ± 0.73°, 1.99 ± 1.20°, 0.61 ± 0.25°, 1.04 ± 0.37° and 0.42 ± 0.18°, respectively. The coronal, apical and axial deviations of ADG were higher than those of ARG, PRG and SRG (all P < 0.001). Similarly, the coronal, apical and axial deviations of PDG were higher than those of ARG, PRG, and SRG (all P < 0.001). Dynamic and robotic computer-aided implant surgery may show good implant accuracy in vitro. However, the accuracy and stability of implant robots are higher than those of dynamic navigation systems. [ABSTRACT FROM AUTHOR]
- Subjects :
- DENTAL implants
IN vitro studies
DATA analysis
RESEARCH evaluation
PARAMETERS (Statistics)
KRUSKAL-Wallis Test
DENTURES
DESCRIPTIVE statistics
COMPUTER-assisted surgery
MATHEMATICAL statistics
ROBOTICS
STATISTICS
ONE-way analysis of variance
DATA analysis software
CONFIDENCE intervals
PROSTHESIS design & construction
EVALUATION
Subjects
Details
- Language :
- English
- ISSN :
- 23986352
- Volume :
- 7
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- NPJ Digital Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 178293289
- Full Text :
- https://doi.org/10.1038/s41746-024-01178-6