You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Aug 11, 2025

Dynamic Navigation for Dental Implant Placement
Published on: September 13, 2022
Lin Liu1, Xiaoyu Wang2, Miaosheng Guan3
1Department of Stomatology, The First Medical Center of PLA General Hospital, Beijing, 100853, China.
This study tested a new dental implant surgery guide using mixed reality headsets. By comparing this digital tool against traditional manual methods on resin models, researchers found that the new system significantly improved the accuracy of implant placement. The technology provides surgeons with real-time visual guidance during the procedure.
Area of Science:
Background:
Prior research has shown that precise implant placement remains a challenge in oral surgery. Conventional manual techniques often rely heavily on the surgeon's experience and tactile feedback alone. This gap motivated the exploration of digital assistance tools to enhance surgical outcomes. It was already known that optical tracking systems can improve spatial orientation during complex procedures. However, integrating these systems into a wearable display format presents unique engineering hurdles. That uncertainty drove the need for specialized software capable of real-time holographic rendering. No prior work had resolved the specific integration of optical tracking with head-mounted displays for dental applications. This study addresses these limitations by proposing a novel framework for guided surgery.
Purpose Of The Study:
The aim of this study was to develop and investigate a novel navigation method for dental implant surgery using wearable technology. Researchers sought to address the limitations of traditional manual placement techniques by integrating digital assistance. This project focused on creating a functional workflow that combines optical tracking with holographic displays. The team intended to evaluate whether this digital approach could enhance surgical precision in a controlled environment. By comparing the new system against a standard free-hand approach, the authors aimed to quantify potential improvements. The study specifically targeted the reduction of spatial deviations during the implantation process. Establishing a reliable method for real-time trajectory visualization served as the primary motivation for this work. The researchers also sought to validate the feasibility of using these hardware components for oral surgical applications.
Main Methods:
Review approach involved a controlled laboratory experiment using resin models of dentition defects. Researchers utilized 3D-cone beam computed tomography to generate anatomical data for the virtual environment. A custom software suite was engineered to synchronize the optical tracking hardware with the wearable display. The team established a workflow that enabled real-time registration of surgical instruments. Twenty-five trials were performed using the digital navigation system, while another twenty-five trials utilized a conventional manual approach. An experienced oral surgeon conducted all procedures to ensure consistency across the test groups. Precision was evaluated by calculating spatial deviations at the entry, middle, and apex points of the implants. Angular orientation errors were also recorded to compare the two surgical modalities.
Main Results:
Key findings from the literature demonstrate that the digital system outperformed the manual approach in three out of four accuracy metrics. Entry deviation for the digital group measured 0.6914 ± 0.2507 mm, while the manual group reached 1.571 ± 0.5004 mm. Middle deviation values were 0.7156 ± 0.2127 mm for the digital group and 1.170 ± 0.3448 mm for the control. Apex deviation results showed 0.7869 ± 0.2298 mm for the digital method versus 0.9190 ± 0.3319 mm for the manual technique. Angular deviation was 1.849 ± 0.6120 degrees for the digital system compared to 4.933 ± 1.650 degrees for the manual approach. Statistical analysis confirmed significant differences for entry, middle, and angular deviations with p-values of 0.000. Apex deviation did not reach statistical significance with a p-value of 0.1082. These results suggest that the navigation workflow provides reliable guidance during simulated implant surgery.
Conclusions:
The authors propose that their digital platform offers superior precision compared to manual methods for most measured parameters. Synthesis and implications suggest that real-time holographic feedback enhances the surgeon's ability to follow planned trajectories. The findings indicate that entry and middle point accuracy significantly benefit from this technological integration. Regarding angular orientation, the digital approach demonstrated a substantial reduction in deviation compared to the control group. While apex deviation showed no statistically significant difference, the overall performance remains promising for clinical adoption. The researchers emphasize that their workflow successfully enables intraoperative visualization of surgical tools. This synthesis highlights the potential for wearable displays to transform standard dental operating procedures. Future clinical implementation may rely on the robust performance observed in these controlled laboratory settings.
The researchers propose that the system improves accuracy by providing real-time holographic visual feedback. When compared to the free-hand approach, the digital method achieved significantly lower entry, middle, and angular deviations, whereas the apex deviation showed no statistically significant difference between the two groups.
The setup incorporates a Hololens headset for visualization, an NDI Polaris optical tracking system for spatial monitoring, and custom-developed software. This combination allows for the synchronization of 3D-cone beam computed tomography data with the physical surgical environment.
Optical tracking is necessary to maintain spatial alignment between the physical jaw model and the virtual surgical plan. Without this tracking, the headset cannot accurately project the planned trajectory onto the patient's anatomy in real time during the procedure.
The researchers utilize 3D-cone beam computed tomography data to generate the virtual environment. This data type is essential for creating the 3D reconstruction of the jawbone and dentition, which serves as the foundation for the holographic guidance display.
The team measured entry, middle, apex, and angular deviations to evaluate surgical performance. These metrics quantify the spatial discrepancy between the planned implant position and the actual placement achieved by the surgeon during the procedure.
The authors claim that their workflow successfully enables the visualization of surgical instruments and jaw models. They propose that this capability provides surgeons with improved guidance, potentially reducing errors associated with manual implantation techniques.