The accuracy of a novel image-guided hybrid robotic system for dental implant placement: An in vitro study

Clinical and in vitro application of robotic computer-assisted implant surgery: a scoping review

In recent years, the emergence and application of robotic computer-assisted implant surgery (r-CAIS) has resulted in a revolutionary shift in conventional implant diagnosis and treatment. This scoping review was performed to verify the null hypothesis that r-CAIS has a relatively high accuracy of within 1 mm, with relatively few complications and a short operative time. This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR). From the 3355 publications identified in the PubMed, Scopus, Web of Science, and Google Scholar databases, 28 were finally included after a comprehensive review and analysis. The null hypothesis is partly accepted, as r-CAIS has a relatively high accuracy (coronal and apical deviation within 1 mm), and no significant adverse events or complications have been reported to date, although additional confirmatory studies are needed. However, there is insufficient evidence for a shorter surgical time, and further clinical research on this topic is required.

Comparison of the positional accuracy of robotic guided dental implant placement with static guided and dynamic navigation systems: A systematic review and meta-analysis

STATEMENT OF PROBLEM

The development of robotic computer assisted implant surgery (r-CAIS) offers advantages, but how the positional accuracy of r-CAIS compares with other forms of guided implant surgery remains unclear.

PURPOSE

The purpose of this systematic review and meta-analysis was to evaluate the positional accuracy of r-CAIS and to compare the positional accuracy of r-CAIS with s-CAIS and d-CAIS.

MATERIAL AND METHODS

Five databases were systematically searched by 2 independent reviewers for articles published before May 2023. A manual search was also performed. Articles evaluating the positional accuracy of r-CAIS were included. The Cochrane risk of bias tool was used for the clinical studies, whereas the QUIN tool was used for the in vitro studies. A meta-analysis was performed to compare the positional accuracy of r-CAIS with d-CAIS.

RESULTS

Thirteen studies were included, with 9 in vitro studies, 4 clinical studies, and a total of 920 dental implants. A high risk of bias was noted in 6 studies and low to moderate in 7 studies. R-CAIS showed greater accuracy for the coronal, apical, and angular deviations compared with d-CAIS. (-0.17 [-0.24, 0.09], (P<.001); -0.21 [-0.36, -0.06] (P=.006), and -1.41 [-1.56, -1.26] (P<.001)) CONCLUSIONS: R-CAIS can provide improved positional accuracy compared with d-CAIS when considering coronal, apical, and angular deviations. However, evidence to compare the positional accuracy of r-CAIS with s-CAIS was insufficient. These results should be interpreted with caution because of the limited data and the bias noted in several studies.

Accuracy assessment of robot-assisted implant surgery in dentistry: A systematic review and meta-analysis

STATEMENT OF PROBLEM

The systematic assessment of accuracy of robot-assisted implant surgery is lacking.

PURPOSE

The purpose of this systematic review and meta-analysis was to evaluate the accuracy of robot-assisted implant surgery and compare it with computer-aided implant surgery in partially and completely edentulous patients and human phantoms.

MATERIAL AND METHODS

The studies were selected from ScienceDirect, Web of science, Cochrane Library, PubMed, and CNKI databases. The risk of bias of the included studies was evaluated with the risk of bias in nonrandomized studies of interventions tool. The mean and standard deviation of global coronal, apical, and angular deviations of implants were the primary outcome. Meta-analysis was conducted to evaluate the accuracy of the robot-assisted implant surgery and compare it with computer-aided implant surgery in dental implantation (α=.05).

RESULTS

Eleven in vitro studies with 809 implants and 10 clinical studies with 257 implants were included. For the in vitro studies, the mean global coronal, apical, and angular deviations of robot-assisted implant surgery were 0.7 mm (95% CI: 0.6 to 0.8), 0.8 mm (95% CI: 0.6 to 1.0), and 1.8 degrees (95%CI: 1.2 to 2.5), respectively. For the clinical studies, the average global coronal, apical, and angular deviations of robot-assisted implant surgery were 0.6 mm (95% CI: 0.5 to 0.8), 0.7 mm (95% CI: 0.6 to 0.8), and 1.6 degrees (95%CI: 1.1 to 2.0), respectively. For the in vitro studies, the robot-assisted implant surgery group showed significantly more decrease in global coronal deviation than the computer-assisted implant surgery group (P=.012). The robot-assisted implant surgery group offered smaller global apical deviation (P=.001) and angular deviation (P<.001) than the computer-assisted implant surgery group.

CONCLUSIONS

Robot navigation is a clinically reliable method of implant placement. Significantly lower global coronal, apical, and angular deviations were observed for robot-assisted implant surgery compared with computer-assisted implant surgery in human phantoms.

Accuracy of an autonomous dental implant robotic system in placing tilted implants for edentulous arches

STATEMENT OF PROBLEM

Accurate placement of tilted implants is essential as they are typically close to important anatomic structures. Inaccurate implant position may damage those structures and affect outcomes.

PURPOSE

The purpose of this in vitro study was to compare the accuracy and efficiency of an autonomous dental implant robotic (ADIR) system and a static computer-assisted implant surgery (sCAIS) system in placing tilted implants in edentulous patients.

MATERIAL AND METHODS

Ten 3-dimensionally (3D) printed edentulous mandibular casts were assigned to 1 of 2 groups (ADIR and sCAIS). The coronal, apical, and angular deviations of the placement of tilted implants, preoperative preparation time, and surgical time were compared between the 2 groups. The paired samples t test and the independent samples t test were used to compare the groups (α=.05).

RESULTS

The mean ±standard deviation of coronal, apical, and angular deviation in the ADIR group and sCAIS group were 0.47 ±0.06 mm versus 1.09 ±0.11 mm, 0.47 ±0.05 mm versus 1.53 ±0.14 mm, and 0.91 ±0.82 degrees versus 2.83 ±0.55 degrees, respectively. The deviations of the tilted implant positions in the ADIR were relatively small and significantly different from those of sCAIS (P<.05). The preoperative preparation time of the ADIR group was significantly longer than that of the sCAIS group (P<.001), and the surgical time for the 2 groups was statistically similar (P=.259).

CONCLUSIONS

Compared with the sCAIS system, the deviation of tilted implants in the ADIR group was smaller, but the preoperative preparation time was longer. The results indicated that using the ADIR for tilted implantation can lead to more accurate implantation positions and reduce the occurrence of complications. However, it is time consuming, and the workflow should be simplified to improve efficiency.

A transcrestal sinus floor elevation strategy based on a haptic robot system: An in vitro study

OBJECTIVES

To reveal the force profiles recorded by haptic autonomous robotic force feedback during the transcrestal sinus floor elevation (TSFE) process, providing a reference for the surgery strategy during TSFE.

MATERIALS AND METHODS

A total of 42 maxillary sinus models with different angles of the sinus floor (30°, 40°, 50°, 60°, 70°, 80°, and 90°, compared to vertical plane) were 3D printed. Implant site preparation was performed using a robotic system, and the total force (Ft) and axial force along the drill (Fz) during the surgery were recorded by the haptic robotic arm. The actual initial breakthrough point (drill contacting sinus floor) and complete breakthrough point (drill penetrating the sinus floor) were defined visually (the actual IBP and the actual CBP). The theoretical initial breakthrough point (the theoretical IBP) and the theoretical complete breakthrough point (the theoretical CBP) defined by the robot-guided system and the CBCT were determined by real-time force feedback and imaging distance measurement, respectively. The distance from the bottom of the resin model to the actual IBP and the actual CBP was defined as Di and Dt, respectively.

RESULTS

The difference in Fz began to increase significantly at 70°, while the difference in Ft became significant at 60°. When the angle was greater than 70°, there was no significant difference in the discrepancy between the actual and theoretical perforation points. Compared to judging the breakthrough point by CBCT, real-time force feedback TSFE under robotic surgery achieved more accurate initial breakthrough point detection.

CONCLUSIONS

The smaller the angle, the larger the breakthrough force for the drill. The real-time force feedback of haptic robotic system during TSFE could provide reliable reference for dentists. More clinical studies are needed to further validate the application of robotic surgery assisted TSFE.

Influence of Framework Material and Abutment Configuration on Fatigue Performance in Dental Implant Systems: A Finite Element Analysis

Background and Objectives: This study uses finite element analysis to evaluate the impact of abutment angulation, types, and framework materials on the stress distribution and fatigue performance of dental implant systems. Materials and Methods: Three-dimensional models of maxillary three-unit fixed implant-supported prostheses were analyzed. Abutments with different angles and types were used. Two different framework materials were used. Conducted on implants, a force of 150 N was applied obliquely, directed from the palatal to the buccal aspect, at a specific angle of 30 degrees. The distribution of stress and fatigue performance were then assessed, considering the types of restoration frameworks used and the angles of the abutments in three distinct locations. The simulation aspect of the research was carried out utilizing Abaqus Software (ABAQUS 2020, Dassault Systems Simulation Corp., Johnston, RT, USA). Results: In all models, fatigue strengths in the premolar region were higher than in the molar region. Maximum stress levels were seen in models with angled implants. In almost all models with the zirconia framework, fatigue performance was slightly lower. Conclusions: According to the findings of this study, it was concluded that the use of metal-framework multi-unit restorations with minimum angulation has significant positive effects on the biomechanics and long-term success of implant treatments.

Digital workflow for complete arch immediate loading with a prefabricated interim prosthesis using autonomous robotic surgery: A dental technique

A fully digital workflow incorporating autonomous robotic surgery is described. A prefabricated interim prosthesis offers the potential to streamline the process and reduce chairside time. Adopting this digital workflow can simplify the treatment procedure and help minimize the overall time required for the provision of implant-supported prostheses.

Robot-assisted surgery for dental implant placement: A narrative review

OBJECTIVE

To determine the current status and accuracy of robotic computer-assisted implant surgery (CAIS) applications by examining the associated clinical and experimental outcomes.

DATA AND SOURCES

PubMed, Medline, and Cochrane Library databases were searched for relevant studies published between January 2000 and November 2023, and focusing on robotic CAIS in dental implant surgery. All search results were then manually reviewed to identify only the pertinent articles. Only in vitro and clinical studies were included in this narrative review, with implant placement accuracy considered the main outcome.

RESULT

Based on our inclusion and exclusion criteria, we included 21 studies (with 1085 implant sites); of them, 8 were clinical studies, 12 were in vitro studies, and 1 included both an in vitro study and a case series. The ranges of the mean implant shoulder, apical, and angular deviations were respectively 0.43-1.04 mm, 0.53-1.06 mm, and 0.77°-3.77° in the clinical studies and 0.23-1.04 mm, 0.24-2.13 mm, and 0.43°-3.78° in the in vitro studies, respectively.

CONCLUSION

The accuracy of robotic CAIS in dental implant procedures appears to be within the clinically acceptable ranges. However, further relevant clinical trials validating the existing evidence are needed.

CLINICAL SIGNIFICANCE

Robotic CAIS can achieve clinically acceptable implant placement accuracy. This innovative technology may improve the precision and success rates of dental implant procedures, with benefit for surgeons and patients.

Accuracy analysis of robotic-assisted immediate implant placement: A retrospective case series

OBJECTIVES

This study aimed to investigate the accuracy of a robotic computer-assisted implant surgery (r-CAIS) for immediate implant placement.

METHODS

Patients requiring immediate implant placement in the maxillary anterior region were enrolled for r-CAIS. Before surgery, the patients underwent a cone beam computed tomography (CBCT) scan with a positioning marker. Virtual implant placement position and drilling sequences were planned. Following spatial registration and calibration, the implants were placed with the robotic system under supervision. A postoperative CBCT was taken to control the actual implant positions. The DICOM data of the virtually planned and the actually placed implant were superimposed and registered through the accuracy verification software of the robotic system. The accuracy was calculated automatically. The deviation at the mesial-distal, labial-palatal, and apico-coronal directions were recorded.

RESULTS

Fifteen patients with 20 implants were included. No adverse surgical events or postoperative complications were reported. The global platform, apex, and angular deviation were 0.75 ± 0.20 mm (95 % CI: 0.65 to 0.84 mm), 0.70 ± 0.27 mm (95 % CI: 0.57 to 0.82 mm), and 1.17 ± 0.73° (95 % CI: 0.83 to 1.51°), respectively. Moreover, the vertical platform and apex deviation were 0.50 ± 0.31 mm, (95 % CI: 0.35 to 0.64 mm) and 0.48 ± 0.32 mm, (95 % CI: 0.33 to 0.63 mm), respectively. All the placed implant positions were further labial and apical than the planned ones, respectively.

CONCLUSIONS

High accuracy of immediate implant placement was achieved with the robotic system.

CLINICAL SIGNIFICANCE

Our study provided evidence to support the potential of the robotic system in implant placement, even in challenging scenarios.

Accuracy of an autonomous dental implant robotic system in partial edentulism: A pilot clinical study

OBJECTIVES

Robots are increasingly being used for surgical procedures in various specialties. However, information about the accuracy of robot-assisted dental implant surgery is lacking. This pilot clinical study aimed to investigate the accuracy of an autonomous dental implant robotic (ADIR) system in partially edentulous cases.

MATERIAL AND METHODS

The ADIR system was used to place a total of 20 implants in 13 participants. Implant deviation from the planned positions was assessed to determine accuracy. The entry, apex, and angular deviations were described as means ± standard deviation. A two-sample t test was used to compare implant deviation between the flap and flapless groups and between maxillary and mandibular implants (α = .05).

RESULTS

The entry, apex, and angular deviations were 0.65 ± 0.32 mm, 0.66 ± 0.34 mm, and 1.52 ± 1.01°, respectively, with no statistically significant difference between the flap and flapless approaches (P > .05). No adverse events were encountered in any of the participants.

CONCLUSIONS

DIR accuracy in this clinical series was comparable to that reported for static and dynamic computer-assisted implant surgery. Robotic computer-assisted implant surgery may be useful for dental implant placement, potentially improving the quality and safety of the procedure.

CLINICAL RELEVANCE

The findings of this study showed that the ADIR system could be useful for dental implant surgery.

Accuracy of flapless surgery using an autonomous robotic system in full-arch immediate implant restoration: A case series

OBJECTIVES

This observational study aimed to evaluate the accuracy of robotic computer-assisted implant surgery (r-CAIS) for full-arch immediate restoration and to analyse possible factors contributing to deviations.

METHODS

Three edentulous patients (five arches) underwent r-CAIS. Osteotomies were performed using an autonomous robot under the surgeon's supervision, and implant placement was performed in a freehand or robotic manner. Prefabricated provisional prostheses were delivered immediately after surgery. Postoperative cone beam computed tomography scans were performed to assess the deviations between the planned and placed implants. Statistics were compared with deviations of s-CAIS outlined in a meta-analysis.

RESULTS

A sum of 28 implants were used. The mean global coronal and apical deviations measured 0.91 ± 0.43 mm and 1.01 ± 0.45 mm, respectively, and the mean angular deviation measured 1.21 ± 1.24 º. The r-CAIS showed significantly better precision than the s-CAIS in full-arch cases (P < 0.001). The implants inserted using the robotic arm exhibited fewer deviations than those placed in the freehand manner. Eighty percent of prefabricated provisional prostheses were successfully delivered.

CONCLUSIONS

Within the limitations of the present study, our data suggest that autonomous r-CAIS is a feasible approach for simultaneous immediate restoration in edentulous patients, showing better accuracy than s-CAIS. Further large-scale studies are necessary to verify the advantages and disadvantages of this novel technique and to explore possible factors that influence its accuracy.

CLINICAL SIGNIFICANCE

Autonomous r-CAIS can provide clinically acceptable implant placement accuracy in edentulous patients, significantly surpassing s-CAIS. This level of accuracy may represent a viable therapeutic approach for simultaneous immediate full-arch restoration.

A hybrid robotic system for zygomatic implant placement based on mixed reality navigation

BACKGROUNDS

Zygomatic implant (ZI) placement surgery is a viable surgical option for patients with severe maxillary atrophy and insufficient residual maxillary bone. Still, it is difficult and risky due to the long path of ZI placement and the narrow field of vision. Dynamic navigation is a superior solution, but it presents challenges such as requiring operators to have advanced skills and experience. Moreover, the precision and stability of manual implantation remain inadequate. These issues are anticipated to be addressed by implementing robot-assisted surgery and achieved by introducing a mixed reality (MR) navigation-guided hybrid robotic system for ZI placement surgery.

METHODS

This study utilized a hybrid robotic system to perform the ZI placement surgery. Our first step was to reconstruct a virtual 3D model from preoperative cone-beam CT (CBCT) images. We proposed a series of algorithms based on coordinate transformation, which includes image-phantom registration, HoloLens-tracker registration, drill-phantom calibration, and robot-implant calibration, to unify all objects within the same coordinate system. These algorithms enable real-time tracking of the surgical drill's position and orientation relative to the patient phantom. Subsequently, the surgical drill is directed to the entry position, and the planned implantation paths are superimposed on the patient phantom using HoloLens 2 for visualization. Finally, the hybrid robot system performs the processed of drilling, expansion, and placement of ZIs under the guidance of the MR navigation system.

RESULTS

Phantom experiments of ZI placement were conducted using 10 patient phantoms, with a total of 40 ZIs inserted. Out of these, 20 were manually implanted, and the remaining 20 were robotically implanted. Comparisons between the actual implanted ZI paths and the preoperatively planned ZI paths showed that our MR navigation-guided hybrid robotic system achieved a coronal deviation of 0.887 ± 0.213 mm, an apical deviation of 1.201 ± 0.318 mm, and an angular deviation of 3.468 ± 0.339° This demonstrates significantly better accuracy and stability than manual implantation.

CONCLUSION

Our proposed hybrid robotic system enables automated ZI placement surgery guided by MR navigation, achieving greater accuracy and stability compared to manual operations in phantom experiments. Furthermore, this system is expected to apply to animal and cadaveric experiments, to get a good ready for clinical studies.

Accuracy of robotic surgery for dental implant placement: A systematic review and meta-analysis

OBJECTIVES

To systematically analyze the accuracy of robotic surgery for dental implant placement.

MATERIALS AND METHODS

PubMed, Embase, and Cochrane CENTRAL were searched on October 25, 2023. Model studies or clinical studies reporting the accuracy of robotic surgery for dental implant placement among patients with missing or hopeless teeth were included. Risks of bias in clinical studies were assessed. Meta-analyses were undertaken.

RESULTS

Data from 8 clinical studies reporting on 109 patients and 242 implants and 13 preclinical studies were included. Positional accuracy was measured by comparing the implant plan in presurgery CBCT and the actual implant position in postsurgery CBCT. For clinical studies, the pooled (95% confidence interval) platform deviation, apex deviation, and angular deviation were 0.68 (0.57, 0.79) mm, 0.67 (0.58, 0.75) mm, and 1.69 (1.25, 2.12)°, respectively. There was no statistically significant difference between the accuracy of implants placed in partially or fully edentulous patients. For model studies, the pooled platform deviation, apex deviation, and angular deviation were 0.72 (0.58, 0.86) mm, 0.90 (0.74, 1.06) mm, and 1.46 (1.22, 1.70)°, respectively. No adverse event was reported.

CONCLUSION

Within the limitation of the present systematic review, robotic surgery for dental implant placement showed suitable implant positional accuracy and had no reported obvious harm. Both robotic systems and clinical studies on robotic surgery for dental implant placement should be further developed.

An in vitro analysis of the accuracy of static and robot-assisted implant surgery

OBJECTIVES

Robot-assisted implant surgery (RAIS) is purported to improve the accuracy of implant placement. The objective of this study was to compare RAIS with static computer-assisted implant surgery (sCAIS) in a controlled environment.

MATERIALS AND METHODS

A total of n = 102 implants were placed in the same modified typodont (n = 17 repeated simulated implant surgeries with each n = 3 implants per group) using robot-assisted or static computer-assisted implant surgery. The final implant positions were digitized utilizing cone-beam tomography and compared with the planned position. The angular deviation was the primary outcome parameter. 3D deviations at the implant platform level and the apex were secondary outcome parameters. Accuracy in terms of trueness and precision were assessed. Means, standard deviation, and 95%-confidence intervals were analyzed statistically.

RESULTS

The overall angular deviation was 2.66 ± 1.83° for the robotic system and 0.68 ± 0.38° for guided surgery using static guides (p < .001), the 3D-deviation of the implant platform at crest level was for sCAIS 0.79 ± 0.28 mm and RAIS 1.51 ± 0.53 mm (p < .001) and at the apex for sCAIS 0.82 ± 0.26 mm and for RAIS 1.97 ± 0.79 mm (p < .001), respectively.

CONCLUSIONS

Robotically guided implant surgery was less accurate in terms of trueness (planned vs. actual position) and precision (deviations among implants) than traditional static computer-assisted implant surgery in this in vitro study.

The evolution of robotics: research and application progress of dental implant robotic systems

The use of robots to augment human capabilities and assist in work has long been an aspiration. Robotics has been developing since the 1960s when the first industrial robot was introduced. As technology has advanced, robotic-assisted surgery has shown numerous advantages, including more precision, efficiency, minimal invasiveness, and safety than is possible with conventional techniques, which are research hotspots and cutting-edge trends. This article reviewed the history of medical robot development and seminal research papers about current research progress. Taking the autonomous dental implant robotic system as an example, the advantages and prospects of medical robotic systems would be discussed which would provide a reference for future research.

Correlation between intraosseous thermal change and drilling impulse data during osteotomy within autonomous dental implant robotic system: An in vitro study

OBJECTIVES

This study aims at examining the correlation of intraosseous temperature change with drilling impulse data during osteotomy and establishing real-time temperature prediction models.

MATERIALS AND METHODS

A combination of in vitro bovine rib model and Autonomous Dental Implant Robotic System (ADIR) was set up, in which intraosseous temperature and drilling impulse data were measured using an infrared camera and a six-axis force/torque sensor respectively. A total of 800 drills with different parameters (e.g., drill diameter, drill wear, drilling speed, and thickness of cortical bone) were experimented, along with an independent test set of 200 drills. Pearson correlation analysis was done for linear relationship. Four machining learning (ML) algorithms (e.g., support vector regression [SVR], ridge regression [RR], extreme gradient boosting [XGboost], and artificial neural network [ANN]) were run for building prediction models.

RESULTS

By incorporating different parameters, it was found that lower drilling speed, smaller drill diameter, more severe wear, and thicker cortical bone were associated with higher intraosseous temperature changes and longer time exposure and were accompanied with alterations in drilling impulse data. Pearson correlation analysis further identified highly linear correlation between drilling impulse data and thermal changes. Finally, four ML prediction models were established, among which XGboost model showed the best performance with the minimum error measurements in test set.

CONCLUSION

The proof-of-concept study highlighted close correlation of drilling impulse data with intraosseous temperature change during osteotomy. The ML prediction models may inspire future improvement on prevention of thermal bone injury and intelligent design of robot-assisted implant surgery.

Comparison of the accuracy of dental implant placement using dynamic and augmented reality-based dynamic navigation: An in vitro study

Background/purpose

Augmented reality has been gradually applied in dental implant surgery. However, whether the dynamic navigation system integrated with augmented reality technology will further improve the accuracy is still unknown. The purpose of this study is to investigate the accuracy of dental implant placement using dynamic navigation and augmented reality-based dynamic navigation systems.

Materials and methods

Thirty-two cone-beam CT (CBCT) scans from clinical patients were collected and used to generate 64 phantoms that were allocated to the augmented reality-based dynamic navigation (ARDN) group or the conventional dynamic navigation (DN) group. The primary outcomes were global coronal, apical and angular deviations, and they were measured after image fusion. A linear mixed model with a random intercept was used. A P value < 0.05 was considered to indicate statistical significance.

Results

A total of 242 dental implants were placed in two groups. The global coronal, apical and angular deviations of the ARDN and DN groups were 1.31 ± 0.67 mm vs. 1.18 ± 0.59 mm, 1.36 ± 0.67 mm vs. 1.39 ± 0.55 mm, and 3.72 ± 2.13° vs. 3.1 ± 1.56°, respectively. No significant differences were found with regard to coronal and apical deviations (P = 0.16 and 0.6, respectively), but the DN group had a significantly lower angular deviation than the ARDN group (P = 0.02).

Conclusion

The augmented reality-based dynamic navigation system yielded a similar accuracy to the conventional dynamic navigation system for dental implant placement in coronal and apical points, but the augmented reality-based dynamic navigation system yielded a higher angular deviation.

Preliminary study of a new macro-micro robot system for dental implant surgery: Design, development and control

BACKGROUND

This study aims to develop a new dental implant robotic system (DIRS) to relieve the burden and enhance the quality of dental implant surgery.

METHODS

The implanting actuator and system controller are two parts. The implanting actuator is designed on the basis of the RCM mechanism, with its kinematics modelled. Besides, a multi-DOF admittance control strategy and a hybrid position-admittance control strategy were designed, endowing the actuator with environmental compliance.

RESULTS

In force sensing, about 97% of mixed force/torque are eliminated. Then, 30 groups of implantation are done, of which 15 groups are simple implantation, while another 15 groups are force-based implantation. The results show that the average contact force/torque can be reduced by 73.03% and 62.66%, and the peak contact force/torque can be reduced by 68.26% and 50.46%.

CONCLUSIONS

The results of preliminary experiments validate the effectiveness of DIRS, which has great potential to assist dentists with higher efficiency, better quality, and lower burden.

A novel mixed reality-guided dental implant placement navigation system based on virtual-actual registration

BACKGROUNDS

The key to successful dental implant surgery is to place the implants accurately along the pre-operative planned paths. The application of surgical navigation systems can significantly improve the safety and accuracy of implantation. However, the frequent shift of the views of the surgeon between the surgical site and the computer screen causes troubles, which is expected to be solved by the introduction of mixed-reality technology through the wearing of HoloLens devices by enabling the alignment of the virtual three-dimensional (3D) image with the actual surgical site in the same field of view.

METHODS

This study utilized mixed reality technology to enhance dental implant surgery navigation. Our first step was reconstructing a virtual 3D model from pre-operative cone-beam CT (CBCT) images. We then obtained the relative position between objects using the navigation device and HoloLens camera. Via the algorithms of virtual-actual registration, the transformation matrixes between the HoloLens devices and the navigation tracker were acquired through the HoloLens-tracker registration, and the transformation matrixes between the virtual model and the patient phantom through the image-phantom registration. In addition, the algorithm of surgical drill calibration assisted in acquiring transformation matrixes between the surgical drill and the patient phantom. These algorithms allow real-time tracking of the surgical drill's location and orientation relative to the patient phantom under the navigation device. With the aid of the HoloLens 2, virtual 3D images and actual patient phantoms can be aligned accurately, providing surgeons with a clear visualization of the implant path.

RESULTS

Phantom experiments were conducted using 30 patient phantoms, with a total of 102 dental implants inserted. Comparisons between the actual implant paths and the pre-operatively planned implant paths showed that our system achieved a coronal deviation of 1.507 ± 0.155 mm, an apical deviation of 1.542 ± 0.143 mm, and an angular deviation of 3.468 ± 0.339°. The deviation was not significantly different from that of the navigation-guided dental implant placement but better than the freehand dental implant placement.

CONCLUSION

Our proposed system realizes the integration of the pre-operative planned dental implant paths and the patient phantom, which helps surgeons achieve adequate accuracy in traditional dental implant surgery. Furthermore, this system is expected to be applicable to animal and cadaveric experiments in further studies.

Accuracy and efficiency of robotic dental implant surgery with different human-robot interactions: An in vitro study

OBJECTIVES

This study aims to compare the surgical efficiency (preparation and operation time) and accuracy of implant placement between robots with different human-robot interactions.

METHODS

The implant robots were divided into three groups: semi-active robot (SR), active robot (AR) and passive robot (PR). Each robot placed two implants (#31 and #36) on a phantom, practising 10 times. The surgical efficiency and accuracy of implant placement were then evaluated.

RESULTS

Sixty implants were placed in 30 phantoms. The mean preparation times for the AR, PR and SR groups were 3.85 ± 0.17 min, 2.14 ± 0.06 mins and 1.65 ± 0.19 mins, respectively. The mean operation time of the PR group (3.76 ± 0.59 min) was shorter that of than the AR (4.89 ± 0.70 mins) and SR (4.59 ± 0.56 min) groups (all P < 0.001). The operation time of the AR group in the anterior region (4.47 ± 0.31 min) was longer than that of the SR group (4.07 ± 0.10 min) (P = 0.007). The mean coronal, apical and axial deviations of the PR group (0.40 ± 0.12 mm, 0.49 ± 0.13 mm, 0.96 ± 0.22°) were higher than those of the AR (0.23 ± 0.11 mm, 0.24 ± 0.11 mm, 0.54 ± 0.20 °) (all P < 0.001) and SR (0.31 ± 0.10 mm, 0.36 ± 0.12 mm, 0.43 ± 0.14 °) groups (P = 0.044, P = 0.002, and P < 0.001, respectively).

CONCLUSIONS

Human-robot interactions affect the efficiency of implant surgery. Active and semi-active robots show comparable implant accuracy. However, the implants placed by the passive robot show higher deviations.

CLINICAL SIGNIFICANCE

This in vitro study preliminarily demonstrates that implant placement is accurate when using implant robots with different human-robot interactions. However, different human-robot interactions have variable surgical efficiencies.

Preoperative Planning Framework for Robot-Assisted Dental Implant Surgery: Finite-Parameter Surrogate Model and Optimization of Instrument Placement

For robot-assisted dental implant surgery, it is necessary to feed the instrument into a specified position to perform surgery. To improve safety and efficiency, a preoperative planning framework, including a finite-parameter surrogate model (FPSM) and an automatic instrument-placement method, is proposed in this paper. This framework is implemented via two-stage optimization. In the first stage, a group of closed curves in polar coordinates is used to represent the oral cavity. By optimizing a finite number of parameters for these curves, the oral structure is simplified to form the FPSM. In the second stage, the FPSM serves as a fast safety estimator with which the target position/orientation of the instrument for the feeding motion is automatically determined through particle swarm optimization (PSO). The optimized feeding target can be used to generate a virtual fixture (VF) to avoid undesired operations and to lower the risk of collision. This proposed framework has the advantages of being safe, fast, and accurate, overcoming the computational burden and insufficient real-time performance of complex 3D models. The framework has been developed and tested, preliminarily verifying its feasibility, efficiency, and effectiveness.

Accuracy of dental implant placement with a robotic system in partially edentulous patients: A prospective, single-arm clinical trial

OBJECTIVES

This clinical study aimed to assess the accuracy of implant positions using a robotic system in partially edentulous patients.

MATERIALS AND METHODS

Twenty-eight partially edentulous patients received 31 implants using the robotic system. Deviations between the planned and placed implants were calculated after surgery. The deviations were compared with objective performance goals (OPGs) from reported studies of fully guided static computer-assisted implant surgery (CAIS) and dynamic CAIS. A multiple linear regression analysis was performed to investigate the possible effects of the type and side of the arch, implant location, and implant dimensions on the deviations.

RESULTS

The evaluation of 31 implants resulted in a mean angle deviation of 2.81 ± 1.13° (95% confidence interval (CI): 2.40-3.23°), while the 3D deviations at the implant shoulder and apex were 0.53 ± 0.23 mm (95% CI 0.45-0.62 mm) and 0.53 ± 0.24 mm (95% CI 0.44-0.61 mm), respectively. The upper limits of the 95% CI of 3D deviations were lower than those of the corresponding OPGs; however, the angle deviation was similar to that of the OPG. No statistically significant differences were found for the type and side of the arch, implant location, and implant dimensions to the deviations (p > .05).

CONCLUSIONS

The robotic system appears to achieve higher accuracy in implant positions than static and dynamic CAIS in partially edentulous patients (Chinese Clinical Trial Registry ChiCTR2300067587).