Accuracy of robotic computer-assisted implant surgery in clinical studies: a systematic review and meta-analysis DOI Creative Commons

Zixin Luo,

An Li, Alexey Unkovskiy

et al.

BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 11, 2025

To analyze the accuracy of robotic system in clinical studies and assess potential factors that might affect implant placement. PubMed, Embase, Cochrane Central Register Controlled Trials were used to search for published from August 2014 till October 2024. Studies on computer-assisted surgery (R-CAIS) identified. Furthermore, manual searches performed selected journals. Only included. Subgroup analysis was based robot autonomy, different dentitions, working principle camera. Sixteen met inclusion criteria, evaluating 908 implants. The meta-analysis showed average global platform deviation, apex angular deviation 0.69 mm (95% CI: 0.61‒0.77, I2 = 94%), 0.72 0.64‒0.79, 93%), 1.62° 1.34°‒1.89°, 96%), respectively. In subgroup analysis, Meta-generic inverse variance observed statistically significant differences between robots using infrared mechanical tracking (p < 0.01), as well those visible light 0.01). No autonomous semi-active systems dentitions. R-CAIS technology demonstrated a high level accuracy. However, further large-scale, multi-center, randomized, controlled trials are necessary compare placement with other techniques, additional influencing must be explored.

Language: Английский

Current Status and Future Perspectives of Robot-Assisted Dental Implant Surgery DOI
Shuang Huang, Zhongli Wang, Miaomiao Li

et al.

International Dental Journal, Journal Year: 2025, Volume and Issue: 75(3), P. 1608 - 1620

Published: March 26, 2025

Language: Английский

Citations

1
Comparative analysis of dental implant placement accuracy: Semi‐active robotic versus free‐hand techniques: A randomized controlled clinical trial DOI Creative Commons
Fan Yang, Jianping Chen, Ruijue Cao

et al.

Clinical Implant Dentistry and Related Research, Journal Year: 2024, Volume and Issue: 26(6), P. 1149 - 1161

Published: Aug. 19, 2024

Robot-assisted implant surgery has emerged as a novel digital technology, and the accuracy need further assessment.

Language: Английский

Citations

7
Effect of Bone Microstructure Derived From CBCT on the Accuracy of Robot‐Assisted Implant Surgery: A Retrospective Study DOI Creative Commons

Weixun Dong,

Linhong Wang, Yuanna Zheng

et al.

Clinical Oral Implants Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

ABSTRACT Objective The aim of this study was to investigate the influence bone microstructure on accuracy robot‐assisted dental implant surgery. Materials and Methods This retrospective analyzed 52 patients who received surgery between January 2023 October 2023. Cone beam computed tomography (CBCT) scans were used evaluate microstructural parameters, including volume (BV), tissue (TV), fraction (BV/TV), surface (BS), (BS/BV), trabecular thickness (Tb.Th), separation (Tb.Sp). Preoperative postoperative CBCT data accuracy, relationship parameters deviation platform deviation, apex angular statistically analyzed. Results In surgery, BS/BV a potential facilitator several deviations, while BV/TV Tb.Th inhibitors global respectively. Implant deviations divided into two groups large small by median, receiver operating characteristic (ROC) curve analysis showed that had largest area under ROC for predicting 0.711 ( p < 0.001), with an optimal cutoff value > 0.179, sensitivity specificity 70.37% 76.92%. Conclusion concluded might affect placement in robotic surgeries. Incorporating quality assessments preoperative planning may enhance precision outcomes procedures, highlighting further refinement robotic‐assisted techniques. Trial Registration ClinicalTrials.gov identifier: ChiCTR2400085813

Language: Английский

Citations

0
Accuracy of a Novel Robot‐Assisted System and Dynamic Navigation System for Dental Implant Placement: A Clinical Retrospective Study DOI Creative Commons
Jianping Chen, Yude Ding, Ruijue Cao

et al.

Clinical Oral Implants Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

This clinical retrospective study aimed to compare the deviations in single-tooth implant placement using novel semi-autonomous robotic-assisted surgery system (sa-RASS) and dynamic navigation (DNS) methods. A analysis of medical records from January December 2023 was conducted implantation accuracy sa-RASS DNS partially edentulous patients cone-beam computed tomography. Platform, apex, angular were measured analyzed. The Kolmogorov-Smirnov test used check data distribution, along with t-tests or Mann-Whitney U-tests, where appropriate. Fifty-seven (57 implants) analyzed: 29 (29 group 28 (28 group. comparison platform, deviation between 0.91 ± 0.46 mm vs. 1.26 0.51 (p < 0.001), 1.06 0.60 1.51 0.56 3.07° 1.66° 3.71° 1.64° > 0.05), respectively. In addition, there no significant difference different regions (premolar, molar, maxilla, mandible) length 0.05). present study, showed better positional than platform apex deviation, although these improvements may have limited relevance, suggesting that might be advantageous dental surgery. ClinicalTrials.gov identifier: ChiCTR2400085089.

Language: Английский

Citations

0
The impact of jawbone regions (molar area, premolar area, anterior area) and bone density on the accuracy of robot-assisted dental implantation: a preliminary study DOI Creative Commons

Mirealimu Miadili,

Xiao-Man Li, Yan Zhang

et al.

Frontiers in Bioengineering and Biotechnology, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 25, 2025

Robotic-assisted dental implantation represents a transformative innovation in modern dentistry, offering enhanced surgical precision and reduced variability. Despite its clinical adoption, the impact of anatomical bone-related factors on placement accuracy remains underexplored. This retrospective study evaluated 54 implants placed 30 patients using cone-beam computed tomography (CBCT) virtual planning software to analyze deviations crown position, apex angulation. Significant regional variations were observed, with higher angular anterior maxilla (mean ± SD: 3.21° 2.22°) greater positional posterior mandible (1.09 mm 0.51 mm) (p < 0.05). Implant diameter significantly influenced global deviation = 0.019), while implant length bone density (classified by Misch's system) showed no significant effects > However, denser types (D1) exhibited trend toward increased deviations, potentially due insertion resistance. These findings underscore need for region-specific bone-quality considerations robotic-assisted implantation. Refining robotic navigation feedback mechanisms is critical optimizing accuracy, particularly anatomically complex regions.

Language: Английский

Citations

0
Accuracy in dental implant placement: A systematic review and meta-analysis comparing computer-assisted (static, dynamic, robotics) and noncomputer-assisted (freehand, conventional guide) approaches DOI
Angkoon Khaohoen, Warit Powcharoen, Nobuhiro Yoda

et al.

Journal of Prosthetic Dentistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Accuracy of robotic computer-assisted implant surgery in clinical studies: a systematic review and meta-analysis DOI Creative Commons

Zixin Luo,

An Li, Alexey Unkovskiy

et al.

BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 11, 2025

To analyze the accuracy of robotic system in clinical studies and assess potential factors that might affect implant placement. PubMed, Embase, Cochrane Central Register Controlled Trials were used to search for published from August 2014 till October 2024. Studies on computer-assisted surgery (R-CAIS) identified. Furthermore, manual searches performed selected journals. Only included. Subgroup analysis was based robot autonomy, different dentitions, working principle camera. Sixteen met inclusion criteria, evaluating 908 implants. The meta-analysis showed average global platform deviation, apex angular deviation 0.69 mm (95% CI: 0.61‒0.77, I2 = 94%), 0.72 0.64‒0.79, 93%), 1.62° 1.34°‒1.89°, 96%), respectively. In subgroup analysis, Meta-generic inverse variance observed statistically significant differences between robots using infrared mechanical tracking (p < 0.01), as well those visible light 0.01). No autonomous semi-active systems dentitions. R-CAIS technology demonstrated a high level accuracy. However, further large-scale, multi-center, randomized, controlled trials are necessary compare placement with other techniques, additional influencing must be explored.

Language: Английский

Citations

0