Luo Zixin, Li An, Unkovskiy Alexey, Li Jiang, Beuer Florian, Wu Zhe, Li Ping
School and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Medical University, Guangzhou, 510182, China.
Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou, 510182, China.
BMC Oral Health. 2025 Apr 11;25(1):540. doi: 10.1186/s12903-025-05837-2.
To analyze the accuracy of the robotic system in clinical studies and assess potential factors that might affect the accuracy of robotic implant placement.
PubMed, Embase, and Cochrane Central Register of Controlled Trials were used to search for studies published from August 2014 till October 2024. Studies on robotic computer-assisted implant surgery (R-CAIS) were identified. Furthermore, manual searches were performed for selected journals. Only clinical studies were included. Subgroup analysis was performed based on robot autonomy, different dentitions, and the working principle of the camera.
Sixteen studies met the inclusion criteria, evaluating 908 implants. The meta-analysis of accuracy showed that the average global platform deviation, global apex deviation, and angular deviation were 0.69 mm (95% CI: 0.61‒0.77, I = 94%), 0.72 mm (95% CI: 0.64‒0.79, I = 93%), and 1.62° (95% CI: 1.34°‒1.89°, I = 96%), respectively. In subgroup analysis, Meta-generic inverse variance analysis observed statistically significant differences in global platform deviation and apex deviation between robots using infrared and mechanical tracking (p < 0.01), as well as between those using visible light and mechanical tracking (p < 0.01). No significant differences were observed between autonomous and semi-active systems and different dentitions.
The R-CAIS technology demonstrated a high level of accuracy. However, further large-scale, multi-center, randomized, controlled clinical trials are necessary to compare robotic implant placement with other techniques, and the additional factors influencing robotic implant placement must be explored.
分析机器人系统在临床研究中的准确性，并评估可能影响机器人植入物放置准确性的潜在因素。
使用PubMed、Embase和Cochrane对照试验中央注册库检索2014年8月至2024年10月发表的研究。确定有关机器人计算机辅助植入手术（R-CAIS）的研究。此外，还对选定的期刊进行了手工检索。仅纳入临床研究。根据机器人自主性、不同牙列和摄像头工作原理进行亚组分析。
16项研究符合纳入标准，共评估了908颗植入物。准确性的荟萃分析表明，平均全球平台偏差、全球根尖偏差和角度偏差分别为0.69毫米（95%CI：0.61‒0.77，I=94%）、0.72毫米（95%CI：0.64‒0.79，I=93%）和1.62°（95%CI：1.34°‒1.89°，I=96%）。在亚组分析中，Meta通用逆方差分析观察到，使用红外和机械跟踪的机器人之间以及使用可见光和机械跟踪的机器人之间，全球平台偏差和根尖偏差存在统计学显著差异（p<0.01）。自主和半主动系统以及不同牙列之间未观察到显著差异。
R-CAIS技术显示出较高的准确性。然而，有必要进行进一步的大规模、多中心、随机对照临床试验，以比较机器人植入物放置与其他技术，并探索影响机器人植入物放置的其他因素。
