Dental implant placement accuracy with robotic surgery compared to free-hand, static and dynamic computer assisted techniques: Systematic review and meta-analysis.

Q1 Medicine Journal of oral biology and craniofacial research Pub Date : 2025-01-01 Epub Date: 2024-12-11 DOI:10.1016/j.jobcr.2024.12.005
Hariram Sankar, M Shalini, Anjana Rajagopalan, Satish Gupta, Amit Kumar, Rukhsar Shouket
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Abstract

Background: This systematic review and meta-analysis compared the accuracy of robotic-assisted dental implant placement (r-CAIS) with conventional freehand, static computer-assisted (s-CAIS), and dynamic computer-assisted (d-CAIS) techniques.

Methods: A comprehensive search was conducted in PubMed, Google Scholar, Semantic Scholar, and the Cochrane Library from January 2000 to January 2024. Studies meeting PICOST criteria, including clinical and in vitro studies, were included. Data on coronal, apical, and angular deviations were extracted for meta-analysis. The risk of bias (RoB) was assessed using the QUIN RoB and JBI RoB tools.

Results: A total of 134 models and 100 patients with edentulous and partially edentulous arches were included. Eight studies (four in vitro, four in vivo) were reviewed, demonstrating that r-CAIS offers superior accuracy compared to freehand, s-CAIS, and d-CAIS techniques. Among the studies, two in vitro and two in vivo studies had a low RoB, while others had a high RoB. The meta-analysis of five studies showed significant improvements in coronal, apical, and angular deviations with robotic systems.

Conclusion: Robotic-assisted systems showed greater accuracy than traditional non-robotic systems. However, this finding should be interpreted with caution due to the limited number of clinical studies and potential funding biases. Moreover, the high cost of robotic systems presents challenges for routine clinical implementation. Future research should focus on cost-effectiveness and seek broader clinical validation.

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与徒手、静态和动态计算机辅助技术相比,机器人手术的牙种植体放置准确性:系统回顾和荟萃分析。
背景:本系统综述和荟萃分析比较了机器人辅助种植体植入(r-CAIS)与传统徒手、静态计算机辅助(s-CAIS)和动态计算机辅助(d-CAIS)技术的准确性。方法:综合检索2000年1月至2024年1月PubMed、谷歌Scholar、Semantic Scholar和Cochrane Library。符合PICOST标准的研究包括临床和体外研究。提取冠状、根尖和角度偏差数据进行meta分析。使用QUIN RoB和JBI RoB工具评估偏倚风险(RoB)。结果:共纳入134个模型和100例无牙和部分无牙弓患者。回顾了八项研究(四项体外研究,四项体内研究),表明与徒手、s-CAIS和d-CAIS技术相比,r-CAIS具有更高的准确性。在这些研究中,两项体外研究和两项体内研究的RoB较低,而其他研究的RoB较高。五项研究的荟萃分析显示,机器人系统在冠状、根尖和角度偏差方面有显著改善。结论:机器人辅助系统比传统的非机器人辅助系统具有更高的准确性。然而,由于临床研究数量有限和潜在的资金偏见,应该谨慎解释这一发现。此外,机器人系统的高成本对常规临床实施提出了挑战。未来的研究应侧重于成本效益,并寻求更广泛的临床验证。
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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
133
审稿时长
167 days
期刊介绍: Journal of Oral Biology and Craniofacial Research (JOBCR)is the official journal of the Craniofacial Research Foundation (CRF). The journal aims to provide a common platform for both clinical and translational research and to promote interdisciplinary sciences in craniofacial region. JOBCR publishes content that includes diseases, injuries and defects in the head, neck, face, jaws and the hard and soft tissues of the mouth and jaws and face region; diagnosis and medical management of diseases specific to the orofacial tissues and of oral manifestations of systemic diseases; studies on identifying populations at risk of oral disease or in need of specific care, and comparing regional, environmental, social, and access similarities and differences in dental care between populations; diseases of the mouth and related structures like salivary glands, temporomandibular joints, facial muscles and perioral skin; biomedical engineering, tissue engineering and stem cells. The journal publishes reviews, commentaries, peer-reviewed original research articles, short communication, and case reports.
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