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机器人辅助脊柱手术的准确性、翻修情况及围手术期结局比较:系统评价与Meta分析

Comparison of accuracy, revision, and perioperative outcomes in robot-assisted spine surgeries: systematic review and meta-analysis.

作者信息

MacLean Luke, Hersh Andrew M, Bhimreddy Meghana, Jiang Kelly, Davidar A Daniel, Weber-Levine Carly, Alomari Safwan, Judy Brendan F, Lubelski Daniel, Theodore Nicholas

机构信息

1Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; and.

2Department of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.

出版信息

J Neurosurg Spine. 2024 Jul 5;41(4):519-531. doi: 10.3171/2024.4.SPINE23917. Print 2024 Oct 1.

DOI:10.3171/2024.4.SPINE23917
PMID:38968628
Abstract

OBJECTIVE

Pedicle screw placement guidance is critical in spinal fusions, and spinal surgery robots aim to improve accuracy and reduce complications. Current literature has yet to compare the relative merits of available robotic systems. In this review, the authors aimed to 1) assess the current state of spinal robotics literature; 2) conduct a meta-analysis of robotic performance based on accuracy, speed, and safety; and 3) offer recommendations for robotic system selection.

METHODS

Following PRISMA guidelines, the authors conducted a systematic literature review across PubMed, Embase, Cochrane Library, Web of Science, and Scopus as of April 28, 2022, for studies on approved robots for placing lumbar pedicle screws. Three reviewers screened and extracted data relating to the study characteristics, accuracy rate, intraoperative revisions, and reoperations. Secondary performance metrics included operative time, blood loss, and radiation exposure. The authors statistically compared the performance of the robots using a random-effects model to account for variation within and between the studies. Each robot was also compared with performance benchmarks of traditional techniques including freehand, fluoroscopic, and CT-navigated insertion. Finally, we performed a Duval and Tweedie trim-and-fill test to assess for the presence of publication bias.

RESULTS

The authors identified 46 studies, describing 4670 patients and 25,054 screws, that evaluated 4 different robotic systems: Mazor X, ROSA, ExcelsiusGPS, and Cirq. The weighted accuracy rates of Gertzbein-Robbins classification grade A or B screws were as follows: ExcelsiusGPS, 98.0%; ROSA, 98.0%; Mazor, 98.2%; and Cirq, 94.2%. No robot was significantly more accurate than the others. However, the accuracy of the ExcelsiusGPS was significantly higher than that of traditional methods, and the accuracies of the Mazor and ROSA were significantly higher than that of fluoroscopy. The intraoperative revision rates were Cirq, 0.55%; ROSA, 0.91%; Mazor, 0.98%; and ExcelsiusGPS, 1.08%. The reoperation rates were Cirq, 0.28%; ExcelsiusGPS, 0.32%; and Mazor, 0.76% (no reoperations were reported for ROSA). Operative times were similar for all robots. Both the ExcelsiusGPS and Mazor were associated with significantly less blood loss than the ROSA. The Cirq had the lowest radiation exposure. Robots tended to be more accurate and generally their use was associated with fewer reoperations and less blood loss than freehand, fluoroscopic, or CT-navigated techniques.

CONCLUSIONS

Robotic platforms perform comparably based on key metrics, with high accuracy rates and low intraoperative revision and reoperation rates. The spinal robotics publication rate will continue to accelerate, and choosing a robot will depend on the context of the practice.

摘要

目的

椎弓根螺钉置入引导在脊柱融合手术中至关重要,脊柱手术机器人旨在提高准确性并减少并发症。当前文献尚未比较现有机器人系统的相对优点。在本综述中,作者旨在:1)评估脊柱机器人技术文献的现状;2)基于准确性、速度和安全性对机器人性能进行荟萃分析;3)为机器人系统的选择提供建议。

方法

作者遵循PRISMA指南,截至2022年4月28日,在PubMed、Embase、Cochrane图书馆、科学网和Scopus上对关于批准用于置入腰椎椎弓根螺钉的机器人的研究进行了系统的文献综述。三位评审员筛选并提取了与研究特征、准确率、术中修正和再次手术相关的数据。次要性能指标包括手术时间、失血量和辐射暴露。作者使用随机效应模型对机器人的性能进行统计学比较,以考虑研究内部和研究之间的差异。每个机器人还与包括徒手、透视和CT导航置入在内的传统技术的性能基准进行了比较。最后,我们进行了Duval和Tweedie修剪和填充检验,以评估发表偏倚的存在。

结果

作者确定了46项研究,描述了4670例患者和25054枚螺钉,评估了4种不同的机器人系统:Mazor X、ROSA、ExcelsiusGPS和Cirq。Gertzbein-Robbins分类A级或B级螺钉的加权准确率如下:ExcelsiusGPS为98.0%;ROSA为98.0%;Mazor为98.2%;Cirq为94.2%。没有一种机器人比其他机器人显著更准确。然而,ExcelsiusGPS的准确性显著高于传统方法,Mazor和ROSA的准确性显著高于透视法。术中修正率分别为:Cirq为0.55%;ROSA为0.91%;Mazor为0.98%;ExcelsiusGPS为1.08%。再次手术率分别为:Cirq为0.28%;ExcelsiusGPS为0.32%;Mazor为0.76%(ROSA未报告再次手术)。所有机器人的手术时间相似。ExcelsiusGPS和Mazor的失血量均显著少于ROSA。Cirq的辐射暴露最低。与徒手、透视或CT导航技术相比,机器人往往更准确,并且通常使用机器人与更少的再次手术和更少的失血量相关。

结论

基于关键指标,机器人平台的表现相当,准确率高,术中修正率和再次手术率低。脊柱机器人技术的发表率将继续加速,选择机器人将取决于实践背景。

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