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一种用于全膝关节置换术的新型截骨块定位机器人手臂辅助系统的准确性和结果:系统评价和荟萃分析

Accuracy and Outcomes of a Novel Cut-Block Positioning Robotic-Arm Assisted System for Total Knee Arthroplasty: A Systematic Review and Meta-Analysis.

作者信息

Zaidi Faseeh, Goplen Craig M, Bolam Scott M, Monk Andrew P

机构信息

Department of Surgery, University of Auckland, Auckland, New Zealand.

Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

出版信息

Arthroplast Today. 2024 Aug 4;29:101451. doi: 10.1016/j.artd.2024.101451. eCollection 2024 Oct.

Abstract

BACKGROUND

The primary objective of this study was to determine the accuracy and precision of component positioning of the ROSA Robotic System for total knee arthroplasty (TKA).

METHODS

A Preferred Reporting Items for Systematic Reviews and Meta-Analysis systematic review was conducted using 4 electronic databases (MEDLINE, EMBASE, Pubmed, and Cochrane Library) to identify all clinical and radiological studies reporting information about the use and results of the ROSA system. The criteria for inclusion were published research articles evaluating the accuracy of component positioning, learning curve, component alignment, complications, and functional outcomes in adults who underwent robotic-assisted TKA. The National Institutes of Health Quality Assessment Tool was used to evaluate the quality of all the included studies.

RESULTS

A total of 26 studies were assessed for eligibility, and 17 met the inclusion criteria. Nine studies reported on the accuracy and precision of component positioning. The ROSA platform for TKA had a cutting error of less than 0.6 for all coronal and sagittal parameters. Pooled analysis demonstrated accuracy within 0.61-1.87 and precision within 0.97-1.34 when the final intraoperative plan was compared to postoperative radiographs with fewer outliers. Four studies reported improved functional scores with ROSA-assisted TKA than conventional TKA within 1 year of surgery. There was no difference in overall complication rates when compared to conventional TKA.

CONCLUSIONS

The ROSA system is both highly accurate and precise, with fewer outliers when analyzed at various time points, including postoperative standing radiographs. Future studies with robust methodology and longer follow-up are required to demonstrate whether these findings have any clinical benefits in the long term.

摘要

背景

本研究的主要目的是确定ROSA机器人系统用于全膝关节置换术(TKA)时组件定位的准确性和精确性。

方法

使用4个电子数据库(MEDLINE、EMBASE、Pubmed和Cochrane图书馆)进行系统评价的首选报告项目系统评价,以识别所有报告有关ROSA系统使用和结果信息的临床和放射学研究。纳入标准为已发表的研究文章,评估接受机器人辅助TKA的成年人的组件定位准确性、学习曲线、组件对齐、并发症和功能结果。使用美国国立卫生研究院质量评估工具评估所有纳入研究的质量。

结果

共评估了26项研究的 eligibility,17项符合纳入标准。9项研究报告了组件定位的准确性和精确性。TKA的ROSA平台在所有冠状面和矢状面参数上的切割误差均小于0.6。当将最终术中计划与术后X线片进行比较且异常值较少时,汇总分析显示准确性在0.61-1.87之间,精确性在0.97-1.34之间。4项研究报告称,与传统TKA相比,ROSA辅助TKA在术后1年内功能评分有所改善。与传统TKA相比,总体并发症发生率没有差异。

结论

ROSA系统既高度准确又精确,并在包括术后站立位X线片在内的各个时间点进行分析时异常值较少。需要采用更可靠的方法并进行更长时间随访的未来研究,以证明这些发现从长远来看是否具有任何临床益处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/473a/11345934/c4d03a87d524/gr1.jpg

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