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

IF 1.5 Q3 ORTHOPEDICS Arthroplasty Today Pub Date : 2024-08-04 DOI:10.1016/j.artd.2024.101451
Faseeh Zaidi MBChB, MBiomedSc, BMedSc (Hons) , Craig M. Goplen FRCS, MBBS, MSc , Scott M. Bolam MBChB, PhD , Andrew P. Monk FRCS (TR+ORTH), DPHIL (OXON), MBBS, MSc, BSc (Hons)
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引用次数: 0

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.

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用于全膝关节置换术的新型切块定位机械臂辅助系统的准确性和疗效:系统回顾与元分析
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) 的部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 Library)进行了系统综述,以确定所有报道 ROSA 系统使用和结果的临床和放射学研究。纳入标准是已发表的研究文章,这些文章评估了接受机器人辅助 TKA 的成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。美国国立卫生研究院质量评估工具用于评估所有纳入研究的质量。结果 共有26项研究通过了资格评估,其中17项符合纳入标准。九项研究报告了组件定位的准确性和精确性。用于 TKA 的 ROSA 平台在所有冠状和矢状参数上的切割误差均小于 0.6°。汇总分析表明,当术中最终计划与异常值较少的术后 X 光片进行比较时,准确度在 0.61-1.87° 以内,精确度在 0.97-1.34° 以内。四项研究报告称,术后一年内,ROSA辅助TKA的功能评分高于传统TKA。结论ROSA系统具有高度准确性和精确性,在不同时间点进行分析,包括术后立位X光片,其异常值较少。未来的研究需要采用可靠的方法并进行更长时间的随访,以证明这些发现是否会带来长期的临床益处。
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来源期刊
Arthroplasty Today
Arthroplasty Today Medicine-Surgery
CiteScore
2.90
自引率
0.00%
发文量
258
审稿时长
40 weeks
期刊介绍: Arthroplasty Today is a companion journal to the Journal of Arthroplasty. The journal Arthroplasty Today brings together the clinical and scientific foundations for joint replacement of the hip and knee in an open-access, online format. Arthroplasty Today solicits manuscripts of the highest quality from all areas of scientific endeavor that relate to joint replacement or the treatment of its complications, including those dealing with patient outcomes, economic and policy issues, prosthetic design, biomechanics, biomaterials, and biologic response to arthroplasty. The journal focuses on case reports. It is the purpose of Arthroplasty Today to present material to practicing orthopaedic surgeons that will keep them abreast of developments in the field, prove useful in the care of patients, and aid in understanding the scientific foundation of this subspecialty area of joint replacement. The international members of the Editorial Board provide a worldwide perspective for the journal''s area of interest. Their participation ensures that each issue of Arthroplasty Today provides the reader with timely, peer-reviewed articles of the highest quality.
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