Sydney Orthopaedic Research Institute, 445 Victoria Avenue, Chatswood, NSW, 2067, Australia.
Arch Orthop Trauma Surg. 2021 Dec;141(12):2099-2117. doi: 10.1007/s00402-021-04134-1. Epub 2021 Sep 7.
A review of the data supporting robotic systems currently available is presented focussing on precision and reproducibility, radiological outcomes, clinical outcomes, and survivorship.
Scientific literature published on robotic systems for knee arthroplasty was reviewed using the reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Inclusion criteria were any study involving robotic-assisted UKA or TKA that reported precision of implant positioning or functional outcomes or range of motion or survivorship, including cadaveric or dry bone studies with a minimum of 6-month follow-up.
Thirty-nine studies were identified for robotic-assisted unicompartmental knee arthroplasty, and 24 studies for robotic-assisted total knee arthroplasty. Those that reported on radiological outcomes or cadaver studies consistently demonstrated improved precision with the use of robotic systems irrespective of the system. PROMS and survival data demonstrated equivalent short-term results. However, many studies reported outcomes inconsistently and few had long-term clinical follow-up or survivorship data.
This review adds to the body of evidence supporting improved precision and reproducibility with robotic assistance in knee arthroplasty. Despite intensive funding of research into robotic knee systems, there remains considerable heterogeneity in exposure and outcome analysis and few quality long-term studies demonstrating translation to better clinical outcomes and implant survivorship.
本文回顾了目前可用于膝关节置换的机器人系统的相关数据,重点关注精度和可重复性、放射学结果、临床结果和存活率。
采用系统评价和荟萃分析报告项目(PRISMA)指南,对机器人膝关节置换的科学文献进行了综述。纳入标准为涉及机器人辅助 UKA 或 TKA 的任何研究,报告了植入物定位精度或功能结果或运动范围或存活率,包括至少 6 个月随访的尸体或干骨研究。
共确定了 39 项关于机器人辅助单髁膝关节置换的研究和 24 项关于机器人辅助全膝关节置换的研究。那些报告放射学结果或尸体研究的研究表明,无论使用哪种系统,机器人系统都能提高精度。PROMS 和生存率数据显示短期结果相当。然而,许多研究报告的结果不一致,很少有长期的临床随访或生存率数据。
本综述增加了支持机器人辅助膝关节置换术提高精度和可重复性的证据。尽管对机器人膝关节系统的研究投入了大量资金,但在暴露和结果分析方面仍存在很大的异质性,很少有高质量的长期研究表明这能转化为更好的临床结果和植入物存活率。