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一种新型手持式机器人辅助单髁膝关节置换系统:手术技术和早期生存率。

A novel handheld robotic-assisted system for unicompartmental knee arthroplasty: surgical technique and early survivorship.

机构信息

Department of Orthopaedic Surgery, Rothman Institute, Thomas Jefferson University, 925 Chestnut Street, Philadelphia, PA, 19107, USA.

Smith and Nephew, 150 Minuteman Rd, Andover, MA, 01810, USA.

出版信息

J Robot Surg. 2020 Feb;14(1):55-60. doi: 10.1007/s11701-018-00907-w. Epub 2019 Feb 14.

Abstract

Technology, including robotics, has been developed for use in unicompartmental knee arthroplasty (UKA) to improve accuracy and precision of bone preparation, implant positioning, and soft tissue balance. The NAVIO™ System (Smith and Nephew, Pittsburgh, PA, United States) is a handheld robotic system that assists surgeons in planning implant positioning based on an individual patient's anatomy and then preparing the bone surface to accurately achieve the plan. The surgical technique is presented herein. In addition, initial results are presented for 128 patients (mean age 64.7 years; 57.8% male) undergoing UKA with NAVIO. After a mean of follow-up period of 2.3 years, overall survivorship of the knee implant was 99.2% (95% confidence interval 94.6-99.9%). There was one revision encountered during the study, which was due to persistent soft tissue pain, without evidence of loosening, subsidence, malposition or infection. These initial results suggest a greater survivorship than achieved in the same follow-up time intervals in national registries and cohort studies, though further follow-up is needed to confirm whether this difference is maintained at longer durations.

摘要

技术,包括机器人技术,已经被开发用于单髁膝关节置换术(UKA),以提高骨准备、植入物定位和软组织平衡的准确性和精度。 NAVIO™系统(Smith and Nephew,匹兹堡,宾夕法尼亚州,美国)是一种手持机器人系统,可帮助外科医生根据患者的个体解剖结构规划植入物的定位,然后准备骨表面以准确实现计划。本文介绍了手术技术。此外,还介绍了 128 例(平均年龄 64.7 岁;男性占 57.8%)接受 NAVIO 辅助 UKA 的患者的初步结果。平均随访 2.3 年后,膝关节植入物的总体存活率为 99.2%(95%置信区间 94.6-99.9%)。在研究期间,发生了一次翻修,原因是持续的软组织疼痛,没有松动、下沉、错位或感染的证据。这些初步结果表明,与国家登记处和队列研究在相同随访时间间隔内的结果相比,存活率更高,但需要进一步随访以确认这种差异是否在更长的时间内保持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9aa4/7000507/5e4c47138d07/11701_2018_907_Fig1_HTML.jpg

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