Robotic Systems in Knee Surgery: Current Concepts and Future Perspectives

Author:

Cantivalli Antonino1ORCID,Cottino Umberto2,Bonasia Davide Edoardo2ORCID,Rosso Federica2ORCID,Rossi Roberto2

Affiliation:

1. ASLTO5, Department of Orthopaedics and Traumatology, Ospedale Maggiore di Chieri, Via Giovanni de Maria, 1, 10023 Chieri, Italy

2. AO Ordine Mauriziano Hospital, Department of Orthopaedics and Traumatology, University of Turin, Largo Turati 62, 10128 Torino, Italy

Abstract

Total knee arthroplasty (TKA) is a successful and highly effective procedure in most patients with tricompartmental knee arthritis. Despite the innovations in surgical techniques due to planning software and technological innovations, patients’ dissatisfaction after TKA is still high, at up to 20%. Robotic-assisted surgery (RAS) could be considered as a future option for improving outcomes due to its higher accuracy, precision, and reliability. Robotic systems can be classified as fully active, semi-active, or passive depending on the surgeon’s involvement during the procedure, and as imageless or image-based according to the necessity of radiological exams for the pre-operative planning. Three of the most well-known robotic systems for knee surgery are MAKO® (Stryker Ltd., Kalamazoo, MI, USA), NAVIO® (Smith & Nephew, Andover, TX, USA), and ROSA® (Zimmer Inc., Warsaw, IN, USA). These systems show differences in terms of surgeon involvement, the use of CT scans or X-rays for pre-operative planning, the possibility to perform both unicompartmental knee arthroplasty (UKA) and TKA (or even total hip arthroplasty THA), and in the different kinds of knee prosthesis that can be implanted. This article aims to describe the features of the most used robotic systems for knee arthroplasty, to examine their outcomes and analyze their cost-effectiveness, and to evaluate future perspectives.

Publisher

MDPI AG

Subject

Rehabilitation,Materials Science (miscellaneous),Biomedical Engineering,Oral Surgery

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3