Evaluating Robotic-Assisted Total Knee Arthroplasty Compared to Conventional Methods: A Systematic Review of the Literature in the United States

IF 2.3 3区医学 Q2 SURGERY

International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2025-04-19 DOI:10.1002/rcs.70067

Taylor McClennen, Brian Carvalho, Mohamed Yousef, David C. Ayers

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引用次数: 0

Abstract

Background

Robotic-assisted total knee arthroplasty (rTKA) offers a new method of surgical management for advanced arthritis of the knee. The objective of this review was to evaluate the current literature evidence comparing rTKA to conventional methods (cTKA) across multiple outcome measures.

Methods

PubMed was used to perform a review of articles that discussed outcomes of primary rTKA. Forty-four articles were selected.

Results

rTKA improves surgical precision and accuracy compared with cTKA, potentially leading to better functional outcomes and fewer complications. rTKA has longer intraoperative times and higher initial costs but leads to shorter hospital stays, lower readmission rates, reduced long-term costs and less revisions. Patient-reported outcomes for rTKA indicate less postoperative pain, reduced opioid use, and improved function.

Conclusions

rTKA may provide improved outcomes compared with cTKA. More robust clinical evidence from US-based multicenter prospective propensity matched trials is needed to fully delineate the long-term benefits and limitations of rTKA.

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与传统方法相比，评估机器人辅助全膝关节置换术：对美国文献的系统回顾

背景机器人辅助全膝关节置换术（rTKA）为晚期膝关节炎的手术治疗提供了一种新方法。本综述旨在评估目前的文献证据，比较 rTKA 与传统方法（cTKA）在多种结果测量方面的差异。方法使用 PubMed 对讨论初级 rTKA 结果的文章进行综述。共筛选出 44 篇文章。结果与 cTKA 相比，rTKA 提高了手术的精确性和准确性，可能会带来更好的功能性结果和更少的并发症。rTKA 的术中时间更长，初始成本更高，但住院时间更短，再入院率更低，长期成本更低，翻修次数更少。患者报告的 rTKA 结果显示术后疼痛减轻、阿片类药物使用减少、功能改善。结论与 cTKA 相比，rTKA 可提供更好的疗效。需要从美国多中心前瞻性倾向匹配试验中获得更多可靠的临床证据，以全面界定 rTKA 的长期益处和局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.