Robotic-assisted total hip arthroplasty

Journal of Joint Surgery and Research Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI:10.1016/j.jjoisr.2025.12.006
Faraz A. Asim , K. Keely Boyle , Antonia F. Chen
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引用次数: 0

Abstract

Purpose

The aim of the review was to outline the evolution of navigation and robotic-assisted systems in total hip arthroplasty (THA), describe major classification schemes and current platforms, and summarize evidence on their clinical performance and limitations.

Methods

This review traces the development of computer-assisted and robotic-assisted technologies in THA, highlights key system classifications and representative platforms, and synthesizes published data on accuracy, outcomes, and workflow considerations.

Results

Navigation and robotic-assisted systems were developed to reduce variability in component placement through pre-operative planning, intra-operative guidance, and real-time feedback. Evidence demonstrates that robotic-assisted THA improves the accuracy of component orientation and limb length restoration compared with manual techniques, while long-term functional outcomes and cost effectiveness remain similar.

Conclusions

Robotic-assisted THA provides measurable improvements in technical accuracy and reproducibility. However, further prospective studies with robust methodology are needed to clarify its long-term clinical and economic value.
机器人辅助全髋关节置换术
目的概述全髋关节置换术中导航和机器人辅助系统的发展,描述主要分类方案和当前平台,并总结其临床表现和局限性的证据。本文回顾了人工髋关节手术中计算机辅助和机器人辅助技术的发展,重点介绍了关键的系统分类和代表性平台,并综合了有关准确性、结果和工作流程考虑因素的已发表数据。结果通过术前计划、术中指导和实时反馈,开发了导航和机器人辅助系统,以减少组件放置的可变性。有证据表明,与人工技术相比,机器人辅助THA提高了部件定位和肢体长度恢复的准确性,而长期功能结果和成本效益保持相似。结论机器人辅助THA在技术准确性和可重复性方面有显著提高。然而,需要进一步的前瞻性研究和可靠的方法来阐明其长期临床和经济价值。
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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