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全膝关节置换术的计算机辅助技术进展

Advances in Computer-Aided Technology for Total Knee Arthroplasty.

作者信息

Siddiqi Ahmed, Hardaker W Mack, Eachempati Krishna Kiran, Sheth Neil P

出版信息

Orthopedics. 2017 Nov 1;40(6):338-352. doi: 10.3928/01477447-20170831-02. Epub 2017 Sep 7.

Abstract

Technology such as computer-assisted navigation systems, robotic-assisted systems, and patient-specific instrumentation has been increasingly explored during the past decade in an effort to optimize component alignment and improve clinical outcomes. Computer-assisted navigation accurately restores mechanical-axis alignment, but clinical outcome data are inconsistent. Computer-assisted navigation gap balancing has shown early promise in establishing mechanical-axis alignment with improved functional outcomes. Robotic-assisted systems more accurately restore component alignment when compared with computer-assisted navigation, but clinical outcomes have yet to be determined. Patient-specific instrumentation does not consistently improve alignment, accuracy, or patient outcomes. Studies demonstrating implant survivorship, cost-efficiency, and improved clinical outcomes and patient satisfaction are needed. [Orthopedics. 2017; 40(6):338-352.].

摘要

在过去十年中,人们越来越多地探索诸如计算机辅助导航系统、机器人辅助系统和定制化器械等技术,以优化部件对齐并改善临床结果。计算机辅助导航能够精确恢复机械轴对齐,但临床结果数据并不一致。计算机辅助导航间隙平衡在建立机械轴对齐并改善功能结果方面已显示出早期前景。与计算机辅助导航相比,机器人辅助系统能更精确地恢复部件对齐,但临床结果尚未确定。定制化器械并不能始终如一地改善对齐、准确性或患者结果。需要开展研究来证明植入物的生存率、成本效益、改善的临床结果以及患者满意度。[《骨科》。2017年;40(6):338 - 352。]

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