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机器人技术与计算机辅助骨科手术

Robotics and computer-assisted orthopaedic surgery.

作者信息

Specht L M, Koval K J

机构信息

NYU-Hospital for Joint Diseases, Department of Orthopaedic Surgery, New York, New York 10003, USA.

出版信息

Bull Hosp Jt Dis. 2001;60(3-4):168-72.

Abstract

These are just a few representative applications of the synergistic use of computer and robotic technology assisting the orthopaedic surgeon. While the individual systems are certain to change over time, the basic principles of correlating radiographic and anatomic data through a registration process, and displaying additional instrument or implant information through smart tools and surgical navigation are certain to become an increasingly important aspect of joint arthroplasty, deformity correction, and spinal and trauma surgery. Only the orthopaedic surgeon who clearly understands the goals, applications, and limitations of these systems can decide which are appropriate for his patients, his hospital, and his practice. Determining the cost and time benefits, both before and after an obligatory "learning curve" requires a complex interaction of capital investments, time savings, and outcome research on both safety and efficacy issues. The orthopaedist who understands and applies these technologies will help his patients to achieve the best possible care. Excellent resources in the literature on this topic include the September, 1998, issue of Clinical Orthopaedics and Related Research, a symposium on "Computer-Assisted Orthopaedic Surgery: Medical Robots and Image Guided Surgery"; Guest editor, Anthony M. DiGioia, III, MD. Also, the January, 2000, issue of Operative Techniques in Orthopaedics, "Medical Robotics and Computer-Assisted Orthopaedic Surgery. Guest editors: Anthony M. DiGioia, III, M.D. and Branislav Jaramaz, Ph.D. Additional Internet based information is available from the Journal of Computer Aided Surgery (formerly: Journal of Image Guided Surgery), at http://journals.wiley.com/.

摘要

这些只是计算机与机器人技术协同应用辅助骨科医生的几个典型例子。虽然随着时间推移,各个系统肯定会有所变化,但通过配准过程关联影像学和解剖学数据,以及通过智能工具和手术导航显示额外器械或植入物信息的基本原则,必将成为关节置换、畸形矫正以及脊柱和创伤手术中越来越重要的方面。只有清楚了解这些系统的目标、应用和局限性的骨科医生,才能决定哪些系统适合他的患者、他的医院和他的业务。在经历必要的“学习曲线”前后,确定成本和时间效益需要在资本投资、时间节省以及关于安全性和有效性问题的结果研究之间进行复杂的相互作用。理解并应用这些技术的骨科医生将帮助他的患者获得尽可能最佳的治疗。关于这个主题的文献中的优秀资源包括1998年9月的《临床骨科学及相关研究》,一期关于“计算机辅助骨科手术:医疗机器人与图像引导手术”的专题研讨会;客座编辑安东尼·M·迪乔亚三世,医学博士。此外,2000年1月的《骨科手术技术》,“医疗机器人与计算机辅助骨科手术”。客座编辑:安东尼·M·迪乔亚三世,医学博士和布拉尼斯拉夫·亚拉马兹,博士。更多基于互联网的信息可从《计算机辅助外科杂志》(原:《图像引导外科杂志》)获取,网址为http://journals.wiley.com/

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