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神经外科中的机器人技术:现状与未来技术挑战

Robotics in neurosurgery: state of the art and future technological challenges.

作者信息

Zamorano L, Li Q, Jain S, Kaur G

机构信息

Neurological Surgery Department, Wayne State University, Detroit, Michigan, USA.

出版信息

Int J Med Robot. 2004 Jun;1(1):7-22. doi: 10.1002/rcs.2.

Abstract

The use of robotic technologies to assist surgeons was conceptually described almost thirty years ago but has only recently become feasible. In Neurosurgery, medical robots have been applied to neurosurgery for over 19 years. Nevertheless this field remains unknown to most neurosurgeons. The intrinsic characteristics of robots, such as high precision, repeatability and endurance make them ideal surgeon's assistants. Unfortunately, limitations in the current available systems make its use limited to very few centers in the world. During the last decade, important efforts have been made between academic and industry partnerships to develop robots suitable for use in the operating room environment. Although some applications have been successful in areas of laparoscopic surgery and orthopaedics, Neurosurgery has presented a major challenge due to the eloquence of the surrounding anatomy. This review focuses on the application of medical robotics in neurosurgery. The paper begins with an overview of the development of the medical robotics, followed by the current clinical applications in neurosurgery and an analysis of current limitations. We discuss robotic applications based in our own experience in the field. Next, we discuss the technological challenges and research areas to overcome those limitations, including some of our current research approaches for future progress in the field.

摘要

使用机器人技术辅助外科医生的概念在近三十年前就已被提出,但直到最近才变得可行。在神经外科领域,医疗机器人应用于神经外科手术已有19年多的时间。然而,大多数神经外科医生对这一领域仍不了解。机器人的内在特性,如高精度、可重复性和耐久性,使其成为理想的外科手术助手。不幸的是,现有系统的局限性使得其应用仅限于世界上极少数的中心。在过去十年中,学术界和产业界通过合作做出了重大努力,以开发适用于手术室环境的机器人。尽管一些应用在腹腔镜手术和骨科领域取得了成功,但由于周围解剖结构的复杂性,神经外科手术面临着重大挑战。本综述聚焦于医疗机器人在神经外科手术中的应用。本文首先概述了医疗机器人技术的发展,接着介绍了其在神经外科手术中的当前临床应用,并分析了当前存在的局限性。我们将根据自己在该领域的经验讨论机器人的应用。接下来,我们将探讨克服这些局限性的技术挑战和研究领域,包括我们目前在该领域取得未来进展的一些研究方法。

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