Smith James Andrew, Jivraj Jamil, Wong Ronnie, Yang Victor
Department of Electrical Engineering & Computer Science, York University, Toronto, Canada.
Department of Electrical & Computer Engineering, Ryerson University, Toronto, Canada.
Ann Biomed Eng. 2016 Apr;44(4):836-46. doi: 10.1007/s10439-015-1475-4. Epub 2015 Oct 14.
This review provides an examination of contemporary neurosurgical robots and the developments that led to them. Improvements in localization, microsurgery and minimally invasive surgery have made robotic neurosurgery viable, as seen by the success of platforms such as the CyberKnife and neuromate. Neurosurgical robots can now perform specific surgical tasks such as skull-base drilling and craniotomies, as well as pedicle screw and cochlear electrode insertions. Growth trends in neurosurgical robotics are likely to continue but may be tempered by concerns over recent surgical robot recalls, commercially-driven surgeon training, and studies that show operational costs for surgical robotic procedures are often higher than traditional surgical methods. We point out that addressing performance issues related to navigation-related registration is an active area of research and will aid in improving overall robot neurosurgery performance and associated costs.
本综述对当代神经外科机器人及其发展历程进行了审视。定位、显微手术和微创手术方面的进步使机器人神经外科手术成为可能，赛博刀（CyberKnife）和神经伴侣（neuromate）等平台的成功便是例证。神经外科机器人如今能够执行特定的外科手术任务，如颅底钻孔和开颅手术，以及椎弓根螺钉植入和人工耳蜗电极插入。神经外科机器人技术的增长趋势可能会持续，但近期手术机器人召回事件、商业驱动的外科医生培训以及表明手术机器人操作成本通常高于传统手术方法的研究引发的担忧，可能会使其发展受到一定限制。我们指出，解决与导航相关配准的性能问题是一个活跃的研究领域，将有助于提高机器人神经外科手术的整体性能及相关成本。
