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机器人技术在脑血管和血管内神经外科学中的当前应用和未来展望。

Current applications and future perspectives of robotics in cerebrovascular and endovascular neurosurgery.

机构信息

Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA.

Department of Radiology, University of Miami Miller School of Medicine, Miami, Florida, USA.

出版信息

J Neurointerv Surg. 2018 Jan;10(1):78-82. doi: 10.1136/neurintsurg-2017-013284. Epub 2017 Aug 18.

Abstract

Advances in robotic medicine have been adopted by various surgical subspecialties as the benefits of this technology become more readily apparent: precision in narrow operative windows, tremor controlled movements, and modestly improved outcomes, among others. Vascular neurosurgery, in particular, remains open to newer and more cutting edge treatment options for complex pathologies, and robotics may be on the horizon for such advances. We seek to provide a broad overview of these innovations in vascular neurosurgery for both practitioners well acquainted with robotics and those seeking to become more familiar. Technologies under development for cerebrovascular and endovascular neurosurgery include robot assisted angiography, guided operative microscopes, coil insertion systems, and endoscopic clipping devices. Additionally, robotic systems in the fields of interventional cardiology and radiology have potential applications to endovascular neurosurgery but require proper modifications to navigate complex intracerebral vasculature. Robotic technology is not without drawbacks, as broad implementation may lead to increased cost, training time, and potential delays in emergency situations. Further cultivation of current multidisciplinary technologies and investment into newer systems is necessary before robotics can make a sizable impact in clinical practice.

摘要

机器人医学的进步已经被各种外科亚专业所采用,因为这项技术的好处变得更加明显:在狭窄的手术窗口中实现精确操作、控制震颤运动,以及适度提高手术效果等。血管神经外科学尤其为复杂病变提供了更多的新的和更前沿的治疗选择,机器人技术可能是这些进步的未来方向。我们旨在为熟悉机器人技术的从业者以及希望更深入了解机器人技术的从业者提供血管神经外科学中这些创新技术的广泛概述。正在开发的用于脑血管和血管内神经外科学的技术包括机器人辅助血管造影、手术显微镜引导、线圈插入系统和内窥镜夹闭装置。此外,介入心脏病学和放射学领域的机器人系统在血管内神经外科学中有潜在的应用,但需要进行适当的修改,以导航复杂的颅内血管。机器人技术并非没有缺点,因为广泛实施可能会导致成本增加、培训时间延长以及在紧急情况下潜在的延迟。在机器人技术能够对临床实践产生重大影响之前,有必要进一步培养当前的多学科技术并投资于新系统。

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