Joshua Olexa, Annie Trang, Rebecca Flessner, M. Labib
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引用次数: 0
摘要
脑室腹腔分流术(VP)是最常用的神经外科手术之一,但失败率仍然很高。表面地标通常用于指导 VP 分流置管,但它们在识别目标解剖结构方面并不可靠。增强现实(AR)是一种前景广阔的新技术,有望提高神经外科手术的准确性和有效性。我们介绍了使用 AR 进行 VP 分流手术规划的情况。 一名 62 岁的男性患者有蛛网膜下腔出血病史,并伴有迟发性脑积水。计算机断层扫描证实患者脑室扩张,需要进行右侧 VP 分流术。患者被送入手术室,AR 系统被用于可视化和规划。 在本研究中,我们介绍了在 VP 分流术中使用 AR 的情况。该 AR 系统由微软 HoloLens 2 头戴式显示器和新颖的无标记注册系统组成,用于将患者特定的三维模型注册到患者头部,以可视化目标解剖结构并规划手术方法。AR 系统用于规划手术室内的 VP 分流安置。该系统易于使用,能提供患者解剖结构的可视化,可用于规划最佳路径。我们相信,这有可能提高 VP 分流置管的准确性和效果,但还需要进一步的研究来确定该系统的准确性和优点。
Case report: Use of markerless augmented reality system for ventriculoperitoneal shunt placement
Ventriculoperitoneal (VP) shunt placement is one of the most commonly performed neurosurgical procedures, yet failure rates remain very high. Surface landmarks are typically used to guide VP shunt placement, but they are not reliable in identifying the target anatomy. Augmented reality (AR) is a promising new technology that has the potential to improve the accuracy and effectiveness of neurosurgical procedures. We describe the use of AR for the surgical planning of a VP shunt. A 62-year-old male with a history of subarachnoid hemorrhage presented with delayed hydrocephalus. A computed tomography scan was obtained that confirmed dilated ventricles, requiring a right VP shunt. The patient was brought to the operating room, where the AR system was used for visualization and planning. In this study, we describe the use of AR for VP shunt placement. The AR system consists of a Microsoft HoloLens 2 head-mounted display and a novel markerless registration system, which was used to register patient-specific 3D models onto the patient’s head for visualizing target anatomy and planning an operative approach. The AR system was used to plan the VP shunt placement in the operating room. This system is easy to use and provides a visualization of the patient’s anatomy, which can be used to plan an optimal trajectory. We believe that this has the potential to improve the accuracy and outcomes of VP shunt placements, and further studies are needed to characterize the system’s accuracy and benefits.