1Department of Neurosurgery, Lehigh Valley Health Network, Allentown, Pennsylvania; and.
2Department of Neurosurgery, University of South Florida, Tampa, Florida.
Neurosurg Focus. 2024 Jan;56(1):E5. doi: 10.3171/2023.10.FOCUS23637.
OBJECTIVE: Brain arteriovenous malformations (AVMs) present significant challenges in neurosurgery, requiring detailed planning and execution. In this study, the authors aimed to evaluate the efficacy of mixed reality (MxR), a synergistic application of virtual reality (VR) and augmented reality (AR), in the surgical management of AVMs. METHODS: A retrospective review was conducted on 10 patients who underwent AVM resection between 2021 and 2023. Preoperative planning used patient-specific 360° VR models, while intraoperative guidance used AR markers for targeted disconnection of arterial feeders. Data were analyzed for surgical duration, blood loss, and postoperative outcomes, stratified by Spetzler-Martin (SM) and supplemented Spetzler-Martin (Supp-SM) grades. RESULTS: In 10 patients with cerebral AVMs, MxR significantly facilitated the identification of 21 arterial feeders, including challenging deep feeders. MxR-assisted surgeries demonstrated efficient identification and disconnection of arterial feeders, contributing to precise AVM resection. The mean surgical duration was approximately 5 hours 11 minutes, with a mean intraoperative blood loss of 507.5 ml. Statistically significant variations in surgical duration and blood loss were observed based on SM and supplemented Supp-SM grades. Two patients experienced worsened postoperative neurological deficits, underscoring the inherent risks of AVM surgeries. The marked difference in hospital stays between patients with ruptured and those with unruptured AVMs, particularly for SM grade III, highlights the significant impact of rupture status on postoperative recovery. CONCLUSIONS: In this study, the authors delineated a novel paradigm using MxR for the surgical intervention of AVMs. Using 3D VR for preoperative planning and AR for intraoperative guidance, they achieved unparalleled precision and efficiency in targeting deep arterial feeders. While the results are promising, larger studies are needed to further validate this approach.
目的:脑动静脉畸形(AVM)在神经外科中具有显著挑战性,需要详细的规划和执行。在这项研究中,作者旨在评估混合现实(MxR)在 AVM 手术治疗中的疗效,这是虚拟现实(VR)和增强现实(AR)的协同应用。
方法:对 2021 年至 2023 年间进行 AVM 切除术的 10 例患者进行回顾性研究。使用患者特异性 360° VR 模型进行术前规划,而使用 AR 标记物进行动脉供血动脉的靶向分离。根据 Spetzler-Martin(SM)和补充 Spetzler-Martin(Supp-SM)分级对手术时间、失血量和术后结果进行数据分析。
结果:在 10 例脑 AVM 患者中,MxR 显著有助于识别 21 个动脉供血动脉,包括具有挑战性的深部供血动脉。MxR 辅助手术能够有效地识别和分离动脉供血动脉,有助于精确切除 AVM。平均手术时间约为 5 小时 11 分钟,术中平均失血量为 507.5ml。根据 SM 和补充 Supp-SM 分级,手术时间和失血量存在显著的统计学差异。2 例患者术后出现神经功能缺损加重,突出了 AVM 手术的固有风险。破裂和未破裂 AVM 患者的住院时间存在显著差异,尤其是对于 SM 分级 III 患者,这突出了破裂状态对术后恢复的重大影响。
结论:在本研究中,作者提出了一种使用 MxR 对 AVM 进行手术干预的新方法。使用 3D VR 进行术前规划和 AR 进行术中指导,他们在靶向深部动脉供血动脉方面实现了无与伦比的精度和效率。虽然结果很有希望,但需要更大的研究来进一步验证这种方法。
Neurosurg Focus. 2020-10-1
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