Zhang Jian, Shi Zhongjie, Kang Yin, Wu Bin, Liu Xiyao, Zhu Hongwei
Department of Neurological Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
Gland Surg. 2025 Jul 31;14(7):1318-1335. doi: 10.21037/gs-2025-95. Epub 2025 Jul 28.
BACKGROUND: In recent years, neuroendoscopy has mostly replaced the microscope for transnasal pituitary adenoma (PA) surgery, where identifying cranial base anatomical landmarks is crucial. Although neuronavigation systems are commonly used in endoscopic procedures to offer locational data, traditional ones are costly, complex to operate, and need surgical pauses for two-dimensional (2D) imaging to verify positions. This makes them hard for resource-limited primary hospitals to use. Augmented reality (AR) technology, integrating three-dimensional (3D) imaging with the intraoperative endoscopic view, overcomes these drawbacks and could be a key advance in next-generation surgical navigation. This study aimed to develop and evaluate an endoscopy-AR system for localizing PAs and adjacent critical structures, assessing its practicality and accuracy in anatomical models and clinical cases to determine its efficacy in transnasal neuroendoscopic PA surgery. METHODS: Using 3D-Slicer software, we performed 3D reconstructions of key anatomical structures, including the sphenoid sinus, PA, internal carotid arteries, and optic nerves. The 3D models were integrated into the endoscopic view via a custom-developed personal computer (PC) software module, "Vrendo". After verifying registration accuracy using five 3D-printed skull models, the technology was applied in seven clinical surgeries for transnasal PA removal, with postoperative complications and outcomes recorded. RESULTS: The AR system provided precise localization of the optic nerves, bilateral internal carotid arteries, and tumor before opening the sellar floor, significantly improving intraoperative orientation. The average target registration error (TRE) was 2.23±0.57 mm in the 3D-printed models. CONCLUSIONS: The integration of AR-based 3D imaging with the endoscopic perspective allows for precise localization of deep-seated anatomical structures. This novel approach to intraoperative navigation reduces the need for visual and cognitive transitions between the navigation and endoscope monitors, potentially enhancing surgical safety and efficiency while improving surgeon comfort.
背景:近年来,神经内镜已在很大程度上取代显微镜用于经鼻垂体腺瘤(PA)手术,在此手术中识别颅底解剖标志至关重要。尽管神经导航系统常用于内镜手术以提供位置数据,但传统系统成本高昂、操作复杂,且需要手术暂停以进行二维(2D)成像来核实位置。这使得资源有限的基层医院难以使用。增强现实(AR)技术将三维(3D)成像与术中内镜视野相结合,克服了这些缺点,可能成为下一代手术导航的一项关键进展。本研究旨在开发并评估一种用于定位垂体腺瘤及邻近关键结构的内镜-AR系统,在解剖模型和临床病例中评估其实用性和准确性,以确定其在经鼻神经内镜垂体腺瘤手术中的疗效。 方法:使用3D-Slicer软件,我们对包括蝶窦、垂体腺瘤、颈内动脉和视神经在内的关键解剖结构进行了3D重建。通过定制开发的个人计算机(PC)软件模块“Vrendo”将3D模型整合到内镜视野中。在使用五个3D打印颅骨模型验证配准精度后,该技术应用于七例经鼻垂体腺瘤切除的临床手术,并记录术后并发症和结果。 结果:AR系统在打开鞍底前对视神经、双侧颈内动脉和肿瘤进行了精确的定位,显著改善了术中定位。在3D打印模型中,平均目标配准误差(TRE)为2.23±0.57毫米。 结论:基于AR的3D成像与内镜视角的整合可实现深部解剖结构的精确定位。这种术中导航的新方法减少了在导航和内镜监视器之间进行视觉和认知转换的需求,有可能提高手术安全性和效率,同时提高外科医生的舒适度。
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