神经导航
医学
神经外科
立体定向
结构光
外科
医学物理学
人工智能
计算机视觉
计算机科学
切除术
触觉技术
作者
Du Cai,Xiu Wang,Wenhan Hu,Jiajie Mo,Huanguang Liu,Xiaoyan Li,Xuelian Zheng,Xuanfeng Ding,Juan An,Yuhui Hua,Jianguo Zhang,Kai Zhang,Chao Zhang
出处
期刊:Operative Neurosurgery
[Oxford University Press]
日期:2024-04-30
标识
DOI:10.1227/ons.0000000000001184
摘要
BACKGROUND AND OBJECTIVES: Surface-based facial scanning registration emerged as an essential registration method in the robot-assisted neuronavigation surgery, providing a marker-free way to align a patient’s facial surface with the imaging data. The 3-dimensional (3D) structured light was developed as an advanced registration method based on surface-based facial scanning registration. We aspire to introduce the 3D structured light as a new registration method in the procedure of the robot-assisted neurosurgery and assess the accuracy, efficiency, and safety of this method by analyzing the relative operative results. METHODS: We analyzed the results of 47 patients who underwent Ommaya reservoir implantation (n = 17) and stereotactic biopsy (n = 30) assisted by 3D structured light at our hospital from January 2022 to May 2023. The accuracy and additional operative results were analyzed. RESULTS: For the Ommaya reservoir implantation, the target point error was 3.2 ± 2.2 mm and the entry point error was 3.3 ± 2.4 mm, while the operation duration was 35.8 ± 8.3 minutes. For the stereotactic biopsy, the target point error was 2.3 ± 1.3 mm and the entry point error was 2.7 ± 1.2 mm, while the operation duration was 24.5 ± 6.3 minutes. CONCLUSION: The 3D structured light technique reduces the patients’ discomfort and offers the advantage of a simpler procedure, which can improve the clinical efficiency with the sufficient accuracy and safety to meet the clinical requirements of the puncture and navigation.
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