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机器人辅助颅底活检的性能:一项模型研究。

Performance of Robotic Assistance for Skull Base Biopsy: A Phantom Study.

作者信息

Zhu Jian-Hua, Wang Jing, Wang Yong-Gui, Li Meng, Guo Yu-Xing, Liu Xiao-Jing, Guo Chuan-Bin

机构信息

Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Haidian District, Beijing, People's Republic of China.

Intelligent Robotics Institute, Beijing Institute of Technology, Haidian District, Beijing, People's Republic of China.

出版信息

J Neurol Surg B Skull Base. 2017 Oct;78(5):385-392. doi: 10.1055/s-0037-1602791. Epub 2017 May 3.

Abstract

This study aims to evaluate the feasibility of a custom robot system guided by optical cone beam computed tomography (CBCT)-based navigation for skull base biopsy.  An accuracy study was conducted.  Platform for navigation and robot-aided surgery technology.  Phantom skull.  The primary outcome measure was to investigate the accuracy of robot-assisted needle biopsy for skull base tumors. A 14-gauge needle was automatically inserted by the five degrees of freedom robot into the intended target, guided by optical navigation. The result was displayed on the graphical user interface after matrix transformation. Postoperative image scanning was performed, and the result was verified with image fusion.  All 20 interventions were successfully performed. The mean deviation of the needle tip was 0.56 ± 0.22 mm (measured by the navigation system) versus 1.73 ± 0.60 mm (measured by image fusion) (  < 0.05). The mean insertion depth was 52.3 mm (range: 49.7-55.2 mm). The mean angular deviations off the x-axis, y-axis, and z-axis were 1.51 ± 0.67, 2.33 ± 1.65, and 1.47 ± 1.16 degrees, respectively.  The experimental results show the robot system is efficient, reliable, and safe. The navigation accuracy is a significant factor in robotic procedures.

摘要

本研究旨在评估基于光学锥束计算机断层扫描(CBCT)导航的定制机器人系统用于颅底活检的可行性。进行了一项准确性研究。导航与机器人辅助手术技术平台。仿真颅骨。主要结局指标是研究机器人辅助针吸活检对颅底肿瘤的准确性。在光学导航的引导下,由五自由度机器人将一根14号针自动插入预定目标。矩阵变换后,结果显示在图形用户界面上。术后进行图像扫描,并通过图像融合验证结果。所有20次干预均成功完成。针尖的平均偏差为0.56±0.22毫米(由导航系统测量),而通过图像融合测量为1.73±0.60毫米(P<0.05)。平均插入深度为52.3毫米(范围:49.7 - 55.2毫米)。x轴、y轴和z轴的平均角度偏差分别为1.51±0.67、2.33±1.65和1.47±1.16度。实验结果表明该机器人系统高效、可靠且安全。导航准确性是机器人手术过程中的一个重要因素。

相似文献

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Performance of Robotic Assistance for Skull Base Biopsy: A Phantom Study.机器人辅助颅底活检的性能:一项模型研究。
J Neurol Surg B Skull Base. 2017 Oct;78(5):385-392. doi: 10.1055/s-0037-1602791. Epub 2017 May 3.
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