J Neurol Surg B Skull Base 2017; 78(05): 385-392
DOI: 10.1055/s-0037-1602791
Original Article
Georg Thieme Verlag KG Stuttgart · New York

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

Jian-Hua Zhu
1   Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Haidian District, Beijing, People's Republic of China
,
Jing Wang
1   Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Haidian District, Beijing, People's Republic of China
,
Yong-Gui Wang
2   Intelligent Robotics Institute, Beijing Institute of Technology, Haidian District, Beijing, People's Republic of China
,
Meng Li
2   Intelligent Robotics Institute, Beijing Institute of Technology, Haidian District, Beijing, People's Republic of China
,
Yu-Xing Guo
1   Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Haidian District, Beijing, People's Republic of China
,
Xiao-Jing Liu
1   Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Haidian District, Beijing, People's Republic of China
,
Chuan-Bin Guo
1   Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Haidian District, Beijing, People's Republic of China
› Author Affiliations
Further Information

Publication History

27 October 2016

21 March 2017

Publication Date:
03 May 2017 (online)

Abstract

Objectives 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.

Design An accuracy study was conducted.

Setting Platform for navigation and robot-aided surgery technology.

Participants Phantom skull.

Main Outcome Measures 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.

Results 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) (p < 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.

Conclusions The experimental results show the robot system is efficient, reliable, and safe. The navigation accuracy is a significant factor in robotic procedures.

Note

Prof. Chuan-Bin Guo and Dr. Xiao-Jing Liu contributed equally to the article.


 
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