|
|
Application of robotic-assisted endoscopic third ventriculostomy |
Peng Zhao1, Yinyan Wang1, Jiwei Bai1, Bin Li1, Chuzhong Li2, Songbai Gui1, Xinsheng Wang1, Xuyi Zong1, Yazhuo Zhang1,2,3* |
1.Neurosurgical Department, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China
2.Key Laboratory of Central Nervous System Injury Research, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100050, China
3.Beijing Neurosurgical Institute, Center of Brain Tumor, Beijing Institute for Brain Disorders, Capital Medical University, Beijing 100050, China |
|
|
Abstract Objective: This case series study explored the application of ROSA (robot of stereotactic assistant) robotic-assisted endoscopic third ventriculostomy (ETV) in the treatment of hydrocephalus. Methods: Three patients (January 2016 - October 2017) diagnosed with hydrocephalus based on preoperative computed tomograph (CT) and magnetic resonance imaging (MRI) scans were recruited. Navigation planning scan was performed before operation. ROSA robot localization program was used to simulate and analyze the path planning of hydrocephalus ETV and store it in the system. All the three patients underwent robotic-assisted ETV. The patients’ clinical symptoms, imaging manifestations and related complications were evaluated, and a 3-month follow-up survey was conducted. Prognostic factors were also analyzed. Results: ETV under the guidance of ROSA robot was successfully performed on the three patients. CT, MRI and cerebrospinal fluid (CSF) cine showed that the ventricles were narrowed, that the velocity and flow of the stoma were normal, and that the CSF flow was smooth. After discharge, the symptoms of hydrocephalus were significantly improved. Localization of the robot and design of the surgical path were key to success of the operation. Conclusions: ROSA robotic-assisted ETV is a feasible procedure. The patients recovered well, and the symptoms relieved. More efforts are needed to optimize artificial intelligence and the application of precision treatment in the nervous system.
|
Keywords
robot
hydrocephalus
neuroendoscope
third ventriculostomy
artificial intelligence (AI)
|
Issue Date: 01 September 2018
|
|
Cite this article: |
Peng Zhao, Yinyan Wang, Jiwei Bai, Bin Li, Chuzhong Li, Songbai Gui, Xinsheng Wang, Xuyi Zong, Yazhuo Zhang. Application of robotic-assisted endoscopic third ventriculostomy[J]. Journal of Translational Neuroscience,2018, 3(1): 32-36.
|
|
|
|
URL: |
https://academic.hep.com.cn/jtn/EN/10.3868/j.issn.2096-0689.2018.01.005
https://academic.hep.com.cn/jtn/EN/Y2018/V3/I1/32
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|