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author:

Lin, Wei (Lin, Wei.) [1] | Zhu, Zhaoju (Zhu, Zhaoju.) [2] | He, Bingwei (He, Bingwei.) [3] | Liu, Yuqing (Liu, Yuqing.) [4] | Hong, Wenyao (Hong, Wenyao.) [5] | Liao, Zhengjian (Liao, Zhengjian.) [6]

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EI

Abstract:

The lateral ventricle puncture is an important step of external ventricular drain. It is one of the most basic but challenging skills that must be mastered by physicians. For improving the lateral ventricle puncture skill, a novel virtual reality simulation training system equipped with haptic feedback was developed in this paper. A series of experiments and questionnaires were conducted to evaluate the fidelity of simulated haptic force and the effectiveness of this system. Both the forces generated by the haptic device during the virtual puncture and that generated during puncturing on a pig brain were obtained and compared. The results indicate that these two forces have the similar varying tendency under different puncturing conditions. In addition, two groups of neurosurgical interns named A (trained without this system) and B (trained with this system) were selected to verify the effectiveness of this system. The operation metrics, including operative dictation, operation time, positioning of Kocher’s point, times of repeated punctures, and the punctured position on lateral ventricle, were assessed by the chief physician for both groups. The results show that group B achieved higher scores than group A in all operation metrics except only operative dictation (P = 0.001). This indicates that the proposed virtual training system is an effective aid in training neurosurgery physicians’ lateral ventricle puncture skill. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

Keyword:

E-learning Mammals Neurosurgery Surveys Virtual reality

Community:

  • [ 1 ] [Lin, Wei]School of Mechanical Engineering and Automation, Fuzhou University, No.2 Xueyuan Road, University New District, Fujian Province, Fuzhou District, China
  • [ 2 ] [Lin, Wei]Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou, China
  • [ 3 ] [Zhu, Zhaoju]School of Mechanical Engineering and Automation, Fuzhou University, No.2 Xueyuan Road, University New District, Fujian Province, Fuzhou District, China
  • [ 4 ] [Zhu, Zhaoju]Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • [ 5 ] [Zhu, Zhaoju]Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou, China
  • [ 6 ] [He, Bingwei]School of Mechanical Engineering and Automation, Fuzhou University, No.2 Xueyuan Road, University New District, Fujian Province, Fuzhou District, China
  • [ 7 ] [He, Bingwei]Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou, China
  • [ 8 ] [Liu, Yuqing]Department of Neurosurgery, Fujian Provincial Hospital, Fuzhou, China
  • [ 9 ] [Liu, Yuqing]Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou, China
  • [ 10 ] [Hong, Wenyao]Department of Neurosurgery, Fujian Provincial Hospital, Fuzhou, China
  • [ 11 ] [Hong, Wenyao]Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou, China
  • [ 12 ] [Liao, Zhengjian]Department of Neurosurgery, Fujian Provincial Hospital, Fuzhou, China
  • [ 13 ] [Liao, Zhengjian]Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou, China

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Source :

Virtual Reality

ISSN: 1359-4338

Year: 2022

Issue: 1

Volume: 26

Page: 399-411

4 . 2

JCR@2022

4 . 4 0 0

JCR@2023

ESI HC Threshold:61

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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