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A virtual reality-based data analysis for optimizing freehand external ventricular drain insertion

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

This work exploits virtual reality technique to analyse and optimize the preoperative planning of freehand external ventricular drain (EVD) insertion. Based on the three-dimensional (3D) virtual brain models, neurosurgeons can directly observe the anatomical landmarks and complete the simulated EVD insertion. Simulation data is used to optimize preoperative planning parameters to ensure the surgical performance.

Methods

We used the computed tomography (CT) scans to construct the 3D virtual brain models. A group of EVD insertions were simulated by inserting virtual catheters at different entry points. The key parameters including the location of entry point, the catheter orientation, the catheter tip position on lateral ventricles, and the insertion depth were recorded. A data analysis method was then applied to optimize these parameters, resulting in the optimal parameters for the EVD insertion.

Results

When the lateral distance of entry point ranged from 2.5 to 3 cm, the success rate of 204 cases was 97.79%, which was higher than that of the classic method (59.52%). The optimal insertion angle towards the sagittal plane ranged from 10.46° to 12.73°. To prevent penetrating the lateral ventricles, the insertion depth was optimized to be 3.28 to 4.58 cm.

Conclusions

The proposed data analysis method is helpful to optimize the key parameters of the preoperative planning, and provides useful references for neurosurgeons to perform the freehand EVD insertion. The EVD insertion experiments on 3D printing model had a success rate of 93.75%, which verified the effectiveness of the data analysis.

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Acknowledgements

This work was supported by Natural Science Foundation of Fujian Province (Grant No.: 2019I0023), Fujian Medical University (Grant Nos.: J18011 and 2017-xq-1135).

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Authors and Affiliations

  1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, People’s Republic of China

    Zongchao Yi, Bingwei He & Zhen Deng

  2. Department of Neurosurgery, Fujian Provincial Hospital, Fuzhou, People’s Republic of China

    Yuqing Liu, Shengyue Huang & Wenyao Hong

  3. Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou, People’s Republic of China

    Zongchao Yi, Bingwei He, Zhen Deng, Yuqing Liu, Shengyue Huang & Wenyao Hong

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  1. Zongchao Yi
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  2. Bingwei He
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  3. Zhen Deng
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  4. Yuqing Liu
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  5. Shengyue Huang
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Correspondence to Zhen Deng.

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Yi, Z., He, B., Deng, Z. et al. A virtual reality-based data analysis for optimizing freehand external ventricular drain insertion. Int J CARS 16, 269–276 (2021). https://doi.org/10.1007/s11548-020-02277-x

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  • DOI: https://doi.org/10.1007/s11548-020-02277-x

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