Abstract
Purpose
Preoperative planning is of great importance for transforaminal endoscopic techniques applied in percutaneous endoscopic lumbar discectomy. In this study, a modular preoperative planning software for transforaminal endoscopic surgery was developed and demonstrated.
Methods
The path searching method is based on collision detection, and the oriented bounding box was constructed for the anatomical models. Then, image reformatting algorithms were developed for multiplanar reconstruction which provides detailed anatomical information surrounding the virtual planned path. Finally, multithread technique was implemented to realize the steady-state condition of the software.
Results
A preoperative planning software for transforaminal endoscopic surgery (TE-Guider) was developed; seven cases of patients with symptomatic lumbar disc herniations were planned preoperatively using TE-Guider. The distances to the midlines and the direction of the optimal paths were exported, and each result was in line with the empirical value.
Conclusions
TE-Guider provides an efficient and cost-effective way to search the ideal path and entry point for the puncture. However, more clinical cases will be conducted to demonstrate its feasibility and reliability.







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Acknowledgments
This work was supported by National Natural Science Foundation of China (Grant Nos.: 81171429 and 81511130089), Shanghai Pujiang Talent Program (Grant No.: 13PJD018), Foundation of Science and Technology Commission of Shanghai Municipality (Grant No.: 14441901002) and SJTU—KU Leuven Fund.
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The authors declare that they have no conflicts of interest in relation to this article and they respect protection of human and animal rights.
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Xiaojun Chen and Jun Cheng have contributed equally to this work.
Part of this work first appeared on the 29th International Congress on Computer Assisted Radiology and Surgery (CARS2015), Barcelona, Spain.
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Chen, X., Cheng, J., Gu, X. et al. Development of preoperative planning software for transforaminal endoscopic surgery and the guidance for clinical applications. Int J CARS 11, 613–620 (2016). https://doi.org/10.1007/s11548-015-1282-2
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DOI: https://doi.org/10.1007/s11548-015-1282-2