Quantifying the Trajectory of Percutaneous Endoscopic Lumbar Discectomy in 3D Lumbar Models Based on Automated MR Image Segmentation-A Cross-Sectional Study.

Journal: Orthopaedic surgery
Published Date: Jul 31, 2025

Abstract

OBJECTIVE: Creating a 3D lumbar model and planning a personalized puncture trajectory has an advantage in establishing the working channel for percutaneous endoscopic lumbar discectomy (PELD). However, existing 3D lumbar models, which seldom include lumbar nerves and dural sac reconstructions, primarily depend on CT images for preoperative trajectory planning. Therefore, our study aims to further investigate the relationship between different virtual working channels and the 3D lumbar model, which includes automated MR image segmentation of lumbar bone, nerves, and dural sac at the L4/L5 level.

Authors

  • Zhihai Su
    Department of Spinal Surgery, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
  • Yunfei Wang
    Department of Gastroenterology, Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, National Clinical Research Center for Digestive Diseases (Xi 'an) Jiangsu Branch Wuxi, Jiangsu, China.
  • Chengjie Huang
    Department of Spinal Surgery, Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China.
  • Qingqing He
  • Junjie Lu
    Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Hubei Province, Xiangyang, 441021, China.
  • Zheng Liu
    ICSC World Laboratory, Geneva, Switzerland.
  • Yiou Zhang
    Zhongshan Medical College of Sun Yat-sen University, Guangzhou, China.
  • Qiaochu Zhao
    Zhongshan Medical College of Sun Yat-sen University, Guangzhou, China.
  • Yuchen Zhang
    School of Computer Science, Shaanxi Normal University, Xi'an, China.
  • Jianan Cai
    Zhongshan Medical College of Sun Yat-sen University, Guangzhou, China.
  • Shumao Pang
  • Zhen Yuan
    Bioimaging Core, Faculty of Health Sciences, University of Macau, Macau SAR, China.
  • Ziyang Chen
    Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. ziyang.chen@polimi.it.
  • Tao Chen
    School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China.
  • Hai Lu
    School of Information Science and Engineering, Xiamen University, Xiamen 361005, China. luhai@xmu.edu.cn.

Keywords

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