A novel deep learning system for automated diagnosis and grading of lumbar spinal stenosis based on spine MRI: model development and validation.

Journal: Neurosurgical focus
Published Date: Jul 1, 2025

Abstract

OBJECTIVE: The study aimed to develop a single-stage deep learning (DL) screening system for automated binary and multiclass grading of lumbar central stenosis (LCS), lateral recess stenosis (LRS), and lumbar foraminal stenosis (LFS).

Authors

  • Tianyi Wang
    College of Physical Education, Qiqihar University, Qiqihar 161000, China.
  • Aobo Wang
    Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, 5 JingYuan Road, Shijingshan District, Beijing, 100043, China.
  • Yiling Zhang
    Department of Otolaryngology Head and Neck Surgery，the Second Xiangya Hospital，Central South University，Changsha，410011，China.
  • Xingyu Liu
    First People's Hospital of Zunyi City, Zunyi, China.
  • Ning Fan
    Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, 5 JingYuan Road, Shijingshan District, Beijing, 100043, China.
  • Shuo Yuan
  • Peng Du
    Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
  • Qichao Wu
    Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
  • Ruiyuan Chen
    Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
  • Yu Xi
    Department of endocrinology, Huangshan city People's Hospital, Huangshan 245000, China.
  • Zhao Gu
    Longwood Valley Medical Technology Co. Ltd, Beijing, China.
  • Qi Fei
    Department of Orthopedics, Beijing Friendship Hospital, Capital Medical University, No 95, Yong'an Road, Xicheng District, Beijing, 100050, China.
  • Lei Zang
    Department of Orthopedics, Beijing Chaoyang Hospital, Capital Medical University, 5 JingYuan Road, Shijingshan District, Beijing, 100043, China. zanglei@ccmu.edu.cn.

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