Deep Learning-Based Segmentation of Cervical Posterior Longitudinal Ligament Ossification in Computed Tomography Images and Assessment of Spinal Cord Compression: A Two-Center Study.

Journal: World neurosurgery
PMID:

Abstract

OBJECTIVE: This study aims to develop a fully automated, computed tomography (CT)-based deep learning (DL) model to segment ossified lesions of the posterior longitudinal ligament and to measure the thickness of the ossified material and calculate the cervical spinal cord compression factor.

Authors

  • Baiyang Jiang
    Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
  • Jiayang Yan
    Department of Respiratory and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
  • Shaochun Xu
    Department of Radiology, Shanghai Changzheng Hospital, Naval Medical University, No.415 Fengyang Road, Huangpu District, Shanghai, 200003, China.
  • Qianxi Jin
    Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
  • Gang Xiang
    Beihang University School of Automation Science and Electrical Engineering, Beijing, 100191, China.
  • Qingyang Yu
    Key Laboratory of Molecular Biophysics of the Ministry of Education, Hubei Key Laboratory of Bioinformatics and Molecular-imaging, Center of AI Biology, Department of Bioinformatics and Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.
  • Yimin Huang
    ShuKun Technology Co., Ltd, Beichen Century Center, West Beichen Road, Beijing, 100029, China.
  • Chao Zheng
    School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515 People's Republic of China.
  • Xiao Hu
    Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, United States.
  • Li Fan
    Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
  • Yi Xiao
    Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, P. R. China.
  • Xiang Wang
    Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Shiyuan Liu
    Department of Radiology, Changzheng Hospital of the Navy Medical University, Shanghai, China. Electronic address: liushiyuan@smmu.edu.cn.