Differentiation of tuberculous and brucellar spondylitis using conventional MRI-based deep learning algorithms.

Journal: European journal of radiology
PMID:

Abstract

PURPOSE: To investigate the feasibility of deep learning (DL) based on conventional MRI to differentiate tuberculous spondylitis (TS) from brucellar spondylitis (BS).

Authors

  • Jinming Chen
    Department of Radiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong, China.
  • Xiaowen Guo
    Department of Radiology, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China.
  • Xiaoming Liu
    College of Agriculture, Northeast Agricultural University, Harbin, China.
  • Yurui Sheng
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
  • Fuyan Li
    Department of Radiology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.
  • Hongxia Li
    Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, People's Republic of China.
  • Yi Cui
    Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education (GI-CoRE), Proton Beam Therapy Center, North 14 West 5 Kita-ku, Sapporo, Hokkaido, 060-8648, Japan.
  • Huaizhen Wang
    Department of Radiology, The First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
  • Lingzhen Wei
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China; School of Clinical Medicine, Jining Medical University, Jining, Shandong, China.
  • Meilin Li
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
  • Jiahao Liu
    School of Artificial Intelligence, Hebei University of Technology, Tianjin, 300130, China.
  • Qingshi Zeng
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.