Assessment of T2-weighted MRI-derived synthetic CT for the detection of suspected lumbar facet arthritis: a comparative analysis with conventional CT.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Published Date: Jul 8, 2025

Abstract

PURPOSE: We evaluated sCT generated from T2-weighted imaging (T2WI) using deep learning techniques to detect structural lesions in lumbar facet arthritis, with conventional CT as the reference standard.

Authors

  • Gan Cao
    Department of Radiology, Longgang Central Hospital of Shenzhen, Shenzhen, China.
  • Haiqiao Wang
    Smart Medical Imaging, Learning and Engineering (SMILE) Lab, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China.
  • Shanghuang Xie
    Department of Radiology, Longgang Central Hospital of Shenzhen, Shenzhen, China.
  • Die Cai
    Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
  • Jiandong Guo
    Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, China.
  • Jichao Zhu
    Department of Radiology, Longgang Central Hospital of Shenzhen, Shenzhen, 518116, China.
  • Keliang Ye
    Fuyong People's Hospital, Shenzhen, China.
  • Yi Wang
    Department of Neurology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Jun Xia
    Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China. xiajun2003sz@aliyun.com.

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