Assessment of image quality and diagnostic accuracy for cervical spondylosis using T2w-STIR sequence with a deep learning-based reconstruction approach.

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
PMID: 39007984

Abstract

OBJECTIVES: To investigate potential of enhancing image quality, maintaining interobserver consensus, and elevating disease diagnostic efficacy through the implementation of deep learning-based reconstruction (DLR) processing in 3.0 T cervical spine fast magnetic resonance imaging (MRI) images, compared with conventional images.

Authors

  • Qiuying Tao
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Kaiyu Wang
    MR Research China, GE Healthcare, Beijing, 100000, PR China (K.W.).
  • Baohong Wen
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Yimeng Kang
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Jinghan Dang
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Jieping Sun
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Xiaoyu Niu
    Department of Gynecology and Obstetrics, West China Second Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. Electronic address: niuxy@scu.edu.cn.
  • Mengzhe Zhang
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Zijun Liu
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Weijian Wang
    Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshe Dong Road, ErQi District, Zhengzhou, Henan, China.
  • Yong Zhang
    Outpatient Department of Hepatitis, The Sixth Affiliated People's Hospital of Dalian Medical University, Dalian, Liaoning, China.
  • Jingliang Cheng
    Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

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