Deep learning for diagnosing osteonecrosis of the femoral head based on magnetic resonance imaging.

Journal: Computer methods and programs in biomedicine
PMID: 34153870

Abstract

BACKGROUND AND OBJECTIVE: Early-stage osteonecrosis of the femoral head (ONFH) can be difficult to detect because of a lack of symptoms. Magnetic resonance imaging (MRI) is sufficiently sensitive to detect ONFH; however, the diagnosis of ONFH requires experience and is time consuming. We developed a fully automatic deep learning model for detecting early-stage ONFH lesions on MRI.

Authors

  • Peixu Wang
    Department of Orthopedics, China-Japan Friendship Hospital, China-Japan Friendship Institute of Clinical Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Graduate School of Peking Union Medical College, Beijing 100029, China; Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China. Electronic address: formula1wpx1996@outlook.com.
  • Xingyu Liu
    First People's Hospital of Zunyi City, Zunyi, China.
  • Jia Xu
    Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University (Nanjing Tech), 30 South Puzhu Road, Nanjing, 211816, P.R. China.
  • Tengqi Li
    Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China; China-Japan Friendship Hospital, Peking University, Beijing 100029, China.
  • Wei Sun
    Sutra Medical Inc, Lake Forest, CA.
  • Zirong Li
    Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China.
  • Fuqiang Gao
    LC Campbell Cognitive Neurology Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada.
  • Lijun Shi
    Department of Orthopedics, China-Japan Friendship Hospital, China-Japan Friendship Institute of Clinical Medicine, Chinese Academy of Medical Sciences, Peking Union Medical College, Graduate School of Peking Union Medical College, Beijing 100029, China; Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China.
  • Zhizhuo Li
    Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China; China-Japan Friendship Hospital, Peking University, Beijing 100029, China.
  • Xinjie Wu
    Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China; China-Japan Friendship Hospital, Peking University, Beijing 100029, China.
  • Xin Xu
    State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, China.
  • Xiaoyu Fan
    Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China; China-Japan Friendship Hospital, Peking University, Beijing 100029, China.
  • Chengxin Li
    Department of Orthopedics, Beijing Key Laboratory for Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Peking Union Medical College, Beijing 100029, China; China-Japan Friendship Hospital, Peking University, Beijing 100029, China.
  • Yiling Zhang
    Department of Otolaryngology Head and Neck Surgery，the Second Xiangya Hospital，Central South University，Changsha，410011，China.
  • Yicheng An
    Longwood Valley Medical Technology Co. Ltd, China.

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