Use of deep learning-based radiomics to differentiate Parkinson's disease patients from normal controls: a study based on [F]FDG PET imaging.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: We proposed a novel deep learning-based radiomics (DLR) model to diagnose Parkinson's disease (PD) based on [F]fluorodeoxyglucose (FDG) PET images.

Authors

  • Xiaoming Sun
    Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China.
  • Jingjie Ge
    PET Center, Huashan Hospital, Fudan University, No 518, East Wuzhong Road, Xuhui District, Shanghai, China.
  • Lanlan Li
    Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Wei Lin
    Department of Geriatric Rehabilitation, Jiangbin Hospital, Nanning, China.
  • Yue Chen
    The College of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Ping Wu
  • Likun Yang
    Department of Neurosurgery, 904 Hospital of PLA, Wuxi, China.
  • Chuantao Zuo
  • Jiehui Jiang
    Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.