Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy.

Journal: EBioMedicine
Published Date: May 27, 2025

Abstract

BACKGROUND: Valid non-invasive biomarkers for Parkinson's disease (PD) and Parkinson-plus syndrome (PPS) are urgently needed. Based on our recent self-supervised vision foundation model the Shift Window UNET TRansformer (Swin UNETR), which uses clinical multi-contrast whole brain MRI, we aimed to develop an efficient and practical model ('SwinClassifier') for the discrimination of PD vs PPS using routine clinical MRI scans.

Authors

  • Xueling Suo
    Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, China.
  • Mengyao Chen
    Henan Engineering Research Center of Industrial Circulating Water Treatment, Henan Joint International Research Laboratory of Environmental Pollution Control Materials, Henan University, Kaifeng 475004, PR China.
  • Li Chen
    Department of Endocrinology and Metabolism, Qilu Hospital, Shandong University, Jinan, China.
  • Chunyan Luo
    Department of Radiology, Institution of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, 610041, Sichuan, China; Department of Neurology, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China.
  • Graham J Kemp
    Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, L9 7AL, UK.
  • Su Lui
    Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China ; Radiology Department of the Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
  • Huaiqiang Sun
    Department of Radiology, the Center for Medical Imaging, West China Hospital of Sichuan University, China.

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