Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson's disease patients.

Journal: BMC medical imaging
Published Date: Jul 1, 2025

Abstract

BACKGROUND: Traditional clinical diagnostic methods of rapid eye movement sleep behavior disorder (RBD) have certain limitations, especially in the early stages. This study aims to develop and validate an magnetic resonance imaging (MRI) radiomics-based machine learning classifier to accurately detect RBD patients with Parkinson's disease (PD).

Authors

  • Yandong Lian
    Department of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang Province, China.
  • Yibin Xu
    Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan.
  • Linlin Hu
    School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. hulinlin@sph.pumc.edu.cn.
  • Yuguo Wei
    Precision Health Institution, GE Healthcare, Xihu District, Hangzhou, China.
  • Zhaoge Wang
    Department of Magnetic Resonance, Heze Municipal Hospital, Heze, Shandong, China. 11035070@qq.com.

Keywords

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