Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients
MRI-based radiomic signatures have the potential to serve as biomarkers for PD-RBD. The random forest model, which integrates radiomic signatures with postural instability, and shows improved performance in identifying PD-RBD. This approach offers valuable insights for prognostic evaluation and preventive treatment strategies.
Authors
- Yuguo Wei
- Z. Jane Wang (ORCID: https://orcid.org/0000-0002-3791-0249)
- Yibin Xu (ORCID: https://orcid.org/0000-0002-8261-3286)
- Yong Lian (ORCID: https://orcid.org/0000-0002-5289-5219)
- Linlin Hu
Institutions
- Ningbo University (CN)
- Heze Municipal Hospital (CN)
- Jinhua Central Hospital (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1186/s12880-025-01748-4
- Citations
- 2
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.72