Integration of Volumetric, Iron, and Neuromelanin Magnetic Resonance Imaging Measures Effectively Differentiates Parkinson's Disease from Multiple System Atrophy
Integration of volumetric, susceptibility, and NM measures with machine learning enables accurate differentiation of PD from MSA subtypes, which provides a potential means to differentiate parkinsonism in clinical practice. © 2025 International Parkinson and Movement Disorder Society.
Authors
- Na He (ORCID: https://orcid.org/0000-0002-5312-7510)
- Xinhui Wang (ORCID: https://orcid.org/0000-0001-5792-2506)
- F. H. Yan
- Z. Y. Jin
- Youmin Zhang
- Bin Xiao
- Yu Liu
- Pei Huang
- Ewart Mark Haacke
- Fangtao Liu
- Shengdi Chen
- Yan Li
Institutions
- Shanghai Jiao Tong University (CN)
- Wayne State University (US)
- Ruijin Hospital (CN)
Publication Details
- Journal
- Movement Disorders
- Published
- 2025-12-30
- DOI
- https://doi.org/10.1002/mds.70153
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00