Individualized diagnosis of Parkinson’s disease based on multivariate magnetic resonance imaging radiomics and clinical indexes

Individualized diagnosis of Parkinson’s disease based on multivariate magnetic resonance imaging radiomics and clinical indexes

ObjectiveTo explore MRI-based radiomics models, integrating clinical characteristics, for differential diagnosis of Parkinson’s disease (PD) to evaluate their diagnostic performance.MethodsA total of 256 participants [153 PD, 103 healthy controls (HCs)] from the First Affiliated Hospital of Wenzhou...

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Bibliographic Details
Main Authors: Qianqian Ye, Chenhui Lin, Fangyi Xiao, Tao Jiang, Jialong Hou, Yi Zheng, Jiaxue Xu, Jiani Huang, Keke Chen, Jinlai Cai, Jingjing Qian, Weiwei Quan, Yanyan Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Aging Neuroscience
Subjects:
Parkinson’s disease
MRI radiomics
T1-weighted imaging
T2-FLair
machine learning
clinical-radiomics model
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2025.1504733/full
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https://www.frontiersin.org/articles/10.3389/fnagi.2025.1504733/full

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