Predicting Parkinson's disease and its progression based on radiomics in T1-weight images and α‑synuclein in cerebrospinal fluid.

ABSTRACT: This study aimed to develop a radiomics model that can predict Parkinson's disease (PD) and its progression of using T1-weighted images (T1WI), and to evaluate the prediction performance of a multimodal model incorporating clinical factors. We selected all participants from the Parkinson's Progression Markers Initiative (PPMI) (n = 205) database and Qilu Hospital of Shandong University (Qingdao) (n = 60). The patients were tracked over 4-5 years via Hoehn-Yahr Scale (HYS) and categorized into stable PD (SPD: HYS unchanged) and progression PD (PPD: HYS increase). Participants from the PPMI database were randomly divided into a training dataset and an internal testing dataset to construct radiomics models, which were validated by the Qilu Hospital database as an independent testing dataset.

SUBMITTER: Zhang X 

PROVIDER: S-EPMC12462465 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature