Prediction of cognitive decline in Parkinson's disease based on MRI radiomics and clinical features: A multicenter study.

ABSTRACT:

Objective

To develop and validate a multimodal combinatorial model based on whole-brain magnetic resonance imaging (MRI) radiomic features for predicting cognitive decline in patients with Parkinson's disease (PD).

Methods

This study included a total of 222 PD patients with normal baseline cognition, of whom 68 had cognitive impairment during a 4-year follow-up period. All patients underwent MRI scans, and radiomic features were extracted from the whole-brain MRI images of the training set, and dimensionality reduction was performed to construct a radiomics model. Subsequently, Screening predictive factors for cognitive decline from clinical features and then combining those with a radiomics model to construct a multimodal combinatorial model for predicting cognitive decline

SUBMITTER: Jian Y 

PROVIDER: S-EPMC11196371 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature