Predicting mild cognitive impairment in patients with Parkinson’s disease by integrating striatal MRI radiomics with clinical features

Integration of striatal radiomics features derived from structural MRI images with routine clinical factors demonstrates promising predictive performance for PD-MCI. The proposed clinical-radiomics combined model leverages clinically accessible resources, and its predictive value for PD-MCI establishes a preliminary foundation for subsequent related explorations. However, the model's generalizability remains unconfirmed, further validation on independent datasets is required before any consideration of its clinical application.