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.
Authors
- Haisong Chen (ORCID: https://orcid.org/0000-0002-4746-5193)
- Xuemiao Zhao (ORCID: https://orcid.org/0000-0002-9548-2561)
- Yunjun Yang (ORCID: https://orcid.org/0000-0003-2080-2417)
- Hongyan Wang (ORCID: https://orcid.org/0000-0002-7789-4802)
- Mengying Yu (ORCID: https://orcid.org/0000-0002-8255-508X)
- Xu Jian (ORCID: https://orcid.org/0000-0002-2451-2401)
- Jingru Wang (ORCID: https://orcid.org/0009-0006-8683-1121)
- Asta Debora
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1186/s12880-025-02014-3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00