Quantitative assessment of Nigrosome-1 volume and susceptibility in Parkinson’s Disease
Motivation: Parkinson's disease diagnosis, in early stages, still strongly relies on qualitative clinical evaluation, rather than quantitative data, often resulting in misdiagnosis. Goal(s): The goal was to identify PD patients when Nigrosome-1 is still visible on MRI imaging Approach: We extracted quantitative structural data of Nigrosome-1 and trained a Machine Learning model to perform a classification task Results: Quantitative features, Volume of Nigrosome-1 in particular, proved to be a good feature to differentiate PD from HC, performing 0.87 accuracy, and 0.94 AUC-ROC Impact: These results support the need to integrate visual assessment of N1 with a quantitative assessment of its structure and susceptibility properties to better characterize PD pathology
Authors
- Andrea Quattrone (ORCID: https://orcid.org/0000-0003-2071-2083)
- Jolanda Buonocore (ORCID: https://orcid.org/0000-0002-3813-283X)
- Aldo Quattrone (ORCID: https://orcid.org/0000-0003-2001-957X)
- Federica Aracri (ORCID: https://orcid.org/0009-0003-2311-1862)
- Maria Eugenia Caligiuri (ORCID: https://orcid.org/0000-0002-2030-5552)
- Marida De Maria (ORCID: https://orcid.org/0009-0001-1339-0373)
- Umberto Sabatini (ORCID: https://orcid.org/0000-0001-5321-8626)
- Ilaria Chimento
- Maria Celeste Bonacci
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/4709
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00