Published August 30, 2023
| Version v1
Dataset
Open
Quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis and healthy controls
Authors/Creators
- 1. Department of Biomedical and Neuromotor Sciences, University of Bologna, IT
- 2. Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, IT
- 3. Department of Biomedical and Neuromotor Sciences, University of Bologna, IT & IRCCS Istituto delle Scienze Neurologiche di Bologna, UOSI Riabilitazione Sclerosi Multipla, IT
- 4. Department for Life Quality Sciences, University of Bologna, IT & IRCCS, Istituto delle Scienze Neurologiche di Bologna, Functional and Molecular Neuroimaging Unit, IT
- 5. Department of Histopathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical campus, UK
- 6. IRCCS Istituto delle Scienze Neurologiche di Bologna, Epidemiology and Statistics Unit, IT
- 7. Department of Biomedical and Neuromotor Sciences, University of Bologna, IT & IRCCS, Istituto delle Scienze Neurologiche di Bologna, Functional and Molecular Neuroimaging Unit, IT
- 8. IRCCS, Istituto delle Scienze Neurologiche di Bologna, Functional and Molecular Neuroimaging Unit, IT & Department of Physics and Astronomy, University of Bologna, IT
- 9. NOVA Information Management School, Universidade NOVA de Lisboa, PT
- 10. Department of Imaging, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, UK & Department of Radiology, University of Cambridge, UK & Investigative Medicine Division, Radcliffe Department of Medicine, University of Oxford, UK
Description
This dataset provides access to radiomic features of brain MR susceptibility-based images (QSM). Specifically, a cohort of 151 subjects, mixed of patients with multiple sclerosis (121) and healthy controls (30) was analysed, studying the Normal Appearing White Matter (NAWM) and NAWM tracts (e.g. corticospinal tract and optic radiation). Robustness analysis of those imaging descriptors can be found in Fiscone et al., Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis.
In the .zip folder, instructions about the organization of the dataset can be found. Together with the data, the code used to assess the reliability of those features is available.