[Dataset] Quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis and healthy controls

  • Cristiana Fiscone (Creator)
  • Leonardo Rundo (Creator)
  • Alessandra Lugaresi (Creator)
  • David neil Manners (Creator)
  • Kieren Allinson (Creator)
  • Elisa Baldin (Creator)
  • Gianfranco Vornetti (Creator)
  • Raffaele Lodi (Creator)
  • Caterina Tonon (Creator)
  • Claudia Testa (Creator)
  • Mauro Castelli (Creator)
  • Fulvio Zaccagna (Creator)

Dataset

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.

Fiscone Cristiana, Rundo Leonardo, Lugaresi Alessandra, Manners David Neil, Allinson Kieren, Baldin Elisa, Vornetti Gianfranco, Lodi Raffaele, Tonon Caterina, Testa Claudia, Castelli Mauro, & Zaccagna Fulvio. (2023). Quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis and healthy controls [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8271881
Date made available30 Aug 2023
PublisherZenodo

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