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    Overview
    Acronym
    EGD
    Type of information
    Data from other records
    Description

    The Erasmus Glioma Database (EGD) contains structural magnetic resonance imaging (MRI) scans, genetic and histological features (specifying the WHO 2016 subtype), and whole tumour segmentations of patients with glioma. Pre-operative MRI data of 774 patients with glioma (281 female, 492 male, 1 unknown, age range 19–86 years) treated at the Erasmus MC between 2008 and 2018 is available. For all patients a pre-contrast T1-weighted, post-contrast T1-weighted, T2-weighted, and T2-weighted FLAIR scan are available, made on a variety of scanners from four different vendors. All scans are registered to a common atlas and defaced. Genetic and histological data consists of the IDH mutation status (available for 467 patients), 1p/19q co-deletion status (available for 259 patients), and grade (available for 716 patients). The full WHO 2016 subtype is available for 415 patients. Manual segmentations are available for 374 patients and automatically generated segmentations are available for 400 patients. The dataset can be used to relate the visual appearance of the tumor on the scan with the genetic and histological features, and to develop automatic segmentation methods.

    See also: https://github.com/Svdvoort/egd-downloader

    Funding

    1) Dutch Cancer Society (KWF project number EMCR 2015-7859).

    2) This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952103.

    Free keywords
    Imaging
    medical imaging
    magnetic resonance imaging
    brain
    Cancer
    glioma
    segmentation
    Topics
    Unclassified
    Country(ies):
    GEO coverage
    Europe
    Target Population
    Patients
    Age range
    From 19 years to 86 years
    Sex
    Both
    Language(s)
    Dutch
    Personal Identifier
    Other
    Specific Name of Personal Identifier

    Random patient numbers that cannot be mapped to the original patient identifiers anymore.

    Level of aggregation
    Individual
    Terms of data access

    For access to the dataset, an email must be sent to: servicedesk@health-ri.nl. The requestor will then be asked to sign a data usage agreement, and an account will be created. Access requests directly through the XNAT portal will not be considered.

     

    Regulations for data sharing

    License is available as supplementary material to the paper https://doi.org/10.1016/j.dib.2021.107191

    Linkage possible
    No
    Data Owner(s)
    Erasmus Universitair Medisch Centrum Rotterdam
    Contact name
    Stefan Klein
    Contact e-mail
    s.klein@erasmusmc.nl
    Contact info (address)

    Erasmus MC, P.O. Box 2040, 3000CA, Rotterdam

    Updated on 31 March 2023