The LUMIERE dataset: longitudinal Glioblastoma MRI with expert RANO evaluation
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2022
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01A - Journal article
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Scientific Data
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Volume
9
Issue / Number
768
Pages / Duration
1-8
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Nature
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Abstract
Publicly available Glioblastoma (GBM) datasets predominantly include pre-operative Magnetic Resonance Imaging (MRI) or contain few follow-up images for each patient. Access to fully longitudinal datasets is critical to advance the refinement of treatment response assessment. We release a single-center longitudinal GBM MRI dataset with expert ratings of selected follow-up studies according to the response assessment in neuro-oncology criteria (RANO). The expert rating includes details about the rationale of the ratings. For a subset of patients, we provide pathology information regarding methylation of the O 6 -methylguanine-DNA methyltransferase (MGMT) promoter status and isocitrate dehydrogenase 1 (IDH1), as well as the overall survival time. The data includes T1-weighted pre- and post-contrast, T2-weighted, and fluid-attenuated inversion recovery (FLAIR) MRI. Segmentations from state-of-the-art automated segmentation tools, as well as radiomic features, complement the data. Possible applications of this dataset are radiomics research, the development and validation of automated segmentation methods, and studies on response assessment. This collection includes MRI data of 91 GBM patients with a total of 638 study dates and 2487 images.
Keywords
Cancer imaging, CNS cancer, Magnetic resonance imaging
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2052-4463
Language
English
Created during FHNW affiliation
No
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Publication status
Published
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Peer review of the complete publication
Open access category
Gold
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Citation
Suter, Y., Knecht, U., Valenzuela, W., Notter, M., Hewer, E., Schucht, P., Wiest, R., & Reyes, M. (2022). The LUMIERE dataset: longitudinal Glioblastoma MRI with expert RANO evaluation. Scientific Data, 9(768), 1–8. https://doi.org/10.1038/s41597-022-01881-7