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The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation

Authors :
Yannick Suter
Urspeter Knecht
Waldo Valenzuela
Michelle Notter
Ekkehard Hewer
Philippe Schucht
Roland Wiest
Mauricio Reyes
Source :
Scientific Data, Vol 9, Iss 1, Pp 1-8 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

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 O6-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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.039be9f77b0143cd9c6e4a85f21d838d
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-022-01881-7