The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation.
Details
Serval ID
serval:BIB_CE0C6F84E147
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation.
Journal
Scientific data
ISSN
2052-4463 (Electronic)
ISSN-L
2052-4463
Publication state
Published
Issued date
15/12/2022
Peer-reviewed
Oui
Volume
9
Number
1
Pages
768
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Publication Status: epublish
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 <sup>6</sup> -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
Humans, Glioblastoma/diagnostic imaging, Glioblastoma/genetics, Glioblastoma/pathology, Brain Neoplasms/diagnostic imaging, Brain Neoplasms/genetics, Brain Neoplasms/pathology, Retrospective Studies, Magnetic Resonance Imaging/methods, Promoter Regions, Genetic
Pubmed
Web of science
Open Access
Yes
Create date
16/12/2022 15:21
Last modification date
09/03/2023 7:49