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DOI: 10.7937/K9/TCIA.2015.588OZUZB | Data Citation Required | Image Collection

Location Species Subjects Data Types Cancer Types Size Supporting Data Status Updated
Brain Human 130 MR Low & High Grade Glioma 10.59GB Clinical, Genomics, Image Analyses Limited, Complete 2021/08/17


Finding better therapies for the treatment of brain tumors is hampered by the lack of consistently obtained molecular data in a large sample set and the ability to integrate biomedical data from disparate sources enabling translation of therapies from bench to bedside. Hence, a critical factor in the advancement of biomedical research and clinical translation is the ease with which data can be integrated, redistributed, and analyzed both within and across functional domains. Novel biomedical informatics infrastructure and tools are essential for developing individualized patient treatment based on the specific genomic signatures in each patient's tumor. The Repository of Molecular Brain Neoplasia Data (REMBRANDT) is aimed at facilitating discovery by connecting the dots between clinical information and genomic characterization data.

REMBRANDT contains data generated through the Glioma Molecular Diagnostic Initiative from 874 glioma specimens comprising approximately 566 gene expression arrays, 834 copy number arrays, and 13,472 clinical phenotype data points. These data are currently housed in Georgetown University's G-DOC System and are described in a related manuscript .  This image collection was created as a companion data set to augment the larger REMBRANDT project. It contains the pre-surgical magnetic resonance (MR) multi-sequence images from 130 REMBRANDT patients. 

Data Access

Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement to before accessing the data.

Version 2: Updated 2021/08/17

Some rows in the Clinical Data file were found to be misaligned per column headers:

row 39,87,93,104: right shift by one (change within MRI findings or OnStudy Therapy Chemo Agent Name)
row 46,57: right shift by 2 (change within MRI Findings)

these realign CSV with no further adjustments made to content.

Title Data Type Format Access Points Subjects Studies Series Images License
Download requires NBIA Data Retriever
130 174 1,483 110,020 TCIA Restricted
Clinical Data XLS CC BY 3.0
VASARI_MR_featurekey4 PDF CC BY 3.0
VASARI_MRI_features (gmdi-wiki) XLS CC BY 3.0

Additional Resources for this Dataset

The following external resources are also available.  These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection.

Citations & Data Usage Policy

Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:

Data Citation

Scarpace, L., Flanders, A. E., Jain, R., Mikkelsen, T., & Andrews, D. W. (2019). Data From REMBRANDT [Data set]. The Cancer Imaging Archive.

Detailed Description

Clinical and Genomics Data

A clinical data dump was exported from the publicly accessible section of the REMBRANDT Data Portal on 1/16/2014 for convenience to TCIA users. The old data portal has since been retired and all non-image data has been migrated to Georgetown University’s G-DOC System .

G-DOC contains extensive clinical, gene, and expression data of the same cases to research the link between radiological phenotype and tissue genotype. Registration is required. After logging in search for the REMBRANDT study to locate the data. The mapping table they provide within G-DOC is required to match TCIA’s subject identifiers to the G-DOC identifiers.

Radiologist Analyses

In addition, there are imaging feature characterizations provided by neuroradiologists from Thomas Jefferson University (TJU) Hospital. This feature set has become known as “VASARI” and became the starting point for the The Cancer Genome Archive (TCGA) Glioma Phenotype Research Group efforts, which is utilizing data from the TCGA-GBM and TCGA-LGG collections.

Other Publications Using this Data

TCIA maintains a list of publications which leverage our data. If you have a publication you’d like to add please contact TCIA’s Helpdesk.

TCIA Citation

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC.

Previous Versions

Version 1: Updated 2014/09/12

Title Data Type Format Access Points Studies Series Images License
Images DICOM
Download requires NBIA Data Retriever
Clinical Data XLS
VASARI_MR_featurekey4 PDF
VASARI_MRI_features (gmdi-wiki) XLS