Summary
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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.
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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 consists of 130 cases of MR larger REMBRANDT project. It contains the pre-surgical magnetic resonance (MR) multi-sequence images of pre-surgical brain tumor patients including cases of glioblastoma, astrocytomas and oligodendrogliomas from the REMBRANDT patient population.
For scientific inquiries about the VASARI feature set or corresponding analysis please contact Adam Flanders at adam.flanders@jefferson.edu.
Data Access
Imaging Data
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You can view and download these images on The Cancer Imaging Archive by logging in to TCIA and selecting the REMBRANDT collection. |
from 130 REMBRANDT patients.
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| title | Data Access |
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| Data Access
| Data Type | Download all or Query/Filter |
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| Images (DICOM, 9.9GB) | | Tcia button generator |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/3539229/TCIA_REMBRANDT_06-22-2015.tcia?version=1&modificationDate=1534787409774&api=v2 |
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| label | Search |
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| url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=REMBRANDT |
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Download requires the NBIA Data Retriever. | | Molecular/Clinical Data in G-DOC | | Tcia button generator |
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| label | Search |
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| url | https://gdoc.georgetown.edu/ |
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| | Clinical Data (XLS) | | Tcia button generator |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/3539229/clinical_2014-01-16.xlsx?version=2&modificationDate=1629237658680&api=v2 |
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| | VASARI_MR_featurekey4 (pdf) | | Tcia button generator |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/3539229/VASARI_MR_featurekey4.pdf?version=1&modificationDate=1319831391198&api=v2 |
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| | VASARI_MRI_features (gmdi-wiki) (XLS) | | Tcia button generator |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/3539229/VASARI_MRI_features%20%28gmdi%20-%20wiki%29.xls?version=2&modificationDate=1366145660931&api=v2 |
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Click the Versions tab for more info about data releases. |
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| title | Detailed Description |
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| Detailed Description
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Collection Statistics
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Participants | 130 | Number of Studies | 174 | Number of Series | 1,483 | Number of Images | 110,020 |
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If you are unsure how to download this Collection please view our quick guide on Searching by Collection or refer to our The Cancer Imaging Archive User's Guide for more detailed instructions on using the site.
Metadata
Clinical and Genomics DataA 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, |
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and expression data of the same |
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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. |
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The mapping table they provide within G-DOC is required to match TCIA's subject identifiers to the G-DOC identifiers. Radiologist AnalysesIn addition, there are imaging feature characterizations provided by neuroradiologists from Thomas Jefferson University (TJU) Hospital. This feature set has become known as "VASARI" and |
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became the starting point for |
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efforts, which is utilizing data from |
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| title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy | Public collection license |
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| Info |
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| 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. Journal of Digital Imaging, 26(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage our data. If you have a publication you'd like to add please contact the TCIA Helpdesk. |
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| Version 2(Current) 2021/08/17Some 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. Version 1 : Updated 2014/09/12
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