The Cancer Imaging Archive (TCIA) Public Access

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Per TCGA and TCIA Guidelines there are no outstanding limitations from the freedom-to-publish criteria for the TCGA-GBM data sets:

Data Source

Status

TCGA Data Portal Publication Guidelines

No restrictions; all data available without limitations

TCIA Data Usage Policies and Restrictions

No restrictions; image data available without limitations

We are currently hosting open t-cons for discussion of TCGA glioma based research projects (TCGA-GBM) on Wednesdays at 3pm Eastern. Please contact us at cancerimagingarchive@mail.nih.gov if you would like to join the calls or our mailing list to be otherwise kept in the loop on these topics.

TCGA-GBM Marker Paper and Image Source Sites (ISS)

Imaging Source Site (ISS) Groups are populated and governed by participants from institutions that have provided imaging data to the archive for a given cancer type. Modeled after TCGA analysis groups, these groups are given the opportunity to publish a marker paper for a given cancer type per the aforementioned publication policy. The TCGA Glioma Phenotype Research Group's formation pre-dated current TCIA policies on TCGA related publications and therefore there is no ISS marker paper for TCGA-GBM imaging data. However several publications and numerous conference presentations utilizing this data have been generated by the research group, which are outlined below in the References section. Current TCGA-GBM source sites include:

  • Thomas Jefferson University
  • Henry Ford Hospital
  • University of California, San Francisco
  • MD Anderson Cancer Center
  • Emory University
  • Mayo Clinic
  • CWRU School of Medicine
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Upcoming Events

  • 5/22 - SNO Abstract deadline
  • 5/29 - ASNR de-brief
  • 6/5 - Arvind Rao to present on his clustering project and Rivka Colen to discuss ASNR's new Imaging Genomics Study Group.
  • 6/12 - Camille Kurtz to present Semantic annotations for CBIR: application to liver lesions and CT images (20 or 25 minutes).

References

The following links contain publications from the main TCGA project, as well as their posted publication guidelines.

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Citation

TCIA Shared Lists (Help Using Shared Lists)

Supporting Materials

MR Imaging Predictors of Molecular Profile and Survival: Multi-institutional Study of the TCGA Glioblastoma Data Set.
Gutman DA, Cooper LA, Hwang SN, Holder CA, Gao J, Aurora TD, Dunn WD Jr, Scarpace L, Mikkelsen T, Jain R, Wintermark M, Jilwan M, Raghavan P, Huang E, Clifford RJ, Mongkolwat P, Kleper V, Freymann J, Kirby J, Zinn PO, Moreno C, Jaffe C, Colen R, Rubin DL, Saltz J, Flanders A, Brat DJ.
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="3095ebf019cb1f24-097e9c01-400f460b-92499915-56e3774da65f570b18668670"><ac:plain-text-body><![CDATA[Radiology. 2013 Feb 7. [Epub ahead of print] ([link

http://www.ncbi.nlm.nih.gov/pubmed/23392431])

 

 

]]></ac:plain-text-body></ac:structured-macro>

Genomic Mapping and Survival Prediction in Glioblastoma: Molecular Subclassification Strengthened by Hemodynamic Imaging Biomarkers.
Jain R, Poisson L, Narang J, Gutman D, Scarpace L, Hwang SN, Holder C, Wintermark M, Colen RR, Kirby J, Freymann J, Brat DJ, Jaffe C, Mikkelsen T.
<ac:structured-macro ac:name="unmigrated-wiki-markup" ac:schema-version="1" ac:macro-id="c4424750db391847-66c7a97d-40c04153-b66cb855-d5704079acfb8ea50a6e3640"><ac:plain-text-body><![CDATA[Radiology. 2012 Dec 13. [Epub ahead of print] ([link

http://www.ncbi.nlm.nih.gov/pubmed/23238158])

  • TCGA-GBM DSC T2* MR Perfusion  (contains the raw perfusion image studies)]]></ac:plain-text-body></ac:structured-macro>
  • TCGA-GBM DSC T2* nordicICE (contains the post-processed nordiceICE perfusion image studies)
  • Spreadsheet - contains scaling factors, rCBV values, and scanner info
  • Text files – contains text dumps of DICOM elements for nordicICE perfusion image studies

A Novel Volume-Age-KPS (VAK) Glioblastoma Classification Identifies a Prognostic Cognate microRNA-Gene Signature.
Zinn PO, Sathyan P, Mahajan B, Bruyere J, Hegi M, et al. (2012)
PLoS ONE 7(8): e41522. doi:10.1371/journal.pone.0041522 (link)

 

 

Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme.
Zinn PO, Majadan B, Sathyan P, Singh SK, Majumder S, et al. 2011
PLoS ONE 6(10): e25451. doi:10.1371/journal.pone.0025451 (link)

  • Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes

 

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