Page History

Notes for constructing this page.

h6.
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h6. inks To this page from:

TCGA-GBM Collection

CIP TCGA Radiology Initiative{htmlcomment}

h6. link out to:

TCGA-GBM Collection

CIP TCGA Radiology Initiative

TCGA Dataportal site.


h6. Content:

VASARI visual training guide

Vasari key documentation

Adam's RSNA powerpoint overview presentation (import and display as jpegs?) with text as intro


Publications (paste in Carl's doc with full ASNR abstracts)

Link to TCGA project data portal (with graphic link) - to section on GBM if it exists.

h1. Summary

This page contains projects relating to the CIP TCGA Radiology  Glioblastoma multiforme (GBM) data set.  There is an existing pilot data  set of GBM images hosted at [CBIIT's National Biomedical Imaging Archive|http://imaging.nci.nih.gov/] including \~100 cases of MRI data.  CIP is in the process of deploying a  Cancer Imaging Archive (powered by NBIA software) which will include a  revised version of this data that will provide an improved ability to do  advanced analysis (inclusion of critical DICOM tags absent in the CBIIT  data set) as well as an expanded number of cases.  Details will be  posted here once the site goes live.

This radiological data correlates with the other [GBM data types hosted in the TCGA Data Portal|http://tcga-data.nci.nih.gov/tcga/tcgaCancerDetails.jsp?diseaseType=GBM&diseaseName=Glioblastoma%20multiforme].   See the child pages for ongoing initiatives.  Please contact the CIP  Informatics Team if your research group would like to be kept in the  loop as this effort moves forward.  You can reach us by emailing John  Freymann or Justin Kirby at:
* freymanj (at) mail (dot) nih (dot) gov
* kirbyju (at) mail (dot) nih (dot) gov

h1. caBIG Tools for TCGA-GBM Analysis

Informatics software for use with this data has also been developed as part of the [caBIG TCGA Enterprise Use-Case|https://wiki.nci.nih.gov/display/Imaging/TCGA+Enterprise+Use+Case] project. This caBIG enterprise use-case enabled TCGA images stored in NBIA (the same software powering the Cancer Imaging Archive) to be displayed on three different free and/or open source DICOM viewer workstations that possess annotation and markup capabilities based on [Annotation Imaging Markup (AIM)|https://cabig.nci.nih.gov/tools/AIM].  These workstations were customized to allow retrieval of images from NBIA over the caGrid (from the NCI CBIIT deployed NBIA server only), markup by AIM standards, and storage back to an AIM-E Grid data service. Some of these tools have been leveraged as part of the [Public:CIP TCGA Radiology Initiative] where possible.