Sanaz A. Jansen PhD, Presenter: Nothing to Disclose

Joseph Jen-Sho Chen MD, Abstract Co-Author: Advisory Board, Bayer AG

Eliot L. Siegel MD, Abstract Co-Author: Research grant, General Electric Company Speakers Bureau, Siemens AG Board of Directors, Carestream Health, Inc Research grant, XYBIX Systems, Inc Research grant, Steelcase, Inc Research grant, Anthro Corp Research grant, RedRick Technologies Inc Research grant, Evolved Technologies Corporation Research grant, Barco nv Research grant, Intel Corporation Research grant, Dell Inc Research grant, Herman Miller, Inc Research grant, Virtual Radiology Research grant, Anatomical Travelogue, Inc Medical Advisory Board, Fovia, Inc Medical Advisory Board, Vital Images Medical Advisory Board, McKesson Corporation Medical Advisory Board, Carestream Health, Inc Medical Advisory Board, Bayer AG Research, TeraRecon, Inc Medical Advisory Board, Bracco Group Researcher, Bracco Group Medical Advisory Board, Merge Healthcare Incorporated Medical Advisory Board, Microsoft Corporation Researcher, Microsoft Corporation

Brian Hughes, Abstract Co-Author: Employee, Terrapin Systems LLC

Paul Mulhern, Abstract Co-Author: Employee, Booz Allen Hamilton Inc

Terry Van Dyke, Abstract Co-Author: Nothing to Disclose

The purpose of this presentation is to provide the imaging community with an overview on how caBIG® imaging technologies are being utilized to support the development of a molecular and imaging based classification for genetically engineered mouse models (GEMs) of glioblastoma multiforme (GBM) at the NCI’s Mouse Cancer Genetics program.

NCI’s caBIG® program provides several technologies to support the management and analysis of pre-clinical data. This includes the National Biomedical Imaging Archive (NBIA), caARRAY, a genomic data repository, and caIntegrator, software that provides a web accessible analysis across the tumor characteristic, genomic, and clinical data. Although the NBIA had been historically used only for human images, mouse images were successfully loaded in NBIA with a modest additional effort required to crop and split the metadata. The other pre-clinical data was loaded into the caIntegrator instance at NCI. Terminologies from the NCI’s Thesaurus were re-used whenever possible. The Annotation Imaging Markup (AIM) data model is being evaluated for extension to include the mouse annotation so that structured radiology annotation data can be added to the caIntegrator data set for enhanced analysis.

It has been shown that the NBIA can fairly easily support mouse as well as human images and that caIntegrator can be used to support analysis across imaging and non-imaging data.

The Mouse GBM study provides another illustration of how the combination of standards, technologies and domain specific program support can provide quantifiable value to basic scientific research.

The caBIG® imaging technologies and standards are contributing to the successful use of imaging to characterize GBM GEMs towards assessing response to novel therapeutic regimens.

Jansen, S, Chen, J, Siegel, E, Hughes, B, Mulhern, P, Van Dyke, T, caBIG® Imaging Technologies Supporting Mouse GBM Study.  Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, November 26 - December 2, 2011 ,Chicago IL. http://archive.rsna.org/2011/11016786.html