The Imaging Core will perform all MR and bioluminescence imaging studies on mouse tumor models for Projects 1 and 2. In addition, the Imaging Core is responsible for all preclinical and clinical data archiving, post-processing and analysis. Core personnel will provide services including: (a) define and implement data acquisition/imaging sequences;(b) assist with animal preparation for imaging;(c) perform all data collection on the 9.4 Tesla MRI, 7 Tesla MRI and Caliper bioluminescence imaging systems;(d) preliminary data processing/image reconstruction and quantitative analysis including PRM analysis for both preclinical (Projects 1 and 2) and clinical imaging data (Project #3) and outcomes data;(e) secure archival of raw data and network transfer of reconstructed data from off-site facilities;(f) scheduling of imaging experiments;and (g) provide support to Program Investigators in technical design and implementation of imaging experiments. These services are designed, in part, after a """"""""clinical MRI service"""""""" model since continual, high-volume animal scanning is essential for the success of each project Specific animal MRI protocols will vary with each project, but will primarily include serial studies using: standard T2-weighted;Tl-weighted dynamic contrast enhanced;multislice quantitative water diffusion mapping and dynamic contrast enhancing permeability mapping. The Core will also facilitate the identification of the spatial coordinates needed for biopsy of mouse gliomas using stereotaxic procedures and facilite this activity. The Core will also assist with transfer of MR data to Imbio, LLC for offsite analysis of diffusion and perfusion MRI data sets acquired at multiple sites. Dr. Galban will serve as Core B Director. Dr. Galban has extensive experience in small animal imaging research as well as digital image processing and analysis of clinical MRI data. A Co-investigator and staff will assist Dr. Galban with adapting image processing algorithm's and associated analysis software to ensure the needs of this programmatic research effort are fully met.

Public Health Relevance

Overall, this research effort will provide the imaging data and analysis for evaluating improved approaches including the use of molecularly targeted therapies for the treatment of malignant brain tumors. Additionally, imaging biomarkers for early assessment of treatment response and recurrence will be identified and validated which will lead to individualization of patient care.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA085878-11
Application #
8745105
Study Section
Special Emphasis Panel (ZCA1-RPRB-W)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
11
Fiscal Year
2014
Total Cost
$318,447
Indirect Cost
$88,259
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Galbán, C J; Hoff, B A; Chenevert, T L et al. (2016) Diffusion MRI in early cancer therapeutic response assessment. NMR Biomed :
Chen, Daiqin; Dougherty, Casey A; Yang, Dongzhi et al. (2016) Radioactive Nanomaterials for Multimodality Imaging. Tomography 2:3-16
Masch, William R; Wang, Page I; Chenevert, Thomas L et al. (2016) Comparison of Diffusion Tensor Imaging and Magnetic Resonance Perfusion Imaging in Differentiating Recurrent Brain Neoplasm From Radiation Necrosis. Acad Radiol 23:569-76
Van Dort, Marcian E; Hong, Hao; Wang, Hanxiao et al. (2016) Discovery of Bifunctional Oncogenic Target Inhibitors against Allosteric Mitogen-Activated Protein Kinase (MEK1) and Phosphatidylinositol 3-Kinase (PI3K). J Med Chem 59:2512-22
Ross, Brian D (2016) Demonstration of an Inline Publication Image Viewer: The Future of Radiological Publishing. Tomography 2:1-2
Aryal, Madhava P; Chenevert, Thomas L; Cao, Yue (2016) Impact of uncertainty in longitudinal T1 measurements on quantification of dynamic contrast-enhanced MRI. NMR Biomed 29:411-9
Nyati, Shyam; Chator, Areeb; Schinske, Katerina et al. (2016) A Requirement for ZAK Kinase Activity in Canonical TGF-β Signaling. Transl Oncol 9:473-481
Ceccarelli, Michele; Barthel, Floris P; Malta, Tathiane M et al. (2016) Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma. Cell 164:550-63
Tang, Ming; Verhaak, Roel Gw (2016) A Molecular Take on Malignant Rhabdoid Tumors. Trends Cancer 2:217-218
Lemasson, Benjamin; Wang, Hanxiao; Galbán, Stefanie et al. (2016) Evaluation of Concurrent Radiation, Temozolomide and ABT-888 Treatment Followed by Maintenance Therapy with Temozolomide and ABT-888 in a Genetically Engineered Glioblastoma Mouse Model. Neoplasia 18:82-9

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