This grant will be under the administrative cognizance of the Department of Radiology within the School of Medicine. The department is professionally supported by the School of Medicine staff and the central university Grant and Contract Services organization. The PI, KA Krohn, and the co-PI, JF Eary, meet weekly with the project and core directors to review the progress of the research and to insure effective use of core resources by scheduling imaging studies. In addition, the administrative core will include data analysis and statistics. The data analysis and modeling group provides mathematical analysis of the kinetics of radiopharmaceutical biodistribution as both a research and a service component. In particular, we will extend mixture analysis to each of the projects over the next five years and apply novel heterogeneity analysis to the characterization of tumors using PET imaging. In order to increase the level of biostatistical involvement in protocol design and hypothesis testing, we have two small sub-contracts that are essential to the quality and overall productivity of our research program. The clinical utility of image-based information needs to be tested in terms of what additional information the PET-derived measurements contribute to the prediction of patient outcome at the treatment planning stage. Each of our hypotheses describes an observational study with imaging data, assays of relevant biomarkers, and measures of patient response/survival. At preset the imaging data is not used to influence patient's treatment, however, our goal is to identify imaging procedures where a clinically important improvement in predictive accuracy, beyond that attained with existing clinical and diagnostic methods, can be achieved. Because the improved prediction will have clear therapeutic implications and our results will pave the way for these hypotheses to be tested in future cooperative clinical trials, the consultants in biostatistics play a critical role in focusing protocols and directing data analysis in anticipation of cooperative prospective trials.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA042045-19
Application #
7236114
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2006-03-01
Budget End
2007-02-28
Support Year
19
Fiscal Year
2006
Total Cost
$221,210
Indirect Cost
Name
University of Washington
Department
Type
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Lindner, Jonathan R; Link, Jeanne (2018) Molecular Imaging in Drug Discovery and Development. Circ Cardiovasc Imaging 11:e005355
O'Sullivan, Finbarr; O'Sullivan, Janet N; Huang, Jian et al. (2018) Assessment of a statistical AIF extraction method for dynamic PET studies with 15O water and 18F fluorodeoxyglucose in locally advanced breast cancer patients. J Med Imaging (Bellingham) 5:011010
Linden, Hannah M; Peterson, Lanell M; Fowler, Amy M (2018) Clinical Potential of Estrogen and Progesterone Receptor Imaging. PET Clin 13:415-422
Link, Jeanne M; Krohn, Kenneth A; O'Hara, Matthew J (2017) A simple thick target for production of89Zr using an 11MeV cyclotron. Appl Radiat Isot 122:211-214
Wolsztynski, E; O'Sullivan, F; O'Sullivan, J et al. (2017) Statistical assessment of treatment response in a cancer patient based on pre-therapy and post-therapy FDG-PET scans. Stat Med 36:1172-1200
Kurland, Brenda F; Peterson, Lanell M; Lee, Jean H et al. (2017) Estrogen Receptor Binding (18F-FES PET) and Glycolytic Activity (18F-FDG PET) Predict Progression-Free Survival on Endocrine Therapy in Patients with ER+ Breast Cancer. Clin Cancer Res 23:407-415
Wangerin, Kristen A; Muzi, Mark; Peterson, Lanell M et al. (2017) A virtual clinical trial comparing static versus dynamic PET imaging in measuring response to breast cancer therapy. Phys Med Biol 62:3639-3655
Fowler, Amy M; Clark, Amy S; Katzenellenbogen, John A et al. (2016) Imaging Diagnostic and Therapeutic Targets: Steroid Receptors in Breast Cancer. J Nucl Med 57 Suppl 1:75S-80S
Muzi, Mark; Krohn, Kenneth A (2016) Imaging Hypoxia with ยน?F-Fluoromisonidazole: Challenges in Moving to a More Complicated Analysis. J Nucl Med 57:497-8
Currin, Erin; Peterson, Lanell M; Schubert, Erin K et al. (2016) Temporal Heterogeneity of Estrogen Receptor Expression in Bone-Dominant Breast Cancer: 18F-Fluoroestradiol PET Imaging Shows Return of ER Expression. J Natl Compr Canc Netw 14:144-7

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