The overarching goal of this program project grant application is to change current clinical paradigms through the support of accurate, early detection and measurement of breast cancer response to chemotherapy (Projects 1, 3), and presurgical motor and temporal language cortex evaluation of brain function (Project 2) through the development, application and testing of robust and sophisticated registration and related signal processing tools. Project 1 investigates the efficacy of early-assessment and measurement of response to neoadjuvant chemo or hormonal therapy for patients with breast cancer obtained through the use of volumetric, diffusion and dynamic contrast enhancement MRI. The hypothesis is that nonlinear registration of interval breast exams increases the sensitivity and specificity of functional diffusion mapping (fDM) as well as the accuracy of dynamic contrast enhancement (DCE). Developing low noise, unbiased tools for assessing lesion response to therapy is currently an important topic. Project 2 extends previously completed work on registration-based fMRI motion by examining the benefits of combining our unique motion correction method with different fMRI acquisition protocols, e.g. clustered acquisition, to improve communication with the patient and response monitoring. Project 3 addresses the fundamental ambiguity problem in dynamic MRI associated with imaging in general: for any given technique either we can obtain high spatial or temporal resolution imaging data, but not both. Generalized techniques that support controlling and optimizing these tradeoffs during dynamic imaging in MRI are very important.

Public Health Relevance

The hypothesis is that these tools will dramatically improve the management of breast cancer patients by individuating therapy based on early, more accurate information that the chosen therapy regimen is/isn't working and should be continued/changed, respectively. For breast cancer therapy patients there is no reason to risk anemia, depleted white cells and platelets, and lost time to continue a debilitating chemotherapy regimen with no benefits in tumor suppression. For brain cancer patients the hypothesis is that presurgical evaluation of language and motor cortex will dramatically effect presurgical planning possibly even to the extent of deciding that a tumor is inoperable based on deficits that would be induced by its removal. Additional risks associated with extended open cranium-durations from electro-stimulation studies can be avoided by an appropriate presurgical fMRI evaluation which specifically includes the language and motor cortex, while reserving surgery primarily for resection. For both sets of patients emotional and monetary costs as well as health risks could be significantly reduced.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
5P01CA087634-07
Application #
7802144
Study Section
Special Emphasis Panel (ZCA1-GRB-P (O1))
Program Officer
Nordstrom, Robert J
Project Start
2000-07-01
Project End
2014-02-28
Budget Start
2010-03-01
Budget End
2011-02-28
Support Year
7
Fiscal Year
2010
Total Cost
$1,491,985
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Nyati, Shyam; Young, Grant; Ross, Brian Dale et al. (2017) Quantitative and Dynamic Imaging of ATM Kinase Activity. Methods Mol Biol 1596:131-145
Nataraj, Gopal; Nielsen, Jon-Fredrik; Fessler, Jeffrey A (2017) Optimizing MR Scan Design for Model-Based ${T}_{1}$ , ${T}_{2}$ Estimation From Steady-State Sequences. IEEE Trans Med Imaging 36:467-477
Jintamethasawat, Rungroj; Zhang, Xiaohui; Carson, Paul L et al. (2017) Acoustic beam anomalies in automated breast imaging. J Med Imaging (Bellingham) 4:045001
Larson, Eric D; Lee, Won-Mean; Roubidoux, Marilyn A et al. (2016) Automated Breast Ultrasound: Dual-Sided Compared with Single-Sided Imaging. Ultrasound Med Biol 42:2072-82
Nataraj, Gopal; Nielsen, Jon-Fredrick; Fessler, Jeffrey (2016) Optimizing MR Scan Design for Model-Based T1, T2 Estimation from Steady-State Sequences. IEEE Trans Med Imaging :
Piert, Morand; Montgomery, Jeffrey; Kunju, Lakshmi Priya et al. (2016) 18F-Choline PET/MRI: The Additional Value of PET for MRI-Guided Transrectal Prostate Biopsies. J Nucl Med 57:1065-70
Keith, Lauren; Ross, Brian D; Galbán, Craig J et al. (2016) Semiautomated Workflow for Clinically Streamlined Glioma Parametric Response Mapping. Tomography 2:267-275
Berisha, Visar; Wisler, Alan; Hero, Alfred O et al. (2016) Empirically Estimable Classification Bounds Based on a Nonparametric Divergence Measure. IEEE Trans Signal Process 64:580-591
Hero, Alfred O; Rajaratnam, Bala (2016) Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining. Proc IEEE Inst Electr Electron Eng 104:93-110
Galbán, Craig J; Ma, Bing; Malyarenko, Dariya et al. (2015) Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy. PLoS One 10:e0122151

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