Assessment of anti-angiogenic therapies for the most severe form of brain cancer, glioblastoma, is extremely timely given the recent approval of bevacizumab yet the moderate response rate and the challenging side effects of these therapies. Clinical decision-making tools are badly needed;fortunately, our recently published data suggest that measurement of microvascular properties of the tumor using MRI and gadolinium-based approaches could be very useful, as with proper quantitation these methods appear to be capable of serving as an effective prognostic imaging biomarker, and may be beneficially combined with blood biomarkers. We propose to join the NCI's Quantitative Imaging Network (QIN) and develop improved analysis methods for dynamic contrast enhanced MRI and dynamic susceptibility MRI that will improve quantification and decrease variability. We propose to develop techniques that will be applicable in the multicenter setting through a bottom-up approach of simulations, phantom studies, retrospective analysis, and prospective analysis in patients undergoing treatment with anti-angiogenic therapies. We anticipate that our proposed approach, in particular through working in close harmony with the QIN, will improve the reliability of advanced microvascular MRI methods as potential imaging biomarkers, and pave the way for a clinically useful decision-making tool.

Public Health Relevance

Advanced MRI methods may improve our ability to provide an accurate prognosis and potentially guide treatment choices for glioblastoma patients. Our proposed research will help establish a common, standardized approach to acquisition and analysis of two forms of vascular MRI that have shown excellent promise. We will do this by careful reduction of variability and by close participation in the National Cancer Institute's Quantitative Imaging Network. These efforts will enable these advanced techniques to become more widely available and more appropriately establish their benefit to patients.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA154601-03
Application #
8535537
Study Section
Special Emphasis Panel (ZCA1-SRLB-9 (O2))
Program Officer
Nordstrom, Robert J
Project Start
2011-05-06
Project End
2017-04-30
Budget Start
2013-05-07
Budget End
2014-04-30
Support Year
3
Fiscal Year
2013
Total Cost
$660,134
Indirect Cost
$288,996
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Shazeeb, Mohammed Salman; Kalpathy-Cramer, Jayashree; Issa, Bashar (2017) MRI Simulation Study Investigating Effects of Vessel Topology, Diffusion, and Susceptibility on Transverse Relaxation Rates Using a Cylinder Fork Model. Sci Rep 7:16223
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Joint Head and Neck Radiotherapy-MRI Development Cooperative (2016) Dynamic contrast-enhanced MRI detects acute radiotherapy-induced alterations in mandibular microvasculature: prospective assessment of imaging biomarkers of normal tissue injury. Sci Rep 6:29864
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