Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01)

The summary for the Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Institutes of Health, which is the U.S. government agency offering this grant.

Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01): Purpose. This funding opportunity announcement (FOA) is designed to promote research on quantitative imaging of tumor response to cancer therapies in clinical trial settings, with the overall goal of facilitating clinical decision making.Proposed projects should include the appropriate development and adaptation/implementation of quantitative imaging methods, protocols and software solutions/tools (using existing commercial imaging platforms and instrumentation), and their application in current and planned Phase 1-2 clinical therapy trials.No support for the clinical trials, as such, will be provided under this FOA.The proposed projects must focus on imaging-derived quantitative measurements of responses to drugs and/or radiation therapy, and/or image-guided interventions.It is anticipated that these research goals will require multidisciplinary efforts. Therefore, this FOA solicits applications from multi-disciplinary teams to include oncologists as well as clinical and basic imaging scientists.The involvement of industrial partners in the development of the quantitative imaging methods is not required, but is strongly encouraged.Awardees will form a Quantitative Imaging Network (QIN) to share ideas and approaches to validate and standardize imaging data and related imaging metadata for quantitative measurements of responses to cancer therapies.