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

Sector: Commercial • Location: United States of America

Source: Grants.gov

Project
Archived

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

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The project “Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01)” is an infrastructure initiative in the Commercial sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

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 encourages 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.

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Source reliability

High

Data quality score

100%

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URL

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