Quantitative Imaging Tools and Methods for Cancer Response Assessment (9.12.18)

June 27, 2017
By: Julie Poucher Harbin, Writer, DCI

Quantitative Imaging Tools and Methods for Cancer Response Assessment (U01)

Funding Agency: National Institutes of Health 

This purpose of this Funding Opportunity Announcement (FOA) is to provide a mechanism of support to research organizations interested in clinically translating already optimized quantitative imaging software tools capable of measuring or predicting the response of cancer to clinical therapies, or in translating imaging tools for planning and validating radiation therapy treatment strategies in clinical trials. The quantitative tools must have been developed and optimized during a performance period in the Quantitative Imaging Network (QIN) or under other separate funding. The proposed research effort should be an extension of the research that successfully completed the tasks of developing and optimizing the chosen software tools or data collection methods intended to facilitate clinical decision making during clinical trials. This FOA is intended to support the efforts of validating those tools in prospective multisite clinical trials in order to test tool performance and to demonstrate that the tool can be integrated into clinical workflow with a minimum of disruption.

Research teams including those currently funded as a part of the Quantitative Imaging Network PAR-14-116 or PAR-11-150 and interested in initiating a new research direction within the Quantitative Imaging Network may apply to PAR-17-128 with a combined UG3/UH3 application. In addition, research groups interested in advancing QI tools and methods but do not qualify as having clinical support tools as defined in this FOA are encourages to apply through PAR-17-129.

Application Deadlines:  

  • Letter of Intent: Apr. 9, 2017
  • Application: May 9, 2017; September 12, 2017; January 9, 2018; May 9, 2018; September 12, 2018; January 9, 2019; May 9, 2019; September 12, 2019; January 9, 2020

Eligibility: Faculty

For more information: https://grants.nih.gov/grants/guide/pa-files/PAR-17-129.html