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About CIRP

The Co-Clinical Imaging Research Resources Program Network (CIRP) is based on the trans-NCI initiative, currently, PAR-18-841. This FOA invites Cooperative Agreement applications to develop research resources that encourage a consensus on how quantitative imaging methods are optimized to improve the quality of imaging results for co-clinical trials. Projects include optimization of pre-clinical quantitative imaging methods, implementation in co-clinical trials, and creating a web-accessible research resource that contains all the data, methods, workflow documentation, and results collected from cancer therapeutic or prevention co-clinical investigations. To achieve the goals of the CIRP, applicants are encouraged to organize multi-disciplinary teams with experience in mouse models research, human investigations, imaging platforms, quantitative imaging methods, decision support software and informatics to populate the research resource. Each resource contains four essential elements: animal models, co-clinical trials, quantitative imaging, and informatics.


Four essential elements



Mission Statement

The Co-clinical Imaging Research Resource Program Network (CIRP) is organized to advance the practice of precision medicine by establishing consensus-based best practices for co-clinical imaging and developing optimized state-of-the-art translational quantitative imaging methodologies to enable disease detection, risk stratification, and assessment/prediction of response to therapy.


Network Structure          



       Washington University at St Louis

                               PI: Kooresh Shoghi ( )

                               Project: Washington University Co-Clinical Imaging Research Resource

       Duke University

                               PI:  Cristian Badea (

                               Project: The Duke Preclinical Research Resources for Quantitative Imaging Biomarkers

       Vanderbilt University

                               PI: Henry Charles Manning (

                               Project: VU Predict

       University of Pennsylvania

                               PI: Rong Zhou (

                               Project: Penn Quantitative MRI Resource for Pancreatic Cancer


Team websites

                    Washington University at St Louis: 

                    Duke University:

                    Vanderbilt University:

                    University of Pennsylvania:


Application info

                    1. FOA

                    2. Pre-submission consultation template

                    3. FAQ



                     2018 CIRP Annual Meeting

                    2018 OMF Annual Meeting

                    2019 CIRP Annual Meeting, Introduction Slides

                    2019 QIN Annual Meeting


Coming events:

                    2019 WMIC Meeting, Sept 4 - 7, 2019, Montreal, Canada, Spotlight Session 5: Co-clinical Imaging in Precision Medicine



Created by Huiming Zhang Last Modified Wed July 17, 2019 11:13 am by Huiming Zhang