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 of adult and pediatric cancers. 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

       MD Anderson Cancer Center

                               PI: Henry Charles Manning (

                               Project: MDACC Predict (Previous VU Predict)

       University of Pennsylvania

                               PI: Rong Zhou (

                               Project: Penn Quantitative MRI Resource for Pancreatic Cancer

      University of Michigan

                               PI: Brian D. Ross (

                               Project: University of Michigan Quantitative Co-Clinical Imaging Research Resource

      Baylor College of Medicine*/UT Austin/Stanford

                               PI: Michael Lewis (

                               Project: Integrating Omics and Quantitative Imaging Data in Co-Clinical Trials to Predict Treatment Response in Triple Negative Breast Cancer

       University of California, San Francisco

                                PI: John Kurhanewicz (

                                Project: Co-Clinical Quantitative Imaging of Small Cell Neuroendocrine Prostate Cancer Using Hyperpolarized 13C MRI


Team websites

                    Washington University at St Louis: 

                    Duke University:

                    Vanderbilt University:

                    University of Pennsylvania:

                    University of Michigan:


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

                    2019 WMIC Meeting, Spotlight Session 5, Promise and Challenges of Co-Clinical Imaging (Slides)

                    2020 CIRP Annual Virtual Meeting, Introduction Slides


Coming events:

                   CIRP Annual Meeting 2021, June 16-17, Rockville, MD



Created by Huiming Zhang Last Modified Mon September 21, 2020 8:40 am by Huiming Zhang