Overview
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
Teams
Washington University at St Louis
PI: Kooresh Shoghi ([email protected] )
Project: Washington University Co-Clinical Imaging Research Resource
Duke University
PI: Cristian Badea ([email protected])
Project: The Duke Preclinical Research Resources for Quantitative Imaging Biomarkers
MD Anderson Cancer Center
PI: Henry Charles Manning ([email protected])
Project: MDACC Predict (Previous VU Predict)
University of Pennsylvania
PI: Rong Zhou ([email protected])
Project: Penn Quantitative MRI Resource for Pancreatic Cancer
University of Michigan
PI: Brian D. Ross ([email protected])
Project: University of Michigan Quantitative Co-Clinical Imaging Research Resource
Baylor College of Medicine*/UT Austin/Stanford
PI: Michael Lewis ([email protected])
University of California, San Francisco
PI: John Kurhanewicz ([email protected])
University of Washington*/Fred Hutchinson Cancer Research Center/Brigham and Women's Hospital
PI: Paul Kinahan ([email protected])
Project: A Quantitative PET/CT Research Resource for Co-Clinical Imaging of Lung Cancer Therapies
Stanford University
PI: Daldrup-Link ([email protected])
Project: Co-Clinical Research Resource for Imaging Tumor Associated Macrophages
Team websites
Washington University at St Louis: https://c2ir2.wustl.edu/
Duke University: https://sites.duke.edu/pcqiba/
MD Anderson Cancer Center:https://www.mdanderson.org/research/departments-labs-institutes/programs-centers/predict.html
University of Pennsylvania: https://pennpancreaticcancerimagingresource.github.io/
University of Michigan: https://umu24cirp.med.umich.edu/
Baylor College of Medicine*/UT Austin/Stanford: https://miraccl.research.bcm.edu/
University of California, San Francisco: https://coclinicalimaging.ucsf.edu/
Stanford University: https://radweb.su.domains/cirp/
Application info
1. FOA
2. Pre-submission consultation template
3. FAQ
Activities:
2019 CIRP Annual Meeting, Introduction Slides
2019 WMIC Meeting, Spotlight Session 5, Promise and Challenges of Co-Clinical Imaging (Slides)
2020 CIRP Annual Virtual Meeting, Introduction Slides
2021 ISMRM Meeting, MIS-16, Slides
2021 CIRP Annual Virtual Meeting, Program Introduction Slides, Network Introduction Slides
Coming events:
2022 CIRP Annual Meeting, June 22-23, Rockville, MD
Selected Publications:
https://nciphub.org/groups/cirphub/collections/selected-cirp-publications
