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Last Updated: 09/23/20

The Co-Clinical Imaging Research Resources Program (U24s)

The NCI Co-Clinical Imaging Research Resource Program (CIRP) promotes development of quantitative imaging resources for therapeutic or prevention co-clinical trials that study both patients and human-in-mouse models. The resources will encourage a consensus on optimizing quantitative imaging methods and develop standard operating procedures for co-clinical applications. CIRP is committed to provide broader cancer communities and broader imaging communities with free-accessible, comprehensive information resources to guide the co-clinical imaging investigations in the context of experimental design, protocol & software development, modeling & information extraction, biological & pathological validations, multiscale data integration, and preclinical-clinical correlations.

How To Apply

Applicants are encouraged to read the PAR-18-841. The proposed projects should 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. 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 as follows:

  • Animal models should be selected from available, credentialed and validated GEMMs or PDXs mouse models that mimic the genetics and biology of patient's malignancies or precancerous lesions.
  • Co-clinical trials are expected to study therapeutic interventions known to be responsive or early cancer detection or preventions known to be effective.
  • Quantitative imaging should be selected from state-of-art quantitative imaging methods that are clinically available and identical to the preclinical, with primary focus on optimizing the preclinical methods.
  • Informatics should include state-or-art informatic methods for images and metadata achieving, tools sharing, and robust web accessing.

Applicants are encouraged to request a pre-submission consultation. Please contact the program director, Huiming Zhang (zhanghui@mail.nih.gov), for details. Also, a pre-submission consultation template can be downloaded from CIRPHub, along with a FAQ for this FOA. Please fill out the template and set up a teleconference with NCI contact with your team.

CIRP Sites

Washington University at St Louis
Kooresh Shoghi (shoghik@wustl.edu)
Washington University Co-Clinical Imaging Research Resource

Duke University
Cristian Badea (Cristian.Badea@duke.edu)
The Duke Preclinical Research Resources for Quantitative Imaging Biomarkers

MD Anderson Cancer Center
Henry Charles Manning (HCManning@mdanderson.org)
MDACC Predict

University of Pennsylvania
Rong Zhou (rongzhou@mail.med.upenn.edu)
Penn Quantitative MRI Resource for Pancreatic Cancer

University of Michigan
Brian D. Ross (bdross@umich.edu)
University of Michigan Quantitative Co-Clinical Imaging Research Resource

Baylor College of Medicine*/UT Austin/Stanford
Michael Lewis (mtlewis@bcm.edu)
Integrating Omics and Quantitative Imaging Data in Co-Clinical Trials to Predict Treatment Response in Triple Negative Breast Cancer

University of California, San Francisco
John Kurhanewicz (john.kurhanewicz@ucsf.edu)
Co-Clinical Quantitative Imaging of Small Cell Neuroendocrine Prostate Cancer Using Hyperpolarized 13C MRI

CIRP Network Structure and Homepage

The organization structure of the CIRP comprises a steering committee and three working groups, including animal models and co-clinical trials, imaging acquisition and data process, and informatics and outreach. The network will interact with other NCI programs and resources, broader cancer communities, and broader imaging communities. CIRP will hold joint annual meetings with OMF and QIN.

CIRPHub will be used as the network workspace for intra-network communications & scientific discussions and serves as the network homepage for publishing news/events and announcing activities externally. This homepage provides the public with the website link of individual teams, where functional information as the deliverables of each team will be evolved and become free-accessible to public as the project progresses.