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The Co-Clinical Imaging Research Resources Program (CIRP)

NCI launched CIRP in 2015 to establish web-accessible, co-clinical, quantitative imaging research resources. CIRP focuses on optimization of quantitative imaging methods for precision medicine in preclinical and clinical settings.

Background on CIRP

CIRP is a trans-NCI initiative designed to:

  • Provide the cancer community with web-accessible research resources for quantitative imaging in co-clinical trials (investigations in patients and mouse or human-in-mouse models)
  • Encourage consensus on how quantitative imaging methods can be optimized to improve the quality of imaging results for co-clinical trials
  • Leverage existing NCI resources and programs to ensure best practices, effective outreach, and rapid dissemination

Essential Components of CIRP Projects

CIRP projects include four essential components:

  • Animal models (GEMMs or PDXs)
  • Co-clinical therapeutic trials
  • Quantitative preclinical and clinical imaging methods
  • Informatics for supporting web-resources

Scientific Objectives of CIRP

The scientific objectives of the program are to:

  • Provide cancer and imaging research communities with web-accessible resources for quantitative imaging in co-clinical trials
  • Encourage consensus on how quantitative imaging methods can be optimized to improve the quality of imaging results for co-clinical trials.

CIRP Funded Projects and Web Resources

CIRP supports ten co-clinical trial projects that span a diverse range of tumor types, therapeutic interventions, and imaging modalities.

To facilitate co-clinical imaging research, each CIRP project establishes a web resource to disseminate freely accessible and comprehensive information on experimental design, protocol and software development, modeling and information extraction, biological and pathological validations, multiscale data integration, and preclinical-clinical correlations.

Select a column header to sort by Cancer and Award Year.

Cancer PI Names(s)
(*Contact PIs)
Institutes Project/Web Resource Award Year
Colorectal cancer Charles Manning*
Skott Kopetz
MD Anderson Cancer Center

MDACC Predict

Web Resource

2018
ER+/HER2- breast cancer Kooresh Shoghi*
Li Ding
Shunqiang Li
Cynthia Ma
Washington University

Washington University Co-Clinical Imaging Research Resource

Web Resource

2022
Myelofibrosis cancer Brian Ross*
Thomas Chenevert
Gary Luker
Moshe Talpaz
University of Michigan

University of Michigan Quantitative Co-Clinical Imaging Research Resource

Web Resource

2019
Non-small cell lung cancer Paul Kinahan*
A. McGarry Houghton
University of Washington
Fred Hutchinson Cancer Research Center
Brigham and Women's Hospital

A Quantitative PET/CT Research Resource for Co-Clinical Imaging of Lung Cancer Therapies

Web Resource

2021
Osteosarcoma cancer Heike Daldrup-Link*
Daniel Rubin
Stanford University

Co-Clinical Research Resource for Imaging Tumor Associated Macrophages

Web Resource

2021
Pancreatic ductal adenocarcinoma cancer Rong Zhou*
Peter O’Dwyer
Mark Rosen
University of Pennsylvania

Penn Quantitative MRI Resource for Pancreatic Cancer

Web Resource

2018
Small cell neuroendocrine prostate cancer John Kurhanewicz*
Donna Peehl
Renuka Sriram
University of California at San Francisco

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

Web Resource

2020
Soft tissue sarcoma cancer Cristian Badea*
G. Allan Johnson
Duke University

The Duke Preclinical Research Resources for Quantitative Imaging Biomarkers

Web Resource

2017
Triple negative breast cancer Kooresh Shoghi*
Joseph Ackerman
Shunqiang Li
Richard Wahl
Washington University

Washington University Co-Clinical Imaging Research Resource

Web Resource

2017
Triple negative breast cancer Mike Lewis*
Thomas Yankeelov
Daniel Rubin
Baylor College of Medicine
University of Texas at Austin
Stanford University

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

Web Resource

2019

The CIRP Network

The CIRP Network comprises nine co-clinical imaging research resources and the relevant research resources provided by associate members.

The CIRP Network Mission

The mission is to advance precision medicine by establishing and disseminating consensus-based best practices for co-clinical imaging and by developing optimized state-of-the-art quantitative imaging methodologies for disease detection, risk stratification, and therapeutic response assessment.

The CIRP Network Structure

The CIRP Network includes a steering committee, CIRP teams, working groups (WGs), and associate members. The WGs include:

  • Animal Models and Co-Clinical Trials
  • Imaging Acquisition and Data Process
  • Informatics and Outreach

CIRP invites academic investigators who are not funded by CIRP to join the network as associate members. The associate members contribute expertise and efforts to the WGs, to expand the scientific scope of the network and help achieve a broad consensus on co-clinical imaging.

How to Join the CIRP Network as an Associate Member

The CIRP Network invites NCI and NIH-supported academic investigators to join as associate members. The network is looking for investigators with expertise in animal models (GEMMs or PDXs), co-clinical therapeutic trials, quantitative imaging in the preclinical and clinical settings, and informatics technology.

As an associate member, you can contribute to developing a consensus on co-clinical imaging issues, expansion of CIRP’s scientific scope, and acceleration of the dissemination of CIRP resources. Please see the Solicit Associate Members and the mission statement of Working Groups.

CIRP Annual Meetings

CIRP organizes annual meetings and meeting sessions at scientific conferences or meetings by other NCI programs.

CIRP’s annual meeting is open to the public with no registration fee. CIRP has a home page at the NCI Wiki site, which is a workspace for intra-network communications and scientific discussions and a website where you can share publicly accessible information, news/events, and CIRP web resources.

Contact

Dr. Huiming Zhang (zhanghui@mail.nih.gov)

  • Updated:

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