Teams and Projects

Washington University at St Louis

PI: Kooresh Shoghi (shoghik@mir.wustl.edu )

Project Title: Washington University Co-Clinical Imaging Research Resource

Project 1: Triple Negative Breast Cancer

Project 2: ER2+/HER2- Breast Cancer

Duke University

PI:  Cristian Badea (Cristian.Badea@duke.edu)

Project: The Duke Preclinical Research Resources for Quantitative Imaging Biomarkers

MD Anderson Cancer Center

PI: Henry Charles Manning (HCManning@mdanderson.org)

Project: MDACC Predict (Previous VU Predict)

University of Pennsylvania

PI: Rong Zhou (rongzhou@mail.med.upenn.edu)

Project: Penn Quantitative MRI Resource for Pancreatic Cancer

University of Michigan

PI: Brian D. Ross (bdross@umich.edu)

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

Baylor College of Medicine*/UT Austin/Stanford

PI: Michael Lewis (mtlewis@bcm.edu)

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 (john.kurhanewicz@ucsf.edu)

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

University of Washington*/Fred Hutchinson Cancer Research Center/Brigham and Women's Hospital

PI: Paul Kinahan (kinahan@uw.edu) 

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

Stanford University

PI: Daldrup-Link (heiked@stanford.edu)

Project: Co-Clinical Research Resource for Imaging Tumor-Associated Macrophages

A highlight of CIRP Projects

See Peehl DM, et al. Animal Models and Their Role in Imaging-assisted Co-clinical Trials. Tomography 2023, 9, 657–680. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037611/