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Consortium for Imaging and Biomarkers (CIB)

The Consortium for Imaging and Biomarkers (CIB) seeks to improve cancer screening, early detection of aggressive cancer, assessment of cancer risk, and cancer diagnosis by integrating imaging strategies with biomarkers into complementary approaches.

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About the Consortium for Imaging and Biomarkers

The Consortium for Imaging and Biomarkers aims to integrate imaging strategies and biomarker methodologies into a singular complementary approach to cancer detection. Investigators Work in multi-disciplinary teams to perform collaborative studies, exchange information, share knowledge and leverage common resources.

Overdiagnosis (finding cancers that will never affect a person’s health) and false positives (test results that show cancer when none is there) present significant clinical problems in the prevention, detection and treatment of cancer. There is a need to more accurately identify early-stage aggressive cancers and distinguish lesions that are life threatening from those that are not.

The Consortium for imaging and Biomarkers Research Units develop, optimize, and clinically validate novel methods to:

  • Detect aggressive cancers at the earliest stages possible;
  • Reduce overdiagnosis;
  • Reduce false positive tests; and
  • Identify lethal cancers from non-lethal disease.

The goal of the Consortium for imaging and Biomarkers is to develop improved methods for the early detection of aggressive cancer by managing overdiagnosis, reducing false positives and identifying lethal cancers from non-lethal disease using strategies aimed at effective integration and validation of imaging and biomarkers.

Funding Opportunity

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Grantee Details

PI Name Sort descending PI Organization Title Grant Number Program Official
Taratula, Oleh

Oregon State University
United States

Novel Nanomedicine-Based Therapeutic Approach For Treatment of Cancer Cachexia 5R37CA234006-07 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Taratula, Oleh

Oregon State University
United States

Novel Nanomedicine-Based Therapeutic Approach For Treatment of Cancer Cachexia 5R37CA234006-07 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Tayob, Nabihah

Dana-Farber Cancer Inst
United States

Biomarker screening algorithms for the improved early detection of hepatocellular carcinoma 5R01CA230503-07 Nicholas Hodges, Ph.D.
Tearney, Guillermo J

Massachusetts General Hospital
United States

Colorectal Cancer Screening with Optical Coherence Tomography 5R01CA280972-02 Matthew Young, Ph.D.
Temprosa, Marinella

George Washington University
United States

22/22 Limited Competition for the Continuation of the Diabetes Prevention Program Outcomes Study (DPPOS) – Biostatistics Center 2U01DK048489-28 Brandy Heckman-Stoddard, Ph.D., M.P.H.
Tennis, Meredith A

University Of Colorado Denver
United States

Modeling lung squamous cell carcinoma premalignancy and prevention 1R01CA298925-01
Tennis, Meredith A

University Of Colorado Denver
United States

Persistence and regression in lung premalignant lesions 1R01CA289576-01A1 Malgorzata Wojtowicz, M.D.
Terry, Kathryn L.

Brigham And Women'S Hospital
United States

Changing Contraceptive Patterns and Ovarian Cancer Risk 5R01CA258679-05 Goli Samimi, Ph.D., M.P.H.
Tewari, Ashutosh K

Icahn School Of Medicine At Mount Sinai
United States

Artificial intelligence enabled Stroma-Weighted Automated Grading system to improve risk stratification in Black Men 1R01CA290438-01A1 Indu Kohaar, Ph.D., M.Phil., M.Sc.
Thakur, Mathew Laxman

Thomas Jefferson University
United States

Noninvasive, Uniplex, Molecular, Pathomic Urinary Assay for Detection of Prostate Cancer 5R01CA249921-05
Thangaraju, Muthusamy

Augusta University
United States

Bacteria-derived xenobiotics in colon cancer prevention: Link to GPR109A and colonic ketogenesis 5R01CA275840-03
Thompson, Patricia Ann

State University New York Stony Brook
United States

Three-Arm randomized trial comparing the effect of aspirin, sulindac or no treatment control on breast density in patients with elevated breast cancer risk 5R01CA235720-05 Edward Sauter, M.D., Ph.D.
Thompson, Patricia Ann

University Of Arizona
United States

University of Arizona Cancer Prevention Clinical Trials Network 2UG1CA242596-07 Donald Johnsey
Tollefsbol, Trygve O

University Of Alabama At Birmingham
United States

Combinatorial epigenetic-based prevention of breast cancer 5R01CA178441-10 Gabriela Riscuta, M.D., CNS
Tong, Frank

Vanderbilt University
United States

Learning the visual and cognitive bases of lung nodule detection 5R01CA240274-05

Program Contact(s)

Sudhir Srivastava, Ph.D., M.P.H.
Email: sudhir.srivastava@nih.gov

Guillermo Marquez, Ph.D.
Email: guillermo.marquez@nih.gov