Projects

Advancing Equitable Risk-based Breast Cancer Screening and Surveillance in Community Practice  

Funding Provided By: National Cancer Institute 

Co-Principal Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Co-Principal Investigators: Diana Miglioretti, PhD, University of California, Davis and Anna Tosteson, ScD, Dartmouth Institute for Health Policy, and Clinical Practice  

Co-investigators: Jeff Tice, MD and Bonnie Joe, MD, University of California, San Francisco 

Summary: The overall goal of this project is to identify clinically actionable and equitable risk-based strategies to maximize benefits and minimize harms for women undergoing breast cancer screening and breast cancer survivors undergoing surveillance. This study is being conducted by the Breast Cancer Surveillance Consortium (https://www.bcsc-research.org/

 

Evaluation of novel tomosynthesis density measures in breast cancer risk prediction 

Funding Provided By: National Cancer Institute 

Co-Principal Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Co-Principal Investigators: Celine Vachon, PhD, Mayo Clinic, Rochester, MN and Despina Kontos, PhD, Columbia University, New York 

Summary: The major goal of this study is to comprehensively examine tomosynthesis volumetric density measures as risk factors for breast cancer and evaluate their impact on established breast cancer risk models and high-risk thresholds for preventative therapy and tailored imaging.  

 

Comparative Effectiveness of Breast Cancer Screening, Diagnosis, and Management in Community Practice 

Funding provided by: Patient-Centered Outcomes Research Institute 

Co-Principal Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Co-Principal Investigator: Diana MIglioretti, PhD, Professor of Biostatistics, University of California, Davis and Anna Tosteson, ScD, Dartmouth Institute for Health Policy, and Clinical Practice 

Summary: The major goal of this project is to compare the effectiveness of digital screening mammography alone versus digital mammography plus supplemental screening on patient-centered clinical outcomes and patient-reported outcomes and compare the effectiveness of preoperative MRI versus no MRI on patient-centered clinical outcomes and patient-reported outcomes among women diagnosed with DCIS or invasive breast cancer. 

 

Radiomic phenotypes of breast parenchyma and association with breast cancer risk and detection 

Funding provided by: National Cancer Institute 

Co-Principal Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Co-Principal Investigators: Celine Vachon, PhD, Mayo Clinic, Rochester, MN and Despina Kontos, PhD, University of Pennsylvania 

Summary: The major goal of this study is to collect clinical risk factors, raw digital images, mammographic breast density, parenchymal features, and cancer outcomes from to measure parenchymal complexity phenotypes and their independent association with breast cancer risk and detection. 

 

Identifying Effective Risk-based Supplemental Ultrasound Screening Strategies for Women with Dense Breasts 

Funding provided by: National Cancer Institute 

Principal investigator: Brian Sprague, PhD, University of Vermont 

Co-Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Summary: The major goal of this study is to use data from three breast imaging registries including the San Francisco Mammography Registry to provide evidence on the benefits and harms of ultrasound screening strategies by breast density and overall and advanced breast cancer risk.  

 

Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes 

Funding provided by: National Cancer Institute 

Principal investigator: Christoph Lee, MD, University of Washington 

Co-Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Summary: The major goal of this study is to identify woman-, residential-, exam-, provider-, and practice-level factors that may contribute to diagnostic disparities and serve as potential targets for interventions aimed at decreasing disparities in timely breast cancer diagnosis and management. This study is being conducted within the Breast Cancer Surveillance Consortium (https://www.bcsc-research.org/). 

 

Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical Translation 

Funding provided by: National Cancer Institute 

Principal investigator: Christoph Lee, MD, University of Washington 

Co-Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Summary: The major goal of this study is to conduct a population-based evaluation of FDA-approved AI technologies for automated cancer detection on screening digital breast tomosynthesis across a diverse national cohort and to estimate U.S. population-level clinical- and cost-effectiveness of incorporating AI cancer detection algorithms into routine screening. This study is being conducted within the Breast Cancer Surveillance Consortium (https://www.bcsc-research.org/). 

 

Hawaii Pacific Islands Mammography Registry 

Funding provided by: National Cancer Institute 

Co-Principal Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Co-Principal Investigator: John Shepherd, PhD, University of Hawaii Cancer Center 

Summary: The major goal of this study is to compare breast cancer outcomes in Asian women compared to other racial and ethnic groups who participate in the Hawaii Pacific Islands Mammography Registry and San Francisco Mammography Registry to determine clinical and image factors that influence breast cancer risk and stage at diagnosis. 

 

Clinical breast cancer risk prediction models for women with a high-risk benign breast diagnosis 

Funding provided by: National Cancer Institute 

Principal investigator: Brian Sprague, PhD, University of Vermont 

Co-Investigator: Karla Kerlikowske, MD, Professor of Medicine and Epidemiology and Biostatistics, University of California, San Francisco 

Summary: The major goal of this study is to provide definitive new evidence to guide clinical management recommendations for high-risk breast lesions.