Chief, Division of Breast Imaging
Bio
In the United States each year, 37 million women are screened for breast cancer, and yet confusion remains as to the optimal use of supplemental screening, such as MRI or ultrasound, for women at higher risk of breast cancer. A learning healthcare system that learns from the experiences of every patient and not just those who participate in clinical trials, is one potential approach to optimizing personalized breast cancer screening guidelines.
At Rush University Medical Center, Lisa Stempel, MD and a team of experts have developed local clinical guidelines, structured clinical documentation, and data analytics to support a learning system. In this important next phase of the work, we will automatically calculate the cancer detection rate for each type of breast imaging study, an important measure of the quality of a breast cancer screening program. We will then compare the cancer detection rate for different risk-based sub-populations and use this data to refine our local screening recommendations. This novel approach could have a significant impact on the future of breast cancer screening research and guideline development.
Lisa Stempel, MD
Rush University Medical Center
Past
Senior Investigator
Deyu Fang, PhD
A Novel Deubiquitinase in Breast Cancer Tumorigenesis and Therapeutic Targeting
Past
Senior Investigator
Ann Marie Flores, PT, PhD
A Pilot Test of the Breast Cancer Pre-habilitation and Prospective Surveillance to Prevent, Detect, and Optimize Physical and Functional Recovery (B-PREPeD)
Why your gift matters
Your gift helps researchers test bold ideas, generate critical data, and take the first steps toward the next major advancement in breast cancer treatment and care.Together, we can accelerate discoveries that save lives.
