Contact Name

Laura Sobieck

Contact Phone

5738826376

Contact Email

sobieckl@umsystem.edu

Speaker(s) Information

Dr. Joy Jiang

Associate Professor, Public Health Sciences & Director of the Epidemiology & Biostatistics Cancer Imaging Research Center, Washington University, St. Louis

Additional Event Information

Title: Predicting Long-Term Breast Cancer Risk with Mammogram Imaging Data

 

ABSTRACT: Screening mammography aims to identify breast cancer early and secondarily measures breast density to classify women at higher or lower than average risk for future breast cancer in the general population. Our primary goal in this study is to extract mammogram-based features that augment the well-established breast cancer risk factors to improve prediction accuracy. In this talk, I will present a novel supervised functional principal component analysis to extract image-based features that are ordered by association with the failure times. A closed-form solution is provided through the proposed eigenvalue decomposition algorithm. Empirical comparisons are made to the conventional functional principal component analysis and the functional partial least squares method. The proposed method is applied to the motivating Joanne Knight Breast Health cohort at Siteman Cancer Center. Our study demonstrates superior prediction performance compared to the benchmark models and reveals insights on risk patterns within mammograms.