Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholds

摘要

BackgroundThe percentage of mammographic dense tissue (PD) defined by pixel value threshold is a well-established risk factor for breast cancer. Recently there has been some evidence to suggest that an increased threshold based on visual assessment could improve risk prediction. It is unknown, however, whether this also applies to volumetric density using digital raw mammograms.