Beyond Breast Density: Quantitative Assessment of Breast DCE-MRI and Breast Cancer Risk
Many women are considered at high risk of developing breast cancer due to genetic mutations and/or family history of breast cancer. High-risk women struggle to make difficult decisions about risk-reducing interventions, such as chemoprevention, mastectomy, or oophorectomy, which all reduce risk, but are also associated with substantial side effects. Such decisions are highly personal, requiring accurate quantification of individual risk and response characteristics to risk-reducing interventions. Current breast cancer risk assessment in the clinic is imprecise at the individual level. A personalized risk assessment that incorporates a woman’s particular risk profile, such as anatomical, functional, or biological characteristics of her breast, can help to individualize breast cancer risk management. Mammographic breast density has been an established independent risk factor. Recent advances in breast magnetic resonance imaging (MRI) provide exquisite and high-resolution capabilities to characterize in-vivo properties of breast tissue, where MRI-derived measures have been shown to be related to breast cancer risk. Current MRI assessment in the clinic is qualitative, which is coarse, subjective, variable between readers, and difficult to standardize. The speaker will talk about fully-automated computerized methods for quantitative analysis of breast MRI and the application of these methods in several clinical studies to investigate new biomarkers of breast cancer risk and response to risk-reducing interventions.