Radiomic and genomic predictors of breast cancer risk
Improving breast cancer risk prediction models could enable more personalized screening. This would enhance the benefits of screening while limiting the harms. This study will evaluate the performance of multi-feature image risk score models in a large population-based cohort; determine whether image-based scores predict breast cancer risk independently of clinical and genetic predictors; and ransfer the best image-based algorithm from 2D to 3D images.
Investigator: Habel, Laurel
Funder: National Cancer Institute
