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Radiomic and genomic predictors of breast cancer risk – DUPLICATED DO NOT ACTIVATE

Creating more personalized breast cancer risk prediction models would enhance the benefits and limit the harms of routine breast cancer screening. This study aims to evaluate the performance of multi-feature image risk score (radiomics) models in a large population-based cohort; determine whether image-based scores predict breast cancer risk independently of clinical and genetic predictors; and transfer the best image-based algorithm from 2D to 3D images.

Investigator: Habel, Laurel

Funder: National Cancer Institute

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