The goal of this project is to identify the optimal IBIS model that maximizes screening benefits and minimizes harms. We hypothesize that the “full” model (with all breast cancer risk factors) has better calibration/discrimination compared to a reduced model that includes age and family history only. We also hypothesize that that “full” model will improve cancer yield without affecting MRI referrals.
Improved Selection of BRCA-negative High-Risk Women for Breast MRI Screening through Validation of IBIS Risk Model Variants
Investigator: Habel, Laurel
Funder: TPMG Delivery Science Projects Program