Conference Proceedings
Validation of iPrevent using the prospective family study cohort (ProF-SC)
K-A Phillips, Y Liao, IM Collins, R Buchsbaum, P Weideman, A Bickerstaffe, RJ MacInnis, J Cuzick, A Antoniou, IL Andrulis, EM John, MB Daly, SS Buys, JL Hopper, MB Terry
CANCER RESEARCH | AMER ASSOC CANCER RESEARCH | Published : 2019
Abstract
Abstract Background: iPrevent (https://www.petermac.org/iprevent) provides women with highly-tailored risk management information after first estimating their breast cancer (BC) risk using the established risk prediction models, IBIS and BOADICEA. iPrevent has an internal switching algorithm that governs which model is used for each woman, depending on her risk factor data (i.e. LCIS/atypical hyperplasia status, BRCA status, and cancer family history). This study assessed the calibration and discriminatory accuracy of the 10-year BC risk estimates provided by iPrevent. Methods: Subjects were 16,574 women in the ProF-SC, aged 18-70 years and without BC or bilateral mastectomy a..
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