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Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.
Feld SI, Woo KM, Alexandridis R, Wu Y, Liu J, Peissig P, Onitilo AA, Cox J, Page CD, Burnside ES. Feld SI, et al. AMIA Annu Symp Proc. 2018 Dec 5;2018:1253-1262. eCollection 2018. AMIA Annu Symp Proc. 2018. PMID: 30815167 Free PMC article.
The predictive capability of combining demographic risk factors, germline genetic variants, and mammogram abnormality features for breast cancer risk prediction is poorly understood. ...The …
The predictive capability of combining demographic risk factors, germline genetic variants, and …
Comparing Mammography Abnormality Features to Genetic Variants in the Prediction of Breast Cancer in Women Recommended for Breast Biopsy.
Burnside ES, Liu J, Wu Y, Onitilo AA, McCarty CA, Page CD, Peissig PL, Trentham-Dietz A, Kitchner T, Fan J, Yuan M. Burnside ES, et al. Acad Radiol. 2016 Jan;23(1):62-9. doi: 10.1016/j.acra.2015.09.007. Epub 2015 Oct 26. Acad Radiol. 2016. PMID: 26514439 Free PMC article.
We developed predictive models using logistic regression to determine the predictive ability of (1) demographic variables, (2) 10 selected genetic variants, or (3) mammography BI-RADS features. ...CONCLUSIONS: BI-RADS features …
We developed predictive models using logistic regression to determine the predictive ability of (1) demographic variabl …