Breast cancer risk prediction and mammography biopsy decisions: a model-based study.

ABSTRACT:

Background

Controversy continues about screening mammography, in part because of the risk of false-negative and false-positive mammograms. Pre-test breast cancer risk factors may improve the positive and negative predictive value of screening.

Purpose

To create a model that estimates the potential impact of pre-test risk prediction using clinical and genomic information on the reclassification of women with abnormal mammograms (BI-RADS3 and BI-RADS4 [Breast Imaging-Reporting and Data System]) above and below the threshold for breast biopsy.

Methods

The current study modeled 1-year breast cancer risk in women with abnormal screening mammograms using existing data on breast cancer risk factors, 12 validated breast cancer single-nucleotide polymorphisms (SNPs), and proba

SUBMITTER: Armstrong K 

PROVIDER: S-EPMC3527848 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature