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Article

The use of the Gail model, body mass index and SNPs to predict breast cancer among women with abnormal (BI-RADS 4) mammograms.

Breast cancer research : BCR - 8 Jan 2015

McCarthy Anne Marie, Keller Brad, Kontos Despina, Boghossian Leigh, McGuire Erin, Bristol Mirar, Chen Jinbo, Domchek Susan, Armstrong Katrina

Abstract excerpt

INTRODUCTION: Mammography screening results in a significant number of false-positives. The use of pretest breast cancer risk factors to guide follow-up of abnormal mammograms could improve the positive predictive value of screening. We evaluated the use of the Gail model, body mass index (BMI), and genetic markers to predict cancer diagnosis among women with abnormal mammograms. We also examined the extent to...

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Identifiers

PMID: 25567532
DOI: 10.1186/s13058-014-0509-4
PMCID: PMC4311477

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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