Breast cancer risk prediction in women aged 35–50 years: impact of including sex hormone concentrations in the Gail model
Abstract
Models that accurately predict risk of breast cancer are needed to help younger women make decisions about when to begin screening. Premenopausal concentrations of circulating anti-Müllerian hormone (AMH), a biomarker of ovarian reserve, and testosterone have been positively associated with breast cancer risk in prospective studies. We assessed whether adding AMH and/or testosterone to the Gail model improves its prediction performance for women...
Paper Details
Title
Breast cancer risk prediction in women aged 35–50 years: impact of including sex hormone concentrations in the Gail model
Published Date
Mar 19, 2019
Journal
Volume
21
Issue
1
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