Mammographic density: intersection of advocacy, science, and clinical practice.

Journal Article

Purpose: Here we aim to review the association between mammographic density, collagen structure and breast cancer risk. Findings: While mammographic density is a strong predictor of breast cancer risk in populations, studies by Boyd show that mammographic density does not predict breast cancer risk in individuals. Mammographic density is affected by age, parity, menopausal status, race/ethnicity, and body mass index (BMI).New studies normalize mammographic density to BMI may provide a more accurate way to compare mammographic density in women of diverse race and ethnicity. Preclinical and tissue-based studies have investigated the role collagen composition and structure in predicting breast cancer risk. There is emerging evidence that collagen structure may activate signaling pathways associated with aggressive breast cancer biology. Summary: Measurement of film mammographic density does not adequately capture the complex signaling that occurs in women with at-risk collagen. New ways to measure at-risk collagen potentially can provide a more accurate view of risk.

Full Text

Duke Authors

Cited Authors

  • Tossas-Milligan, K; Shalabi, S; Jones, V; Keely, PJ; Conklin, MW; Elicerie, KW; Winn, R; Sistrunk, C; Geradts, J; Miranda-Carboni, G; Dietze, EC; Yee, LD; Seewaldt, VL

Published Date

  • September 2019

Published In

Volume / Issue

  • 11 / 3

Start / End Page

  • 100 - 110

PubMed ID

  • 33312342

Pubmed Central ID

  • 33312342

International Standard Serial Number (ISSN)

  • 1943-4588

Digital Object Identifier (DOI)

  • 10.1007/s12609-019-00316-4


  • eng

Conference Location

  • United States