Open AccessAssociation of mammographic density measures and breast cancer “intrinsic” molecular subtypes
Author(s) -
Geffen Kleinstern,
Christopher G. Scott,
Rulla M. Tamimi,
Matthew R. Jensen,
V. Shane Pankratz,
Kimberly A. Bertrand,
Aaron D. Norman,
Daniel W. Visscher,
Fergus J. Couch,
Kathleen R. Brandt,
John Shepherd,
Fang Wu,
Yunn Yi Chen,
Steven R. Cummings,
Stacey J. Winham,
Karla Kerlikowske,
Celine M. Vachon
Publication year - 2021
Publication title -
breast cancer research and treatment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.908
H-Index - 154
eISSN - 1573-7217
pISSN - 0167-6806
DOI - 10.1007/s10549-020-06049-8
Subject(s) - breast cancer , medicine , odds ratio , confidence interval , mammographic density , estrogen receptor , body mass index , logistic regression , oncology , cancer , demography , mammography , gynecology , physiology , sociology
We evaluated the association of percent mammographic density (PMD), absolute dense area (DA), and non-dense area (NDA) with risk of "intrinsic" molecular breast cancer (BC) subtypes.