Open AccessAutomated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk
Author(s) -
Kevin H. Kensler,
Emily Z.F. Liu,
Suzanne C. Wetstein,
Allison Onken,
Christina Luffman,
Gabrielle M. Baker,
Laura C. Collins,
Stuart J. Schnitt,
Vanessa C. Bret-Mounet,
Mitko Veta,
Josien P. W. Pluim,
Ying Li,
Graham A. Colditz,
A. Heather Eliassen,
Susan E. Hankinson,
Rulla M. Tamimi,
Yujing J. Heng
Publication year - 2020
Publication title -
cancer epidemiology, biomarkers and prevention
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.234
H-Index - 192
eISSN - 1538-7755
pISSN - 1055-9965
DOI - 10.1158/1055-9965.epi-20-0723
Subject(s) - breast cancer , medicine , involution (esoterism) , breast disease , logistic regression , body mass index , obstetrics , oncology , gynecology , cancer , psychology , consciousness , neuroscience
Manual qualitative and quantitative measures of terminal duct lobular unit (TDLU) involution were previously reported to be inversely associated with breast cancer risk. We developed and applied a deep learning method to yield quantitative measures of TDLU involution in normal breast tissue. We assessed the associations of these automated measures with breast cancer risk factors and risk.