@article{8b3fdf73b71c4634827fe0bf7e218e5b,
title = "Reproductive Factors and Mammographic Density: Associations among 24,840 Women and Comparison of Studies Using Digitized Film-Screen Mammography and Full-Field Digital Mammography",
abstract = "Breast density is a modifiable factor that is strongly associated with breast cancer risk. We sought to understand the influence of newer technologies of full-field digital mammography (FFDM) on breast density research and to determine whether results are comparable across studies using FFDM and previous studies using traditional film-screen mammography. We studied 24,840 screening-Age (40-74 years) non-Hispanic white women who were participants in the Research Program on Genes, Environment and Health of Kaiser Permanente Northern California and underwent screening mammography with either Hologic (Hologic, Inc., Marlborough, Massachusetts) or General Electric (General Electric Company, Boston, Massachusetts) FFDM machines between 2003 and 2013.We estimated the associations of parity, age at first birth, age at menarche, and menopausal status with percent density and dense area as measured by a single radiological technologist using Cumulus software (Canto Software, Inc., San Francisco, California).We found that associations between reproductive factors and mammographic density measured using processed FFDM images were generally similar in magnitude and direction to those from prior studies using film mammography. Estimated associations for both types of FFDM machines were in the same direction. There was some evidence of heterogeneity in the magnitude of the effect sizes by machine type, which we accounted for using random-effects meta-Analysis when combining results. Our findings demonstrate the robustness of quantitative mammographic density measurements across FFDMand film mammography platforms.",
keywords = "Breast Cancer, Mammographic Density, Mammography, Risk Factors",
author = "Alexeeff, {Stacey E.} and Odo, {Nnaemeka U.} and Russell McBride and Valerie McGuire and Ninah Achacoso and Rothstein, {Joseph H.} and Lipson, {Jafi A.} and Liang, {Rhea Y.} and Luana Acton and Yaffe, {Martin J.} and Whittemore, {Alice S.} and Rubin, {Daniel L.} and Weiva Sieh and Habel, {Laurel A.}",
note = "Funding Information: Author affiliations: Division of Research, Kaiser Permanente Northern California, Oakland, California (Stacey E. Alexeeff, Ninah Achacoso, Luana Acton, Laurel A. Habel); Optum360, UnitedHealth Group, Inc., Las Vegas, Nevada (Nnaemeka U. Odo); Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York (Russell McBride, Joseph H. Rothstein, Weiva Sieh); Department of Health Research and Policy, Division of Epidemiology, School of Medicine, Stanford University, Stanford, California (Valerie McGuire, Alice S. Whittemore); Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York (Joseph H. Rothstein, Weiva Sieh); Department of Radiology, School of Medicine, Stanford University, Stanford, California (Jafi A. Lipson, Rhea Y. Liang, Daniel L. Rubin); Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (Martin J. Yaffe); and Department of Biomedical Data Science, School of Medicine, Stanford University, Stanford, California (Alice S. Whittemore, Daniel L. Rubin). W.S. and L.A.H. are co–senior authors. This study was supported by the National Cancer Institute (grants R01 CA166827 (Principal Investigator, W.S.), K07 CA143047 (Principal Investigator, W.S.), and R01 CA168893 (Principal Investigator, L.A.H.)). Publisher Copyright: {\textcopyright} The Author(s) 2019.",
year = "2019",
month = jun,
day = "1",
doi = "10.1093/aje/kwz033",
language = "English",
volume = "188",
pages = "1144--1154",
journal = "American Journal of Epidemiology",
issn = "0002-9262",
publisher = "Oxford University Press",
number = "6",
}