Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Luana Acton"'
Autor:
Ninah Achacoso, Laurel A. Habel, Daniel L. Rubin, Jafi A. Lipson, Luana Acton, Stacey E. Alexeeff, Valerie McGuire, Weiva Sieh, Nnaemeka U. Odo, Joseph H. Rothstein, Rhea Y. Liang, Martin J. Yaffe, Alice S. Whittemore
Publikováno v:
Cancer Epidemiology, Biomarkers & Prevention. 26:1450-1458
Background: High mammographic density is strongly associated with increased breast cancer risk. Some, but not all, risk factors for breast cancer are also associated with higher mammographic density.Methods: The study cohort (N = 24,840) was drawn fr
Autor:
Alice S. Whittemore, Joseph H. Rothstein, Ninah Achacoso, Daniel L. Rubin, Valerie McGuire, Russell B. McBride, Martin J. Yaffe, Jafi A. Lipson, Luana Acton, Nnaemeka U. Odo, Rhea Y. Liang, Weiva Sieh, Laurel A. Habel, Stacey E. Alexeeff
Publikováno v:
Am J Epidemiol
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 result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6f215cdb3e904b5440b33ce0f0c1278
https://europepmc.org/articles/PMC6545283/
https://europepmc.org/articles/PMC6545283/
Case-control study of mammographic density and breast cancer risk using processed digital mammograms
Autor:
Ninah Achacoso, Laurel A. Habel, Daniel L. Rubin, Alice S. Whittemore, Luana Acton, Weiva Sieh, Joseph H. Rothstein, Martin J. Yaffe, Rhea Y. Liang, Valerie McGuire, Jafi A. Lipson
Publikováno v:
Breast Cancer Research : BCR
Background Full-field digital mammography (FFDM) has largely replaced film-screen mammography in the US. Breast density assessed from film mammograms is strongly associated with breast cancer risk, but data are limited for processed FFDM images used
Autor:
Ninah S. Achacoso, Balaram Puligandla, Angela M. Capra, Charles P. Quesenberry, Luana Acton, Laurel A. Habel, Aradhana Janga
Publikováno v:
Cancer Epidemiology, Biomarkers & Prevention. 19:2488-2495
Background: We examined whether mammographic density predicts risk of second breast cancers among patients with ductal carcinoma in situ (DCIS). Methods: The study included DCIS patients diagnosed during 1990 to 1997 and treated with breast-conservin
Autor:
Ninah Achacoso, Rebecca E. Graff, Stacey E. Alexeeff, Eric Jorgenson, Luana Acton, Russell B. McBride, Rhea Y. Liang, Alice S. Whittemore, Daniel L. Rubin, Robert J. Klein, Martin J. Yaffe, Neil Risch, Lori C. Sakoda, Catherine Schaefer, Laurel A. Habel, Joseph H. Rothstein, Jafi A. Lipson, Douglas F. Easton, Valerie McGuire, Weiva Sieh
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Nature communications, vol 11, iss 1
Nature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
Nature communications, vol 11, iss 1
Mammographic density (MD) phenotypes are strongly associated with breast cancer risk and highly heritable. In this GWAS meta-analysis of 24,192 women, we identify 31 MD loci at P
Mammographic density represents one the strongest predictors of br
Mammographic density represents one the strongest predictors of br