Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jennifer L. Saline"'
Publikováno v:
Cancer Research. 83:1899-1899
Background: Higher mammographic breast density is associated with a 4 to 6-fold increased risk of breast cancer. Some single institution retrospective studies show higher breast densities in Hispanic patients (Oppong et al. Breast J. 2018). The preva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2d662e99e857b6098db24cbc66304a0
https://doi.org/10.1158/1538-7445.am2023-1899
https://doi.org/10.1158/1538-7445.am2023-1899
Autor:
Jennifer L. Saline, Martha Manda-Mapalo, Andrew L. Sussman, Reed Selwyn, Ursa Brown-Glaberman, Wendy L Hine, Sarah Safadi, Ji-Hyun Lee, Stephanie G. Fine, Shiraz I. Mishra, Ruofei Du
Publikováno v:
J Womens Health (Larchmt)
Introduction: Digital breast tomosynthesis (DBT) may decrease recall rates (RRs) and improve positive predictive values (PPVs) and cancer detection rates (CDRs) versus full-field digital mammography (FFDM). The value of DBT has not been assessed in N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2abaffc583d47428132364f171782bb
https://europepmc.org/articles/PMC8020518/
https://europepmc.org/articles/PMC8020518/
Autor:
C. Jeffrey Brinker, Colin M. Wilson, Edward F. Wyckoff, Terisse A. Brocato, Anupama Hooda-Nehra, Ursa Brown-Glaberman, Lesley Lomo, Jennifer L. Saline, Wadih Arap, Zhihui Wang, Reed Selwyn, Vittorio Cristini, Renata Pasqualini
Publikováno v:
JCI Insight. 4
In clinical breast cancer intervention, selection of the optimal treatment protocol based on predictive biomarkers remains an elusive goal. Here, we present a modeling tool to predict the likelihood of breast cancer response to neoadjuvant chemothera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75301db6822888bf0a4a3bc2a9f39238
https://doi.org/10.1172/jci.insight.126518
https://doi.org/10.1172/jci.insight.126518