Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nu N. Le"'
Autor:
Wen Li, Nu N. Le, Rohan Nadkarni, Natsuko Onishi, Lisa J. Wilmes, Jessica E. Gibbs, Elissa R. Price, Bonnie N. Joe, Rita A. Mukhtar, Efstathios D. Gennatas, John Kornak, Mark Jesus M. Magbanua, Laura J. van’t Veer, Barbara LeStage, Laura J. Esserman, Nola M. Hylton
Publikováno v:
Tomography, Vol 10, Iss 11, Pp 1832-1845 (2024)
Background: This multicenter and retrospective study investigated the additive value of tumor morphologic features derived from the functional tumor volume (FTV) tumor mask at pre-treatment (T0) and the early treatment time point (T1) in the predicti
Externí odkaz:
https://doaj.org/article/239e5715cc2941a296c96473b259310b
Autor:
Nu N. Le, Wen Li, Natsuko Onishi, David C. Newitt, Jessica E. Gibbs, Lisa J. Wilmes, John Kornak, Savannah C. Partridge, Barbara LeStage, Elissa R. Price, Bonnie N. Joe, Laura J. Esserman, Nola M. Hylton
Publikováno v:
Tomography, Vol 8, Iss 3, Pp 1208-1220 (2022)
This study evaluated the inter-reader agreement of tumor apparent diffusion coefficient (ADC) measurements performed on breast diffusion-weighted imaging (DWI) for assessing treatment response in a multi-center clinical trial of neoadjuvant chemother
Externí odkaz:
https://doaj.org/article/4e753dc001e14a2996cd0448e63b5a67
Autor:
Nu N. Le, Natsuko Onishi, David C. Newitt, Jessica E. Gibbs, Lisa J. Wilmes, Efstathios Gennatas, Barbara LeStage, Laura J. Esserman, Nola M. Hylton, Wen Li
Publikováno v:
Cancer Research. 83:PD16-07
Background Breast cancer is a heterogeneous disease and can be categorized into clinically or biologically meaningful subtypes. Predictive models built by MRI biomarkers performed better when they are optimized by breast cancer subtype than models op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd4195696ad9379ee3206fac5bbdaac0
https://doi.org/10.1158/1538-7445.sabcs22-pd16-07
https://doi.org/10.1158/1538-7445.sabcs22-pd16-07
Autor:
Wen, Li, Nu N, Le, Natsuko, Onishi, David C, Newitt, Lisa J, Wilmes, Jessica E, Gibbs, Julia, Carmona-Bozo, Jiachao, Liang, Savannah C, Partridge, Elissa R, Price, Bonnie N, Joe, John, Kornak, Mark Jesus M, Magbanua, Rita, Nanda, Barbara, LeStage, Laura J, Esserman, I-Spy Imaging Working Group, I-Spy Investigator Network, Laura J, Van't Veer, Nola M, Hylton
Publikováno v:
Cancers; Volume 14; Issue 18; Pages: 4436
This study tested the hypothesis that a change in the apparent diffusion coefficient (ADC) measured in diffusion-weighted MRI (DWI) is an independent imaging marker, and ADC performs better than functional tumor volume (FTV) for assessing treatment r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e574cc7e78386f06eb46a5601600df9
https://pubmed.ncbi.nlm.nih.gov/36139594
https://pubmed.ncbi.nlm.nih.gov/36139594
Autor:
Judith Zimmermann, Julia Carmona-Bozo, Nu N. Le, Natsuko Onishi, Lisa J. Wilmes, Jessica E. Gibbs, Jiachao Liang, David C. Newitt, Savannah Partridge, Patrick Bolan, Bonnie N. Joe, Elissa R. Price, Barbara LeStage, Nola M. Hylton, Wen Li
Publikováno v:
Cancer Research. 83:P6-01
Background: The apparent diffusion coefficient (ADC) presents a biomarker that is sensitive to tumor cellularity. ADC maps can be calculated from non-contrast diffusion-weighted magnetic resonance imaging (DW-MRI) measurements. ACRIN 6698, a sub-stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::265ddae5e0fdc54094938efbbf76f789
https://doi.org/10.1158/1538-7445.sabcs22-p6-01-33
https://doi.org/10.1158/1538-7445.sabcs22-p6-01-33