Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Christian Elrod"'
Autor:
Leland S. Hu, Fulvio D’Angelo, Taylor M. Weiskittel, Francesca P. Caruso, Shannon P. Fortin Ensign, Mylan R. Blomquist, Matthew J. Flick, Lujia Wang, Christopher P. Sereduk, Kevin Meng-Lin, Gustavo De Leon, Ashley Nespodzany, Javier C. Urcuyo, Ashlyn C Gonzales, Lee Curtin, Erika M. Lewis, Kyle W. Singleton, Timothy Dondlinger, Aliya Anil, Natenael B. Semmineh, Teresa Noviello, Reyna A. Patel, Panwen Wang, Junwen Wang, Jennifer M. Eschbacher, Andrea Hawkins-Daarud, Pamela R. Jackson, Itamar S. Grunfeld, Christian Elrod, Gina L. Mazza, Sam C. McGee, Lisa Paulson, Kamala Clark-Swanson, Yvette Lassiter-Morris, Kris A. Smith, Peter Nakaji, Bernard R. Bendok, Richard S. Zimmerman, Chandan Krishna, Devi P. Patra, Naresh P. Patel, Mark Lyons, Matthew Neal, Kliment Donev, Maciej M. Mrugala, Alyx B. Porter, Scott C. Beeman, Todd R. Jensen, Kathleen M. Schmainda, Yuxiang Zhou, Leslie C. Baxter, Christopher L. Plaisier, Jing Li, Hu Li, Anna Lasorella, C. Chad Quarles, Kristin R. Swanson, Michele Ceccarelli, Antonio Iavarone, Nhan L. Tran
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-20 (2023)
Abstract Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis of spatially matched molecular
Externí odkaz:
https://doaj.org/article/a2809ec273b7446289807a553cea6a7f
Autor:
Timothy J. Kaufmann, Christian Elrod, Bradley J. Erickson, Deanna H. Pafundi, Benjamin M. Ellingson, Leslie C. Baxter, Peter Nakaji, Debra Brinkman, Jennifer M. Eschbacher, Leland S. Hu, Kris A. Smith, Zachary S. Kelm, John P. Karis, Panagiotis Korfiatis, Amylou C. Dueck
Publikováno v:
AJNR. American journal of neuroradiology, vol 36, iss 12
Hu, LS; Kelm, Z; Korfiatis, P; Dueck, AC; Elrod, C; Ellingson, BM; et al.(2015). Impact of software modeling on the accuracy of perfusion MRI in glioma. American Journal of Neuroradiology, 36(12), 2242-2249. doi: 10.3174/ajnr.A4451. UCLA: Retrieved from: http://www.escholarship.org/uc/item/216339bt
Hu, LS; Kelm, Z; Korfiatis, P; Dueck, AC; Elrod, C; Ellingson, BM; et al.(2015). Impact of software modeling on the accuracy of perfusion MRI in glioma. American Journal of Neuroradiology, 36(12), 2242-2249. doi: 10.3174/ajnr.A4451. UCLA: Retrieved from: http://www.escholarship.org/uc/item/216339bt
Background and purposeRelative cerebral blood volume, as measured by T2*-weighted dynamic susceptibility-weighted contrast-enhanced MRI, represents the most robust and widely used perfusion MR imaging metric in neuro-oncology. Our aim was to determin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f24eafd48ef8e01266b71e4313ab0823
https://europepmc.org/articles/PMC4681640/
https://europepmc.org/articles/PMC4681640/