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Improving the estimation of prognosis for glioblastoma patients by MR based hemodynamic tissue signatures

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Improving the estimation of prognosis for glioblastoma patients by MR based hemodynamic tissue signatures

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Fuster García, E.; Juan -Albarracín, J.; García-Ferrando, GA.; Martí-Bonmatí, L.; Aparici-Robles, F.; Garcia-Gomez, JM. (2018). Improving the estimation of prognosis for glioblastoma patients by MR based hemodynamic tissue signatures. NMR in Biomedicine. 31(12). https://doi.org/10.1002/nbm.4006

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/122274

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Title: Improving the estimation of prognosis for glioblastoma patients by MR based hemodynamic tissue signatures
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Issued date:
Abstract:
[EN] Advanced MRI and molecular markers have been raised as crucial to improve prognostic models for patients having glioblastoma (GBM) lesions. In particular, different MR perfusion based markers describing vascular ...[+]
Subjects: Glioblastoma , Habitats , Hemodynamic tissue signatures , Intrapatient heterogeneity , Perfusion weighted imaging
Copyrigths: Reserva de todos los derechos
Source:
NMR in Biomedicine. (issn: 0952-3480 )
DOI: 10.1002/nbm.4006
Publisher:
John Wiley & Sons
Publisher version: http://doi.org/10.1002/nbm.4006
Description: This is the peer reviewed version of the following article: Fuster García, Elíes, Juan -Albarracín, Javier, García-Ferrando, Germán Adrián, Martí-Bonmatí, Luis , Aparici-Robles , F, Garcia-Gomez, Juan M. (2018). Improving the estimation of prognosis for glioblastoma patients by MR based hemodynamic tissue signatures.NMR in Biomedicine, 31, 12. DOI: 10.1002/nbm.4006, which has been published in final form at http://doi.org/10.1002/nbm.4006. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving
Thanks:
Fundacio Bancaria la Caixa, Grant/Award Number: LCF/TR/CI16/10010016; H2020 European Institute of Innovation and Technology, Grant/Award Number: POC-2016.SPAIN-07; Ministerio de Ciencia, Innovacion y Universidades - Gobierno ...[+]
Type: Artículo

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