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Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them

• The management of gliomas has changed dramatically since the presentation of the revised WHO Classification of Tumors of the Central Nervous System in 2016 emphasizing the tumor heterogeneity based on their molecular profile. • The need for a more noninvasive characterization of glioblastomas (GBM...

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Autor principal: Auer, Timo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379107/
https://www.ncbi.nlm.nih.gov/pubmed/33890147
http://dx.doi.org/10.1007/s00330-021-07978-8
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author Auer, Timo A.
author_facet Auer, Timo A.
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description • The management of gliomas has changed dramatically since the presentation of the revised WHO Classification of Tumors of the Central Nervous System in 2016 emphasizing the tumor heterogeneity based on their molecular profile. • The need for a more noninvasive characterization of glioblastomas (GBM) by establishing reliable imaging biomarkers to predict patient outcome and improve therapy monitoring is bigger than ever. • Multiparametric MRI, including promising newer techniques like electrical property tomography and mapping, may have the potential to provide enough information for intelligent imaging postprocessing algorithms to face the challenge by decoding GBM heterogeneity noninvasively.
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spelling pubmed-83791072021-09-02 Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them Auer, Timo A. Eur Radiol Editorial Comment • The management of gliomas has changed dramatically since the presentation of the revised WHO Classification of Tumors of the Central Nervous System in 2016 emphasizing the tumor heterogeneity based on their molecular profile. • The need for a more noninvasive characterization of glioblastomas (GBM) by establishing reliable imaging biomarkers to predict patient outcome and improve therapy monitoring is bigger than ever. • Multiparametric MRI, including promising newer techniques like electrical property tomography and mapping, may have the potential to provide enough information for intelligent imaging postprocessing algorithms to face the challenge by decoding GBM heterogeneity noninvasively. Springer Berlin Heidelberg 2021-04-22 2021 /pmc/articles/PMC8379107/ /pubmed/33890147 http://dx.doi.org/10.1007/s00330-021-07978-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Editorial Comment
Auer, Timo A.
Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them
title Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them
title_full Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them
title_fullStr Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them
title_full_unstemmed Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them
title_short Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them
title_sort advanced mr techniques in glioblastoma imaging—upcoming challenges and how to face them
topic Editorial Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379107/
https://www.ncbi.nlm.nih.gov/pubmed/33890147
http://dx.doi.org/10.1007/s00330-021-07978-8
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