Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma

The authors analyzed the usefulness of Magnetic resonance texture analysis (MRTA) in predicting outcomes of patients with recurrent glioblastoma treated with bevacizumab. MRTA is a radiomics approach that aims to quantify macroscopic tissue heterogeneity by analyzing various parameters based on the...

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Autores: Lopez-Rueda, Antonio, Puig Alcántara, Josep, Thió i Fernández de Henestrosa, Santiago, Moreno-Negrete, Javier Luis, Zwanzger, Christian, Pujol, Teresa, Aldeco, Iban, Pineda, Estela, Valduvieco, Izaskun, González, José Juan, Oleaga, Laura
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10256/23058
Acceso en línea:http://hdl.handle.net/10256/23058
Access Level:acceso abierto
Palabra clave:Marcadors tumorals
Tumor markers
Glioblastoma multiforme
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spelling Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent GlioblastomaLopez-Rueda, AntonioPuig Alcántara, JosepThió i Fernández de Henestrosa, SantiagoMoreno-Negrete, Javier LuisZwanzger, ChristianPujol, TeresaAldeco, IbanPineda, EstelaValduvieco, IzaskunGonzález, José JuanOleaga, LauraMarcadors tumoralsTumor markersGlioblastoma multiformeGlioblastoma multiformeThe authors analyzed the usefulness of Magnetic resonance texture analysis (MRTA) in predicting outcomes of patients with recurrent glioblastoma treated with bevacizumab. MRTA is a radiomics approach that aims to quantify macroscopic tissue heterogeneity by analyzing various parameters based on the distribution of pixel values. MRTA have been associated with glioma grade, molecular status, treatment response, and survival. In this study, they suggested that MRTA helps predict survival in patients with recurrent glioblastoma treated with bevacizumabMDPI (Multidisciplinary Digital Publishing Institute)2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionpeer-reviewedapplication/pdfhttp://hdl.handle.net/10256/23058http://hdl.handle.net/10256/23058Cancers, 2023, vol. 15, núm. 11, p. 3026Articles publicats (D-IMAE)Lopez-Rueda, Antonio Puig Alcántara, Josep Thió i Fernández de Henestrosa, Santiag Moreno-Negrete, Javier Luis Zwanzger, Christian Pujol, Teresa Aldeco, Iban Pineda, Estela Valduvieco, Izaskun González, José Juan Oleaga, Laura 2023 Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma Cancers 15 11 3026reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/semantics/altIdentifier/doi/10.3390/cancers15113026info:eu-repo/semantics/altIdentifier/eissn/2072-6694Attribution 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10256/230582026-05-29T05:05:01Z
dc.title.none.fl_str_mv Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma
title Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma
spellingShingle Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma
Lopez-Rueda, Antonio
Marcadors tumorals
Tumor markers
Glioblastoma multiforme
Glioblastoma multiforme
title_short Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma
title_full Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma
title_fullStr Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma
title_full_unstemmed Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma
title_sort Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma
dc.creator.none.fl_str_mv Lopez-Rueda, Antonio
Puig Alcántara, Josep
Thió i Fernández de Henestrosa, Santiago
Moreno-Negrete, Javier Luis
Zwanzger, Christian
Pujol, Teresa
Aldeco, Iban
Pineda, Estela
Valduvieco, Izaskun
González, José Juan
Oleaga, Laura
author Lopez-Rueda, Antonio
author_facet Lopez-Rueda, Antonio
Puig Alcántara, Josep
Thió i Fernández de Henestrosa, Santiago
Moreno-Negrete, Javier Luis
Zwanzger, Christian
Pujol, Teresa
Aldeco, Iban
Pineda, Estela
Valduvieco, Izaskun
González, José Juan
Oleaga, Laura
author_role author
author2 Puig Alcántara, Josep
Thió i Fernández de Henestrosa, Santiago
Moreno-Negrete, Javier Luis
Zwanzger, Christian
Pujol, Teresa
Aldeco, Iban
Pineda, Estela
Valduvieco, Izaskun
González, José Juan
Oleaga, Laura
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Marcadors tumorals
Tumor markers
Glioblastoma multiforme
Glioblastoma multiforme
topic Marcadors tumorals
Tumor markers
Glioblastoma multiforme
Glioblastoma multiforme
description The authors analyzed the usefulness of Magnetic resonance texture analysis (MRTA) in predicting outcomes of patients with recurrent glioblastoma treated with bevacizumab. MRTA is a radiomics approach that aims to quantify macroscopic tissue heterogeneity by analyzing various parameters based on the distribution of pixel values. MRTA have been associated with glioma grade, molecular status, treatment response, and survival. In this study, they suggested that MRTA helps predict survival in patients with recurrent glioblastoma treated with bevacizumab
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
peer-reviewed
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10256/23058
http://hdl.handle.net/10256/23058
url http://hdl.handle.net/10256/23058
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/cancers15113026
info:eu-repo/semantics/altIdentifier/eissn/2072-6694
dc.rights.none.fl_str_mv Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI (Multidisciplinary Digital Publishing Institute)
publisher.none.fl_str_mv MDPI (Multidisciplinary Digital Publishing Institute)
dc.source.none.fl_str_mv Cancers, 2023, vol. 15, núm. 11, p. 3026
Articles publicats (D-IMAE)
Lopez-Rueda, Antonio Puig Alcántara, Josep Thió i Fernández de Henestrosa, Santiag Moreno-Negrete, Javier Luis Zwanzger, Christian Pujol, Teresa Aldeco, Iban Pineda, Estela Valduvieco, Izaskun González, José Juan Oleaga, Laura 2023 Texture analysis of the apparent diffusion coefficient focused on contrast-enhancing lesions in predicting survival for Bevacizumab-treated patients with recurrent Glioblastoma Cancers 15 11 3026
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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