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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Detalles Bibliográficos
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
Descripción
Sumario: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

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