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...
| Autores: | , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Recursos: | 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 |
| Acesso em linha: | http://hdl.handle.net/10256/23058 |
| Access Level: | acceso abierto |
| Palavra-chave: | Marcadors tumorals Tumor markers Glioblastoma multiforme |
| Resumo: | 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 |
|---|