Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI

SIMPLE SUMMARY: In this study, we developed a predictive model that employs data from multiparametric structural MRI to predict local recurrence in glioblastoma, providing a practical solution to an issue clinicians face in our daily practice: discriminating edema from tumor infiltration. Predicting...

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Detalles Bibliográficos
Autores principales: Cepeda, Santiago, Luppino, Luigi Tommaso, Pérez-Núñez, Angel, Solheim, Ole, García-García, Sergio, Velasco-Casares, María, Karlberg, Anna, Eikenes, Live, Sarabia, Rosario, Arrese, Ignacio, Zamora, Tomás, Gonzalez, Pedro, Jiménez-Roldán, Luis, Kuttner, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047582/
https://www.ncbi.nlm.nih.gov/pubmed/36980783
http://dx.doi.org/10.3390/cancers15061894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047582/
https://www.ncbi.nlm.nih.gov/pubmed/36980783
http://dx.doi.org/10.3390/cancers15061894

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