Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma

Multicenter study demonstrates radiomic features derived from magnetic resonance perfusion images identify pseudoprogression in glioblastoma

MRI scans of glioblastoma patients can be misleading and some patients appear to show features of progressive disease although they respond to treatment. Here, the authors use MRI images of progressive disease or pseudoprogression and build a classifier using machine learning to distinguish the two.

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Detalles Bibliográficos
Autores principales: Nabil Elshafeey, Aikaterini Kotrotsou, Ahmed Hassan, Nancy Elshafei, Islam Hassan, Sara Ahmed, Srishti Abrol, Anand Agarwal, Kamel El Salek, Samuel Bergamaschi, Jay Acharya, Fanny E. Moron, Meng Law, Gregory N. Fuller, Jason T. Huse, Pascal O. Zinn, Rivka R. Colen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
Materias:
Science
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Acceso en línea:https://doaj.org/article/0f699f411a7a415ba931b96a4f10beda
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Descripción
Sumario:MRI scans of glioblastoma patients can be misleading and some patients appear to show features of progressive disease although they respond to treatment. Here, the authors use MRI images of progressive disease or pseudoprogression and build a classifier using machine learning to distinguish the two.

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