Radiogenomic modeling predicts survival-associated prognostic groups in glioblastoma.

Nuechterlein, Nicholas; Li, Beibin; Feroze, Abdullah; Holland, Eric C; Shapiro, Linda; Haynor, David; Fink, James; Cimino, Patrick J

Nuechterlein, Nicholas; Li, Beibin; Feroze, Abdullah; Holland, Eric C; Shapiro, Linda; Haynor, David; Fink, James; Cimino, Patrick J.

Afiliación

Nuechterlein N; Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Li B; Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Feroze A; Department of Neurological Surgery, University of Washington, Seattle, Washington, USA.
Holland EC; Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Shapiro L; Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Haynor D; Department of Radiology, University of Washington, Seattle, Washington, USA.
Fink J; Department of Radiology, University of Washington, Seattle, Washington, USA.
Cimino PJ; Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.

Neurooncol Adv ; 3(1): vdab004, 2021.

Article en En | MEDLINE | ID: mdl-33615222

Palabras clave

MRI; biomarkers; copy number alterations; glioblastoma; radiogenomics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neurooncol Adv Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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