Predicting the true extent of glioblastoma based on probabilistic tractography.

Kis, David; Szivos, Laszlo; Rekecki, Mark; Shukir, Bayan Salam; Mate, Adrienn; Hideghety, Katalin; Barzo, Pal

Kis, David; Szivos, Laszlo; Rekecki, Mark; Shukir, Bayan Salam; Mate, Adrienn; Hideghety, Katalin; Barzo, Pal.

Afiliação

Kis D; Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Szivos L; Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Rekecki M; Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Shukir BS; Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Mate A; Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Hideghety K; Department of Oncology, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Barzo P; Department of Neurosurgery, Faculty of Medicine, University of Szeged, Szeged, Hungary.

Front Neurosci ; 16: 886465, 2022.

Article em En | MEDLINE | ID: mdl-36213748

Palavras-chave

extended survival; glioblastoma; infiltration; probabilistic tractography; tumor recurrence

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Hungria País de publicação: Suíça

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