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From anatomy to outcome: linking glioma location patterns to survival using non-negative matrix factorization

The anatomical distribution of IDH-wildtype gliomas may encode prognostic information not captured by conventional clinical or molecular markers. The purpose of this study was to determine whether continuous, data-driven spatial patterns of tumor involvement provide prognostic value beyond establish...

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Autori principali: Schell, Marianne (Autore) , Kohler, Joel (Autore) , Foltyn-Dumitru, Martha (Autore) , Alzaid, Haidar (Autore) , Pflüger, Irada (Autore) , Schregel, Katharina (Autore) , Hilgenfeld, Tim (Autore) , Kernbach, Julius (Autore) , Krieg, Sandro (Autore) , Sahm, Felix (Autore) , Wick, Wolfgang (Autore) , Bendszus, Martin (Autore) , Jesser, Jessica (Autore)
Natura: Article (Journal)
Lingua:inglese
Pubblicazione: 27 March 2026
In: Clinical neuroradiology
Year: 2026, Pages: [1-10]
ISSN:1869-1447
DOI:10.1007/s00062-026-01642-8
Accesso online:Resolving-System, kostenfrei, Volltext: https://doi.org/10.1007/s00062-026-01642-8
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00062-026-01642-8?utm_source=getftr&utm_medium=getftr&utm_campaign=getftr_pilot&getft_integrator=clarivate
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Note sull'autore:Marianne Schell, Joel Kohler, Martha Folty-Dumitru, Haidar Alzaid, Irada Pflüger, Katharina Schregel, Tim Hilgenfeld, Julius Kernbach, Sandro Krieg, Felix Sahm, Wolfgang Wick, Martin Bendszus, Jessica Jesser
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Riassunto:The anatomical distribution of IDH-wildtype gliomas may encode prognostic information not captured by conventional clinical or molecular markers. The purpose of this study was to determine whether continuous, data-driven spatial patterns of tumor involvement provide prognostic value beyond established clinical and molecular factors.
Descrizione del documento:Gesehen am 03.06.2026
Descrizione fisica:Online Resource
ISSN:1869-1447
DOI:10.1007/s00062-026-01642-8

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