From Anatomy to Outcome: Linking Glioma Location Patterns to Survival Using Non-Negative Matrix Factorization

Continuous spatial phenotyping of IDH-wildtype gliomas using NMF captures prognostically relevant information not reflected by conventional markers. Integration of spatial patterns into prognostic models enhances risk stratification and supports the incorporation of detailed spatial analyses into radiologic workflows.

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Publication Details

Journal
Clinical Neuroradiology
Published
2026-03-27
DOI
https://doi.org/10.1007/s00062-026-01642-8
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

From Anatomy to Outcome: Linking Glioma Location Patterns to Survival Using Non-Negative Matrix Factorization

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Clinical Neuroradiology
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From Anatomy to Outcome: Linking Glioma Location Patterns to Survival Using Non-Negative Matrix Factorization

Jessica Jesser, Tim Hilgenfeld, Julius M. Kernbach, Irada Pflüger, Haidar Alzaid, Marianne Schell, Sandro M. Krieg, Martha Folty-Dumitru, Wolfgang Wick, Joel Kohler, Felix Sahm, Katharina Schregel, Martin Bendszus
article en

Abstract

Continuous spatial phenotyping of IDH-wildtype gliomas using NMF captures prognostically relevant information not reflected by conventional markers. Integration of spatial patterns into prognostic models enhances risk stratification and supports the incorporation of detailed spatial analyses into radiologic workflows.

Clinical Neuroradiology
German Cancer Research Center (DE), Heidelberg University (DE), University Hospital Bonn (DE), University Hospital Heidelberg (DE)
Reduced inequalities
Openalex Percentile: Top 6%
Glioma Diagnosis and Treatment
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