Radiomic Consensus Clustering in Glioblastoma and Association with Gene Expression Profiles

Abstract excerpt

BACKGROUND/OBJECTIVES: Glioblastoma (GBM) is the most common malignant primary central nervous system tumor with extremely poor prognosis and survival outcomes. Non-invasive methods like radiomic feature extraction, which assess sub-visual imaging features, provide a potentially powerful tool for distinguishing molecular profiles across groups of patients with GBM. Using consensus clustering of MRI-based radiomic...

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