Keywords: Tumors (Pre-Treatment), Tumor, glioma, neuro-oncology
Motivation: Glioblastoma (GBM), a highly lethal brain tumor, poses a significant threat to patient survival, even after gross total resection (GTR).
Goal(s): This study explored whether radio-pathomic features from autopsy-trained models could predict survival in GTR-treated GBM patients.
Approach: The relationship between cell density and tumor probability (TPM) beyond the FLAIR hyperintense (FH) region, as well as a habitat-based labeling within FH was investigated. Cox regressions evaluated the impact of habitat volume and radio-pathomic characteristics within FH on survival.
Results: The study revealed that radio-pathomic features of FH predicted overall survival, suggesting the ability to identify infiltrative tumor ultimately missed by surgery.
Impact: In GTR-treated GBM patients, the presence of infiltrative tumor cells within and beyond FLAIR hyperintensity may predict patient prognosis and could be used for optimizing treatment.
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