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Abstract #4847

Radiomics of MRI at Diagnosis is Predictive of Extreme Survival in Glioblastoma Multiforme

Olya Stringfield1,2, Mahmoud Abdalah1,2, Sandra Johnston3,4, Nicolas Rognin2, Yoganand Balagurunathan2, John Arrington5, Kristin Swanson3, Kathleen M. Egan6, Robert A. Gatenby5, and Natarajan Raghunand2

1Image Response Assessment Team Core, Moffitt Cancer Center, Tampa, FL, United States, 2Department of Cancer Imaging & Metabolism, Moffitt Cancer Center, Tampa, FL, United States, 3Department of Neurologic Surgery, Mayo Clinic, Phoenix, AZ, United States, 4Department of Radiology, University of Washington, Seattle, WA, United States, 5Department of Diagnostic & Interventional Radiology, Moffitt Cancer Center, Tampa, FL, United States, 6Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, United States

We retrospectively analyzed pre-treatment MR scans in two cohorts diagnosed with Glioblastoma. The Long-Term Survival (LTS) group survived >36 months post-diagnosis, while the Short-Term Survival (STS) group survived ≤18 months. The discovery cohort included 22 LTS patients and 22 STS patients and the validation cohort consisted of 15 patients, each. Tumor voxels were clustered on post-contrast T1w and FLAIR sequences into 6 distinct “habitats”. Radiomic features were extracted from both sequences. The enhancement value on T1w and fraction of Habitat 6 (high signal on T1w and FLAIR) were significantly higher in the LTS groups compared to the STS groups.

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