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Abstract #2460

Association of geometric features with genetic markers in glioblastoma multiforme

Adam Hasse1, Mark Dapash2, Yong Jeong3, Star Su4, Abrianna Cummings4, Sameer Ansari5, Daniel Ginat6, and Timothy J Carroll6

1Graduate Program in Medical Physics, University of Chicago, Chicago, IL, United States, 2Pritzker School of Medicine, University of Chicago, Chicago, IL, United States, 3Department of Biomedical Engineering, Northwestern University, Evanston, IL, United States, 4MedIx REU Program, Depaul University, Chicago, IL, United States, 5Department of Radiology, Northwestern University, Chicago, IL, United States, 6Department of Radiology, University of Chicago, Chicago, IL, United States

A data analysis pipeline was developed to study relationships between geometric imaging features and the underlying tumor phenotype. This pipeline was run on the tumors of 203 patients clinically diagnosed with glioblastoma multiforme. For each tumor, the tumor bulk and percent non-enhancing volume was calculated, along with the surface regularity of any tumor with a 3D T1-weighted post-contrast MR scan. These features were compared to the expression of P53 and Ki67 sampled from these tumors. Although there were significant differences between multiple features for both genes, only the surface regularity was a significant predictor of Ki-67 proliferative index.

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