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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