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Abstract #2753

Dynamic Contrast Enhanced MR Wavelet-Based Radiomics Analysis for Characterization of Tumor Heterogeneity of Rat Brain Tumors

Hassan Bagher-Ebadian1, Stephen Brown1, Olivia Valadie1, Julian A Rey2, Malisa Sarntinoranont2, James R Ewing3, and Indrin J Chetty1
1Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, United States, 2Department of Mechanical & Aerospace Engineering, University of Florida, Gainesville, FL, United States, 3Neurology, Henry Ford Cancer Institute, Detroit, MI, United States


Wavelet-analysis of DCE-MR images was performed to explore the association between radiomics information and relaxivity-change (ΔR1) in human U251n tumors grown in rat brains. Sixteen DCE-MRI experiments (8 rats before- and after- radiation) were studied. Wavelet-decomposition analysis was performed using ΔR1 time trace. Frequency-based localized approximations of ΔR1 with four degrees of regularities were estimated and compared to the volume-transfer-constant (Ktrans, calculated from a modified Tofts-model pharmacokinetic analysis). Results confirm strong associations between wavelet-based radiomic information and contrast uptake/flow/leakage in the tumor vasculature. Results suggest that radiomics has potential as a biomarker of tumor physiology.

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