Wavelet-Based Radiomics Analysis of Dynamic Contrast-Enhanced (DCE)-MR Information for Characterization of Acute Brain Tumor Response in Animal Model
H Bagher-Ebadian1,2, T Nagaraja1, G Cabral1, K Farmer1, O Valadie1, P Acharya2, B Movsas1, S Brown1, J Ewing1, I Chetty1*, (1) Henry Ford Health System, Detroit, MI, (2) Oakland University. Rochester, MI
Presentations
MO-E115-IePD-F6-2 (Monday, 7/11/2022) 1:15 PM - 1:45 PM [Eastern Time (GMT-4)]
Exhibit Hall | Forum 6
Purpose: Recent studies have shown that tumor heterogeneity plays a key role in response to treatment and can hinder the treatment efficacy. Decoding heterogeneity information of tumors and regional characterization of their radiation therapy (RT) response remains a major challenge. This study combines a physiological nested model selection (MS) technique with a novel wavelet-based spatiotemporal modeling of DCE-MRI information, enabling evaluation of the RT-affected regions in an animal model of cerebral U-251n tumors.
Methods: Twenty-three immune-compromised-RNU rats were implanted with human U251n cancer cells to form an orthotopic glioma (IACUC #1509). For each rat, 28 days after tumor implantation, two DCE-MRI studies (7T-Dual-Gradient-Echo, FOV:32x32mm2, TR/(TE1-TE2)=24ms/(2ms-4ms), flip-angle=18º, 400-acquisitions/1.55sec-interval, Magnevist/tail-vein) were performed 24h apart. A single 20Gy stereotactic-radiation exposure was performed before the second MRI (acquired 1-6.5 hours post-RT). DCE-MRI analysis was done using a model-selection technique to distinguish three brain regions: Normal vasculature (Model-1: No-leakage), leaky tumor tissues with no back-flux to vasculature (Model-2), and leaky tumor tissues with back-flux (Model-3). Normalized time-traces of DCE-MRI information (1st and 2nd echoes for pre, and post-RT cohorts) for three model regions were analyzed using a wavelet-based radiomics technique to characterize their time-frequency information before and after RT. For each model, the pre- and post-RT signal coherence level was estimated and compared to rank the effect of RT on different model regions and time-varying DCE-MRI raw data.
Results: Compared to the peritumoral tissues (Model-2 region with r=0.622, p<0.0001), the DCE-MRI information of rat brain in normal and highly permeable tissues (Models-1 and 3: r=0.650 with p<0.0001 and r=0.809 with p<0.0001, respectively) are less impacted by RT.
Conclusion: This study demonstrates an important step toward spatiotemporal characterization of RT-affected brain regions and the time-varying DCE-MR information, which can play a key role in treatment planning of cancer patients, optimization of imaging, and DCE-MRI pharmacokinetic analysis.
Funding Support, Disclosures, and Conflict of Interest: This work was supported in part by a grant from Varian Medical Systems (Palo Alto, CA) and NCI/NIH R01-CA218596.
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