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Abstract #3600

Intensity-Based Segmentation of Tumor on Multiparametric MRI to Aid Response Assessment of High-Grade Gliomas Treated with Immunoradiotherapy

Harshan Ravi1, Samuel H. Hawkins1,2, Olya Stringfield3, Malesa Pereira1,4,5, Heiko Enderling6,7, H-H Michael Yu7,8, John A. Arrington5,7, Solmaz Sahebjam7,9,10, and Natarajan Raghunand1,7
1Moffitt Cancer Center and Research Center, Tampa, FL, United States, 2Department of Computer Science, Bradley University, Peoria, IL, United States, 3Quantitative Imaging Core, Moffitt Cancer Center and Research Institute, Tampa,, FL, United States, 4Behavioral and Community Health Sciences,, LSU Health School of Public Health, New Orleans, LA, United States, 5Department of Radiology, Moffitt Cancer Center and Research Center, Tampa,, FL, United States, 6Department of Integrated Mathematical Oncology, Moffitt Cancer Center and Research Institute, Tampa,, FL, United States, 7Department of Oncologic Sciences, University of South Florida, Tampa, FL, United States, 8Department of Radiation Oncology, Moffitt Cancer Center and Research Center, Tampa,, FL, United States, 9National Cancer Institute, National Institutes of Health, Bethesda, MD, United States, 10Department of Neuro-Oncology, Moffitt Cancer Center and Research Center, Tampa,, FL, United States

Synopsis

Keywords: Segmentation, Machine Learning/Artificial Intelligence, Glioblastoma, immunotherapy, radiotherapyConfounding appearance of radiographic changes in recurrent high grade glioma (HGG) patients treated with multimodality immunotherapy presents a challenge to the neuro-radiologist. A clinical need exists to improve upon conventional criteria for assessment of GBM on standard-of-care (SOC; T1w, T2w, FLAIR, and T1w-enhanced) MRI to help distinguish treatment-related effects from true disease progression. We have investigated the feasibility of intensity-based segmentation of tumor tissue types on multiparametric MRI (mpMRI) to inform response assessment in HGG patients treated with bevacizumab, hypofractionated stereotactic radiotherapy, and pembrolizumab.

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