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Abstract #0038

Delta radiomics analysis of Magnetic Resonance guided radiotherapy imaging data for treatment response prediction in pancreatic cancer

Michal R Tomaszewski1, Kujtim Latifi2, Emanuel Boyer3, Russell F Palm3, Issam El Naqa4, Eduardo G Moros2, Sarah E Hoffe3, Stephen A Rosenberg3, Jessica M Frakes3, and Robert J Gillies1
1Cancer Physiology, H Lee Moffitt Cancer Center, Tampa, FL, United States, 2Medical Physics, H Lee Moffitt Cancer Center, Tampa, FL, United States, 3Radiation Oncology, H Lee Moffitt Cancer Center, Tampa, FL, United States, 4Machine Learning, H Lee Moffitt Cancer Center, Tampa, FL, United States

Synopsis

Magnetic Resonance Image guided Stereotactic body radiotherapy (MRgRT) is increasingly used in treatment of multiple cancers including pancreatic adenocarcinoma (PDAC). We hypothesized that quantitative analysis (radiomics) of the longitudinal MRgRT imaging during treatment can help predict response. MRgRT TrueFISP images from n=26 non-resectable PDAC patients were analyzed and image feature ratios last/first fraction quantified. Image normalization to kidney signal was validated and robustness of features assessed. Histogram skewness change demonstrated significant association with Progression Free Survival. This result shows promise for future application of the novel integrated framework for processing and quantification of MRgRT data presented here first time.

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Keywords