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Abstract #0506

Multiparametric Advanced Fast Imaging (MAFI) to Characterize Tumor Habitat in Orthotopic Mouse Models of Pediatric Brain Tumors

Jenna L Steiner1, Angela M Pierce2, Andrea M Griesinger2, Bethany L Veo2, Aaron Knox2, Nathan Dahl3, Adam Green3, Nicholas K Foreman3, Rajeev Vibhakar3, and Natalie J Serkova1

1Radiology, University of Colorado Denver, Aurora, CO, United States, 2University of Colorado Denver, Aurora, CO, United States, 3Neurooncology, Children's Hospital Colorado, Aurora, CO, United States

Brain tumors are the second most common malignancy in childhood (exceeded only by leukemia). Clinically, multiparametric MRI is now considered to be the neuroimaging standard for detecting brain tumors. Pediatric brain tumors have a diverse array of clinical manifestations, cellular and molecular phenotypes, and tumor habitats. There is an unmet need to develop human-faithful pediatric mouse models and fast high-resolution physiological MRI for their detection and characterization. Here, we report on a non-gadolinium, Multiparametric Advanced Fast Imaging (MAFI) approach followed by radiomics analysis to detect, characterize and differentiate three distinct brain tumor subtypes in mouse patient-derived xenograft (PDX) models.

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