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Abstract #3932

Multiparametric Physiologic MR Imaging of Head and Neck Cancer: Imaging Biomarker for Tumor Hypoxia and Heterogeneity

Yoshimi Anzai1, John A Roberts2, Seong-Eun Kim2, Ying Hitchcock3, Richard Wiggins1, Nousheen Alasti2, and Eugene Kholmovski2
1Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2UCAIR, Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 3Radiation oncology, University of Utah, Salt Lake City, UT, United States

This prospective, single-arm, cohort patients study with a newly diagnosed head&neck cancer aims to demonstrate the feasibility of multiparametric MRI to reveal tumor hypoxia and treatment failure. Although tumor hypoxia is a critical physiologic feature related to treatment resistance and poor outcomes, effective imaging technology to detect the area of hypoxia in an individual patient is lacking. Incorporating multiparametric maps into cross-sectional imaging is critically essential for translating imaging information to radiation dose paining. We generated the composite color map incorporating oxygen-enhanced BOLD, ADC, and FDG-PET and correlated it with CRT response at 3 months, as a proof of concept.

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