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Abstract #3043

A Preliminary Framework for Validation of HP MRI using Mass Spectrometry

James A. Bankson1, Keith A. Michel1, Christopher M. Walker1, Yunyun Chen2, Jorge Delacerda1, Charles Kingsley1, Philip L. Lorenzi3, Lin Tan3, and Stephen Y. Lai2

1Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, TX, United States, 2Department of Head & Neck Surgery, UT MD Anderson Cancer Center, Houston, TX, United States, 3Department of Bioinformatics & Computational Biology, UT MD Anderson Cancer Center, Houston, TX, United States

Dynamic imaging of HP pyruvate shows tremendous promise for offering new insight into tumor metabolism with unprecedented sensitivity, specificity, and spatiotemporal resolution. Imaging constraints due to the finite, nonstationary, and non-renewable signal pool necessitate the use of complex imaging and reconstruction strategies, but current approaches to validation of complex HP MRI measurements are lacking and new methods are critically needed. In this work, we investigate a framework for external validation of quantitative HP MRI biomarkers of tumor metabolism using stable isotope tracer analysis (MS-SITA). We show good agreement between quantitative biomarkers of chemical conversion derived from HP MRI and MS-SITA.

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