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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