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Abstract #3850

Analysis Methods for Human Hyperpolarized 13C-pyruvate Studies

Peder Eric Zufall Larson1, Hsin-Yu Chen1, Jeremy W. Gordon1, John Maidens2, Daniele Mammoli1, Mark Van Criekinge1, Robert Bok1, Rahul Aggarwal3, Marcus Ferrone4, James B. Slater1, John Kurhanewicz1, and Daniel B. Vigneron1

1Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, United States, 2Electrical Engineering and Computer Science, University of California - Berkeley, Berkeley, CA, United States, 3Medicine, University of California - San Francisco, San Francisco, CA, United States, 4Pharmacy, University of California - San Francisco, San Francisco, CA, United States

A major challenge for human Hyperpolarized 13C metabolic MRI is to develop informative, accurate and robust methods for measuring metabolic conversion, while accounting for a broad range of experimental characteristics and without gold-standard experiments for evaluating accuracy and precision. We present a simulation framework to evaluate analysis strategies and show that an “input-less” kPL fitting method is a promising approach for accurate and robust measurements of metabolism in human hyperpolarized 13C-pyruvate MRI. We evaluate this method in human prostate cancer studies, where we observed variability of ±5-10s in the bolus delivery that can lead to errors in other analysis methods.

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