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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