PROJECT TITLE :
Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain
Modeling pyruvate to lactate conversion in vivo is essential to understanding abnormal cancer metabolism that exhibits Warburg effect changes. The ability to identify changes in metabolic flux non-invasively could be useful for early diagnosis and better treatment response monitoring. Hyperpolarized [1- 13 C] pyruvate was given intravenously into 10 patients with brain tumours in order to determine the rate of lactate (k PL) and bicarbonate (k PB) conversion by echo-planar imaging in this clinical research endeavour. Our goal was to find novel ways to cover the entire brain in k PL and k PB maps. Data-driven analysis was used to pick the best model for fitting our data and to calculate an appropriate goodness-of-fit value for the model. According to the results of the statistical analysis, the best agreement with the data was found in an input-less model. When voxels were chosen based on post-fitting error criteria, greater precision and coverage were obtained than when signal-to-noise cutoffs were just used.
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