Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain.
IEEE transactions on medical imaging(2020)
摘要
Kinetic modeling of the
in vivo
pyruvate-to-lactate conversion is crucial to investigating aberrant cancer metabolism that demonstrates Warburg effect modifications. Non-invasive detection of alterations to metabolic flux might offer prognostic value and improve the monitoring of response to treatment. In this clinical research project, hyperpolarized [1–
13
C] pyruvate was intravenously injected in a total of 10 brain tumor patients to measure its rate of conversion to lactate (
${k}_{{\textit {PL}}}$
) and bicarbonate (
${k}_{{\textit {PB}}}$
) via echo-planar imaging. Our aim was to investigate new methods to provide
${k}_{{\textit {PL}}}$
and
${k}_{{\textit {PB}}}$
maps with whole-brain coverage. The approach was data-driven and addressed two main issues: selecting the optimal model for fitting our data and determining an appropriate goodness-of-fit metric. The statistical analysis suggested that an input-less model had the best agreement with the data. It was also found that selecting voxels based on post-fitting error criteria provided improved precision and wider spatial coverage compared to using signal-to-noise cutoffs alone.
更多查看译文
关键词
Brain cancer,dissolution dynamic nuclear polarization,hyperpolarized MRI,kinetic modeling,kPL,kPB,metabolic imaging
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要