Pulse sequence considerations for quantification of pyruvate‐to‐lactate conversion kPL in hyperpolarized 13C imaging

Hyperpolarized 13C MRI takes advantage of the unprecedented 50 000‐fold signal‐to‐noise ratio enhancement to interrogate cancer metabolism in patients and animals. It can measure the pyruvate‐to‐lactate conversion rate, kPL, a metabolic biomarker of cancer aggressiveness and progression. Therefore,...

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Veröffentlicht in:NMR in biomedicine 2019-03, Vol.32 (3), p.e4052-n/a
Hauptverfasser: Chen, Hsin‐Yu, Gordon, Jeremy W., Bok, Robert A., Cao, Peng, Morze, Cornelius, Criekinge, Mark, Milshteyn, Eugene, Carvajal, Lucas, Hurd, Ralph E., Kurhanewicz, John, Vigneron, Daniel B., Larson, Peder E.Z.
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Sprache:eng
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Zusammenfassung:Hyperpolarized 13C MRI takes advantage of the unprecedented 50 000‐fold signal‐to‐noise ratio enhancement to interrogate cancer metabolism in patients and animals. It can measure the pyruvate‐to‐lactate conversion rate, kPL, a metabolic biomarker of cancer aggressiveness and progression. Therefore, it is crucial to evaluate kPL reliably. In this study, three sequence components and parameters that modulate kPL estimation were identified and investigated in model simulations and through in vivo animal studies using several specifically designed pulse sequences. These factors included a magnetization spoiling effect due to RF pulses, a crusher gradient‐induced flow suppression, and intrinsic image weightings due to relaxation. Simulation showed that the RF‐induced magnetization spoiling can be substantially improved using an inputless kPL fitting. In vivo studies found a significantly higher apparent kPL with an additional gradient that leads to flow suppression (kPL,FID‐Delay,Crush/kPL,FID‐Delay = 1.37 ± 0.33, P 
ISSN:0952-3480
1099-1492
DOI:10.1002/nbm.4052