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Developing a metabolic clearance rate framework as a translational analysis approach for hyperpolarized 13C magnetic resonance imaging.


ABSTRACT: Hyperpolarized carbon-13 magnetic resonance imaging is a promising technique for in vivo metabolic interrogation of alterations between health and disease. This study introduces a formalism for quantifying the metabolic information in hyperpolarized imaging. This study investigated a novel perfusion formalism and metabolic clearance rate (MCR) model in pre-clinical stroke and in the healthy human brain. Simulations showed that the proposed model was robust to perturbations in T1, transmit B1, and kPL. A significant difference in ipsilateral vs contralateral pyruvate derived cerebral blood flow (CBF) was detected in rats (140 ± 2 vs 89 ± 6 mL/100 g/min, p < 0.01, respectively) and pigs (139 ± 12 vs 95 ± 5 mL/100 g/min, p = 0.04, respectively), along with an increase in fractional metabolism (26 ± 5 vs 4 ± 2%, p < 0.01, respectively) in the rodent brain. In addition, a significant increase in ipsilateral vs contralateral MCR (0.034 ± 0.007 vs 0.017 ± 0.02/s, p = 0.03, respectively) and a decrease in mean transit time (31 ± 8 vs 60 ± 2 s, p = 0.04, respectively) was observed in the porcine brain. In conclusion, MCR mapping is a simple and robust approach to the post-processing of hyperpolarized magnetic resonance imaging.

SUBMITTER: Grist JT 

PROVIDER: S-EPMC9884306 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Developing a metabolic clearance rate framework as a translational analysis approach for hyperpolarized &lt;sup&gt;13&lt;/sup&gt;C magnetic resonance imaging.

Grist James T JT   Bøgh Nikolaj N   Hansen Esben Søvsø ES   Schneider Anna M AM   Healicon Richard R   Ball Vicky V   Miller Jack J J J JJJJ   Smart Sean S   Couch Yvonne Y   Buchan Alastair M AM   Tyler Damian J DJ   Laustsen Christoffer C  

Scientific reports 20230128 1


Hyperpolarized carbon-13 magnetic resonance imaging is a promising technique for in vivo metabolic interrogation of alterations between health and disease. This study introduces a formalism for quantifying the metabolic information in hyperpolarized imaging. This study investigated a novel perfusion formalism and metabolic clearance rate (MCR) model in pre-clinical stroke and in the healthy human brain. Simulations showed that the proposed model was robust to perturbations in T<sub>1</sub>, tran  ...[more]

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