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

Autor: Grist JT; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.; Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK.; Department of Radiology, Oxford University Hospitals Trust, Oxford, UK.; Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK., Bøgh N; Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark., Hansen ES; Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark., Schneider AM; Radcliffe Department of Medicine, University of Oxford, Oxford, UK., Healicon R; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK., Ball V; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK., Miller JJJJ; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.; Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK.; Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark., Smart S; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Couch Y; Radcliffe Department of Medicine, University of Oxford, Oxford, UK., Buchan AM; Radcliffe Department of Medicine, University of Oxford, Oxford, UK., Tyler DJ; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.; Division of Cardiovascular Medicine, Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK., Laustsen C; Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark. cl@clin.au.dk.; Aarhus University Hospital, MR Center, Palle Juul Jensens Boulevard 99, 8200, Aarhus N, Denmark. cl@clin.au.dk.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Jan 28; Vol. 13 (1), pp. 1613. Date of Electronic Publication: 2023 Jan 28.
DOI: 10.1038/s41598-023-28643-8
Abstrakt: 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 1 , transmit B 1 , and k PL . 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.
(© 2023. The Author(s).)
Databáze: MEDLINE
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