Journal Article Research Support, Non-U.S. Gov't Epublish 3 citations
PubMed: 36709217 DOI: 10.1038/s41598-023-28643-8
Developing a metabolic clearance rate framework as a translational analysis approach for hyperpolarized 13C magnetic resonance imaging.
Sci Rep 13(1):1613
Authors: James T Grist, Nikolaj Bøgh, Esben Søvsø Hansen, Anna M Schneider, Richard Healicon, Vicky Ball, Jack J J J Miller, Sean Smart, Yvonne Couch, Alastair M Buchan, Damian J Tyler, Christoffer Laustsen
Affiliations
- 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.
- Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
- Department of Clinical Medicine, MR Research Centre, Aarhus University, Aarhus, Denmark.
- Aarhus University Hospital, MR Center, Palle Juul Jensens Boulevard 99, 8200, Aarhus N, Denmark.
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 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.
MeSH
Magnetic Resonance Imaging, Brain, Metabolic Clearance Rate