Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
465-01-008 ISMRM Abstract

An integrated HP [¹³C,¹⁵N₂]Urea + [1-¹³C]Pyruvate MRI Approach for Measuring Human BBB Integrity and Cerebral Metabolism

Accepted
Yaewon Kim1, Hsin-Yu Chen1, Minjie Zhu 1, Duy Dang1, James Slater1, Charlie Wang1, Jeremy W Gordon1, Chris Suszczynski2, Sri Maddali2, Adam Gaunt3, Rui Chen3, Javier Villanueva-Meyer1, Duan Xu1, Peder Larson1, Robert Bok1, Susan Chang4, Dan Vigneron1,4
1Department of Radiology and Biomedical Imaging, University Of California, San Francisco (UCSF), United States of America
2MilliporeSigma, Merck KGaA, Miamisburg, United States of America
3General Electric Healthcare, Boston, United States of America
4Department of Neurological Surgery, University Of California, San Francisco (UCSF), United States of America
Presenting Author: Minjie Zhu

Synopsis

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References

1. French SR, Meyer BP, Arias JC, Levendovzsky SR, Weinkauf CC. Biomarkers of blood–brain barrier and neurovascular unit integrity in human cognitive impairment and dementia. Alzheimer’s & Dementia. 2025;21(3):e70104. doi:10.1002/alz.70104 [doi]
2. Hussain B, Fang C, Chang J. Blood–Brain Barrier Breakdown: An Emerging Biomarker of Cognitive Impairment in Normal Aging and Dementia. Front Neurosci. 2021;15:688090. doi:10.3389/fnins.2021.688090 [doi]
3. Bowman GL, Dayon L, Kirkland R, et al. Blood‐brain barrier breakdown, neuroinflammation, and cognitive decline in older adults. Alzheimer’s & Dementia. 2018;14(12):1640-1650. doi:10.1016/j.jalz.2018.06.2857 [doi]
4. Sourbron SP, Buckley DL. Classic models for dynamic contrast‐enhanced MRI. NMR in Biomedicine. 2013;26(8):1004-1027. doi:10.1002/nbm.2940 [doi]
5. McDonald RJ, McDonald JS, Kallmes DF, et al. Gadolinium Deposition in Human Brain Tissues after Contrast-enhanced MR Imaging in Adult Patients without Intracranial Abnormalities. Radiology. 2017;285(2):546-554. doi:10.1148/radiol.2017161595 [doi]
6. Wang ZJ, Ohliger MA, Larson PEZ, et al. Hyperpolarized 13C MRI: State of the Art and Future Directions. Radiology. 2019;291(2):273-284. doi:10.1148/radiol.2019182391 [doi]
7. von Morze C, Larson PEZ, Hu S, et al. Imaging of blood flow using hyperpolarized [13C]Urea in preclinical cancer models. J Magn Reson Imaging. 2011;33(3):692-697. doi:10.1002/jmri.22484 [doi]
8. Von Morze C, Larson PEZ, Hu S, et al. Investigating tumor perfusion and metabolism using multiple hyperpolarized 13C compounds: HP001, pyruvate and urea. Magnetic Resonance Imaging. 2012;30(3):305-311. doi:10.1016/j.mri.2011.09.026 [doi]
9. Kim Y. Translation of hyperpolarized [13C,15N2]urea MRI for novel human brain perfusion studies. npj Imaging. 2025;3(11). doi:10.1038/s44303-025-00073-3 [doi]
10. Gordon JW, Autry AW, Tang S, et al. A variable resolution approach for improved acquisition of hyperpolarized 13C metabolic MRI. Magn Reson Med. 2020;84(6):2943-2952. doi:10.1002/mrm.28421 [doi]
11. Liu X, Tang S, Mu C, et al. Development of specialized magnetic resonance acquisition techniques for human hyperpolarized [13C,15N2]urea + [1‐13C]pyruvate simultaneous perfusion and metabolic imaging. Magnetic Resonance in Med. 2022;88(3):1039-1054. doi:10.1002/mrm.29266 [doi]
12. Grist JT, McLean MA, Riemer F, et al. Quantifying normal human brain metabolism using hyperpolarized [1–13C]pyruvate and magnetic resonance imaging. NeuroImage. 2019;189:171-179. doi:10.1016/j.neuroimage.2019.01.027 [doi]

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