Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
460-02-015 Registered Abstract

Quantitative 7T Deuterium Metabolic Imaging for Assessing Glucose Metabolism in Alzheimer’s Disease

Accepted
Masha Novoselova 1,2, Jabrane Karkouri1,2, Orsolya Vittay3, John O'Brien4, Joshua D Kaggie5, Tomasz Matys3,5, James B Rowe2, Chris Rodgers1,2
1Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom
2Department of clinical neurosciences, University of Cambridge, Cambridge, United Kingdom
3Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
4Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
5Department of Radiology, University of Cambridge, Cambridge, United Kingdom
Presenting Author: Masha Novoselova

Synopsis

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References

1. Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., & Kuhl, D. E. (1997). Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease. Annals of neurology, 42(1), 85–94. https://doi.org/10.1002/ana.410420114 [doi]
2. de Graaf, R. A., Hendriks, A. D., Klomp, D. W. J., Kumaragamage, C., Welting, D., Arteaga de Castro, C. S., Brown, P. B., McIntyre, S., Nixon, T. W., Prompers, J. J., & De Feyter, H. M. (2020). On the magnetic field dependence of deuterium metabolic imaging. NMR in biomedicine, 33(3), e4235. https://doi.org/10.1002/nbm.4235 [doi]
3. Kreis, F., Wright, A. J., Hesse, F., Fala, M., Hu, D. E., & Brindle, K. M. (2020). Measuring Tumor Glycolytic Flux in Vivo by Using Fast Deuterium MRI. Radiology, 294(2), 289–296. https://doi.org/10.1148/radiol.2019191242 [doi]
4. Karkouri, J., Novoselova, M., Miller, S., Zhang, M., Constantinou, A., Graf, C., Atkinson, D., Tramm, B., Schillak, S., Mair, R., Brindle, K., Rodgers, C. T. (2025). Absolute quantification of brain deuterium metabolic imaging in healthy volunteers and glioblastoma patients at 7T. medRxiv. https://doi.org/10.1101/2025.10.08.25337571 [doi]
5. Khan, A. S., Peterson, K. A., Vittay, O. I., McLean, M. A., Kaggie, J. D., O'Brien, J. T., Rowe, J. B., Gallagher, F. A., & Matys, T. (2024). Deuterium Metabolic Imaging of Alzheimer Disease at 3-T Magnetic Field Strength: A Pilot Case-Control Study. Radiology, 312(1), e232407. https://doi.org/10.1148/radiol.232407 [doi]
6. Purvis, L. A. B., Clarke, W. T., Biasiolli, L., Valkovič, L., Robson, M. D., & Rodgers, C. T. (2017). OXSA: An open-source magnetic resonance spectroscopy analysis toolbox in MATLAB. PloS one, 12(9), e0185356. https://doi.org/10.1371/journal.pone.0185356 [doi]
7. Vanhamme, L., van den Boogaart A, & Van Huffel S (1997). Improved method for accurate and efficient quantification of MRS data with use of prior knowledge. Journal of magnetic resonance (San Diego, Calif. : 1997), 129(1), 35–43. https://doi.org/10.1006/jmre.1997.1244 [doi]
8. Chen, Y., Wang, J., Cui, C., Su, Y., Jing, D., Wu, L., Liang, P., & Liang, Z. (2021). Evaluating the association between brain atrophy, hypometabolism, and cognitive decline in Alzheimer's disease: a PET/MRI study. Aging, 13(5), 7228–7246. https://doi.org/10.18632/aging.202580 [doi]
9. Sodré, M. E., Wießner, I., Irfan, M., Schenck, C. H., & Mota-Rolim, S. A. (2023). Awake or Sleeping? Maybe Both… A Review of Sleep-Related Dissociative States. Journal of clinical medicine, 12(12), 3876. https://doi.org/10.3390/jcm12123876 [doi]

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