Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
404-02-009 / 271-01-018 ISMRM Abstract

Deuterium metabolic imaging for assessing response to chemoradiotherapy in high grade glioma: a multisite study

Accepted
Alixander S Khan 1,2, Otso Arponen2, Giorgia Carnicelli2, Ines Horvat-Menih2, Nikolaj Bøgh1, Maria J Zamora Morales2, Esben S Hansen1, Ashley Grimmer2, Elizabeth Latimer2, Nichlas Vous Christensen1, Michael Væggemose1, Uffe Kjærgaard1, Sebastian Bauer2, Jonathan Birchall2, Joshua D Kaggie2, Rolf F Schulte3, Anders Vittrup4, Ane B Iversen4, Matthew Locke2, Marta Wylot2, Fiona Harris5, Tomasz Matys2, Raj Jena5, Slávka Lukacova4, Mary A McLean2, Christoffer Laustsen1, Ferdia Gallagher2
1MR Research Centre, Aarhus University, Aarhus, Denmark
2Department of Radiology, University of Cambridge, Cambridge, United Kingdom
3GE Healthcare, Munich, Germany
4Department of Oncology, Aarhus University, Aarhus, Denmark
5Department of Oncology, University of Cambridge, Cambridge, United Kingdom
Presenting Author: Alixander S Khan

Synopsis

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References

1. Wen, P.Y., van den Bent, M., Vogelbaum, M.A. and Chang, S.M., 2024. RANO 2.0: The revised Re-sponse Assessment in Neuro-Oncology (RANO) criteria for high-and low-grade glial tumors in adults designed for the future. Neuro-oncology, 26(1), pp.2-4.
2. De Feyter, H.M., Behar, K.L., Corbin, Z.A., Fulbright, R.K., Brown, P.B., McIntyre, S., Nixon, T.W., Rothman, D.L. and de Graaf, R.A., 2018. Deuterium metabolic imaging (DMI) for MRI-based 3D mapping of metabolism in vivo. Science advances, 4(8), p.eaat7314.
3. Ahmadian, N., Gosselink, M., Otto, S., Welting, D., Tesselaar, K., Snijders, T., van Eijsden, P., Promp-ers, J., Klomp, D. and Wiegers, E., 2025. Dynamic deuterium metabolic imaging in glioblastoma at 7T. Magnetic Resonance Materials in Physics, Biology and Medicine, pp.1-11.
4. Low, J.C., Cao, J., Hesse, F., Wright, A.J., Tsyben, A., Alshamleh, I., Mair, R. and Brindle, K.M., 2024. Deuterium metabolic imaging differentiates glioblastoma metabolic subtypes and detects early re-sponse to chemoradiotherapy. Cancer Research, 84(12), pp.1996-2008.
5. Purvis, L.A., Clarke, W.T., Biasiolli, L., Valkovič, L., Robson, M.D. and Rodgers, C.T., 2017. OXSA: an open-source magnetic resonance spectroscopy analysis toolbox in MATLAB. PloS one, 12(9), p.e0185356.
6. Christensen NV, Vaeggemose M, Bøgh N, et al. A user independent denoising method for x‐nuclei MRI and MRS. Magnetic Resonance in Medicine. 2023;90(6):2539-2556.

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