Keywords: White Matter, Multiple Sclerosis
Multiple sclerosis lesions have different types and stages that are challenging to distinguish by conventional MRI. We recently presented DEEPOLE QUASAR, a reconstruction technique that yields nonsusceptibility frequency maps as a novel MRI contrast. In this study, we translate the novel contrast into a tool for multiple sclerosis lesion assessment. We discuss the time course of nonsusceptibility frequency throughout different lesion stages. Within different paramagnetic rim lesions that are typically indistinguishable by conventional MRI, the nonsusceptibility frequency contrast showed hypo-, iso-, and hyperintense subtypes. At a 5-year follow-up, paramagnetic rims disappeared at significantly different proportions between these subtypes.Thomas Jochmann and Jack A. Reeves contributed equally.
The local Ethical Standards Committee approved the human experiments, and a written informed consent form was obtained.
The research was supported by the Free State of Thuringia within the ThiMEDOP project (2018 IZN 0004) with funds of the European Union (EFRE), the Free State of Thuringia within the thurAI project (2021 FGI 0008), the German Academic Exchange Service (DAAD PPP 57599925), and an ISMRM Research Exchange Grant awarded to T.J. Research reported in this publication was partially supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award Number R01NS114227 (F.S.) and the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR001412 (F.S.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
1. Schweser, F., Sommer, K., Deistung, A. & Reichenbach, J. R. Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain. NeuroImage 62, 2083–2100 (2012).
2. Schweser, F. & Zivadinov, R. Quantitative susceptibility mapping (QSM) with an extended physical model for MRI frequency contrast in the brain: a proof-of-concept of quantitative susceptibility and residual (QUASAR) mapping. NMR in Biomedicine 31, e3999 (2018).
3. Jochmann, T., Haueisen, J., Zivadinov, R. & Schweser, F. U2-Net for DEEPOLE QUASAR–A Physics-Informed Deep Convolutional Neural Network that Disentangles MRI Phase Contrast Mechanisms. (2019).
4. Shmueli, K., Dodd, S. J., Li, T.-Q. & Duyn, J. H. The contribution of chemical exchange to MRI frequency shifts in brain tissue. Magnetic Resonance in Medicine 65, 35–43 (2011).
5. Yablonskiy, D. A. & Sukstanskii, A. L. Effects of biological tissue structural anisotropy and anisotropy of magnetic susceptibility on the gradient echo MRI signal phase: theoretical background. NMR in Biomedicine 30, e3655 (2017).
6. Thompson, A. J. et al. Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. The Lancet Neurology 17, 162–173 (2018).
7. Jochmann, T. et al. Quantitative mapping of susceptibility and non-susceptibility frequency with DEEPOLE QUASAR. in International Society of Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting (2021).
8. Kuhlmann, T. et al. An updated histological classification system for multiple sclerosis lesions. Acta Neuropathol 133, 13–24 (2017).
9. Cadoux-Hudson, T. A. et al. Biochemical changes within a multiple sclerosis plaque in vivo. Journal of Neurology, Neurosurgery & Psychiatry 54, 1004–1006 (1991).
10. Yablonskiy, D. A., Luo, J., Sukstanskii, A. L., Iyer, A. & Cross, A. H. Biophysical mechanisms of MRI signal frequency contrast in multiple sclerosis. Proceedings of the National Academy of Sciences 109, 14212–14217 (2012).
11. Leutritz, T., Hilfert, L., Smalla, K.-H., Speck, O. & Zhong, K. Accurate quantification of water–macromolecule exchange induced frequency shift: Effects of reference substance. Magnetic Resonance in Medicine 69, 263–268 (2013).
12. Mougin, O., Clemence, M., Peters, A., Pitiot, A. & Gowland, P. High-resolution imaging of magnetisation transfer and nuclear Overhauser effect in the human visual cortex at 7 T. NMR in Biomedicine 26, 1508–1517 (2013).
13. Khlebnikov, V. et al. Is there any difference in Amide and NOE CEST effects between white and gray matter at 7T? Journal of Magnetic Resonance 272, 82–86 (2016).
14. Sartoretti, E. et al. Amide Proton Transfer Weighted Imaging Shows Differences in Multiple Sclerosis Lesions and White Matter Hyperintensities of Presumed Vascular Origin. Frontiers in Neurology 10, 1307 (2019).
15. Liepinsh, E. & Otting, G. Proton exchange rates from amino acid side chains— implications for image contrast. Magnetic Resonance in Medicine 35, 30–42 (1996).
16. Zhou, J., Payen, J.-F., Wilson, D. A., Traystman, R. J. & van Zijl, P. C. M. Using the amide proton signals of intracellular proteins and peptides to detect pH effects in MRI. Nat Med 9, 1085–1090 (2003).
17. Leeman, M., Choi, J., Hansson, S., Storm, M. U. & Nilsson, L. Proteins and antibodies in serum, plasma, and whole blood—size characterization using asymmetrical flow field-flow fractionation (AF4). Anal Bioanal Chem 410, 4867–4873 (2018).
18. Wuschek, A. et al. CSF Protein Concentration Shows No Correlation With Brain Volume Measures. Frontiers in Neurology 10, (2019).
19. Stadelmann, C., Timmler, S., Barrantes-Freer, A. & Simons, M. Myelin in the Central Nervous System: Structure, Function, and Pathology. Physiological Reviews 99, 1381–1431 (2019).
20. Mader, I. et al. Proton MR spectroscopy with metabolite-nulling reveals elevated macromolecules in acute multiple sclerosis. Brain 124, 953–961 (2001).
Fig. 1. DEEPOLE QUASAR maps nonsusceptibility frequency shifts, complementary to the magnetic susceptibility from quantitative susceptibility mapping (QSM). The assumed sources of magnetic susceptibility contrast are iron and myelin content. The assumed sources of nonsusceptibility frequencies are chemical exchange with proteins and lipids and tissue microstructure, particularly in the myelin sheaths.
Fig. 2. A) Schematic of the time courses of FLAIR intensities and T1 (without contrast agent) and hypothesized time courses of χ and fρ in MS lesions. After the initial rise together with χ, fρ decreases towards the inactive stage and even changes its sign. B) Staging system based in the nonsusceptibility frequency contrast, fρ: we classified lesions as hyperintense (fρ+), partially hyperintense or fully isointense (fρ=), and with hypointense contrast present (fρ-).
Fig. 3. Subtypes and 5-year disappearance proportions of paramagnetic rims. Error bars denote standard deviation. We found substantial numbers of each of the three classification categories, suggesting previously unobservable subtypes of paramagnetic rim lesions. PRLs with hypointense contrast present disappeared in significantly higher proportions than hyperintense lesions and partially hyperintense or fully isointense lesions. These observations suggest clinical potential for lesion staging and outcome prediction.