Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
367-05-001 ISMRM Abstract

Predicting long-term changes in clinical disability with short-term myelin water fraction measurements in multiple sclerosis

Accepted
Irene M Vavasour 1,2, Olivia Kalau3, Poljanka Johnson4, Sarah Morrow5, Roger Tam1,6, Cornelia Laule1,2,7,8, Alex L MacKay1,7, David Li1,9, Anthony Traboulsee3, Shannon Kolind1,2,3,7
1Radiology, University of British Columbia, Vancouver, Canada
2International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, Canada
3Medicine (Neurology), University of British Columbia, Vancouver, Canada
4Neuroscience, University of British Columbia, Vancouver, Canada
5Department of Clinical Neuroscience, University of Calgary, Calgary, Canada
6School of Biomedical Engineering, University of British Columbia, Vancouver, Canada
7Physics and Astronomy, University of British Columbia, Vancouver, Canada
8Pathology & Laboratory Medicine, University of British Columbia, Vancouver, Canada
9Medicine, University of British Columbia, Vancouver, Canada
Presenting Author: Irene M Vavasour

Synopsis

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References

1. 1. Ebers GC, Heigenhauser L, Daumer M, Lederer C, Noseworthy JH. Disability as an outcome in MS clinical trials. Neurology. 2008 Aug 26;71(9):624-31. doi: 10.1212/01.wnl.0000313034.46883.16. Epub 2008 May 14. PMID: 18480462. [doi] [pmid]
2. 2. Kutzelnigg A, Lucchinetti CF, Stadelmann C, Bruck W, Rauschka H, Bergmann M, et al. Cortical demyelination and diffuse white matter injury in multiple sclerosis. Brain. 2005 Nov;128(Pt 11):2705–12. doi: 10.1093/brain/awh641. [doi]
3. 3. Abel S, Vavasour I, Lee LE, et al. Associations Between Findings From Myelin Water Imaging and Cognitive Performance Among Individuals With Multiple Sclerosis. JAMA Netw Open. 2020;3(9):e2014220. doi:10.1001/jamanetworkopen.2020.14220. [doi]
4. 4. Zhang J, Vavasour I, Kolind S, et al. Advanced Myelin Water Imaging Techniques for Rapid Data Acquisition and Long T2 Component Measurements. ISMRM 2015; p824.
5. 5. Doucette J, Kames C, Rauscher R. DECAES – DEcomposition and Component Analysis of Exponential Signals. Zeitschrift für Medizinische Physik, 2020;30:271-8. doi:10.1016/j.zemedi.2020.04.001. [doi]
6. 6. Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. FSL. Neuroimage. 2012 Aug 15;62(2):782-90. doi: 10.1016/j.neuroimage.2011.09.015. Epub 2011 Sep 16. PMID: 21979382. [doi] [pmid]
7. 7. McAusland J, Tam RC, Wong E, Riddehough A, Li DK. Optimizing the use of radiologist seed points for improved multiple sclerosis lesion segmentation. IEEE Trans Biomed Eng. 2010 Nov;57(11). doi: 10.1109/TBME.2010.2055865. PMID: 20601307. [doi] [pmid]
8. 8. Muñoz González G, T Hart BA, Bugiani M, Plemel JR, Schenk GJ, Kooij G, Luchicchi A. A focus on the normal-appearing white and gray matter within the multiple sclerosis brain: a link to smoldering progression. Acta Neuropathol. 2025 Aug 10;150(1):16. doi: 10.1007/s00401-025-02923-1. PMID: 40783892; PMCID: PMC12336099. [doi] [pmid]

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