Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
604-01-009 ISMRM Abstract

Quantifying patient-specific spinal cord morphometric abnormalities in degenerative cervical myelopathy

Primary: Neuro - Spinal Cord
Secondary: Analysis Methods - Classification and Prediction
604-01-009 · Advanced MRI Techniques for Spinal Cord Structure, Function, and Physiology · Thursday, 14 May, 8:30 AM–10:20 AM · Ballroom East
Keywords: Spinal Cord Normative modeling Spinal cord imaging Degenerative cervical myelopathy Spinal cord morphometry
Accepted
Merve Kaptan1, Sandrine Bédard 2,3, Augustijn A de Boer4,5, Yiyu Wang1, Christine S W Law1, Dario Pfyffer1, Anthony A Gatti6, John Ratliff7, Brian A Hargreaves6,8,9,10,11, Anand Veeravagu7, Hugo Decker12, Matthew Petterson13, Todd Alamin14, Yasin Dhaher15,16, Andrew Smith17, Joel Fundaun1, Gary H Glover6, Sean Mackey1, Benjamin De Leener18,19,20,21,22,23, Andre Marquand4,5,24, Julien Cohen-Adad18,25,26,27, Fauziyya Muhammad28, Zachary A Smith28, Kenneth Weber1
1Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, United States of America
2Polytechnique Montréal, Montréal, Canada
3NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montréal, Montréal, Canada
4Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands
5Department for Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
6Department of Radiology, Stanford University, Stanford, United States of America
7Department of Neurosurgery, Stanford Medicine, Stanford, United States of America
8Electrical Engineering, Stanford University, Stanford, United States of America
9Bioengineering, Stanford University, Stanford, United States of America
10Department of Electrical Engineering, Stanford University, Stanford, United States of America
11Department of Bioengineering, Stanford University, Stanford, United States of America
12Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford Medicine, Stanford, United States of America
13Department of Radiology, Stanford Medicine, Stanford, United States of America
14Department of Orthopaedic Surgery, Stanford Medicine, Stanford, United States of America
15University of Texas Southwestern Medical Center, Dallas, United States of America
16Peter O’Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, United States of America
17Physical Therapy Program, Department of Physical Medicine and Rehabilitation, School of Medicine, University of Colorado, Aurora, United States of America
18NeuroPoly Lab, Montreal, Canada
19Research Center, Ste-Justine Hospital University Centre, Montreal, Canada
20Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montréal, Canada
21CHU Sainte-Justine Research Center, Montréal, Canada, Canada
22Department of Computer Engineering and Software Engineering, Polytechnique Montreal, Montreal, Canada, Canada
23NeuroPoly Lab, Institute of Biomedical Engineering,, Polytechnique Montréal, Montréal, Canada
24Institute of Psychiatry, Psychology, & Neuroscience, King’s College London, London, United Kingdom
25Mila - Quebec AI Institute, Montreal, Canada
26Functional Neuroimaging Unit, Montreal, Canada
27Centre de Recherche du CHU Sainte-Justine, Montreal, Canada
28Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, United States of America
Presenting Author: Sandrine Bédard

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References

1. Todd, A. G. (2011). Cervical spine: Degenerative conditions. Current Reviews in Musculoskeletal Medicine, 4(4), 168–174. https://doi.org/10.1007/s12178-011-9099-2 [doi]
2. Muhammad, F., Weber, K. A., Bédard, S., Haynes, G., Smith, L., Khan, A. F., Hameed, S., Gray, K., McGovern, K., Rohan, M., Ding, L., Van Hal, M., Dickson, D., Tamimi, M. A., Parrish, T., Dhaher, Y., & Smith, Z. A. (2024). Cervical spinal cord morphometrics in degenerative cervical myelopathy: Quantification using semi-automated normalized technique and correlation with neurological dysfunctions. The Spine Journal: Official Journal of the North American Spine Society, 24(11), 2045–2057. https://doi.org/10.1016/j.spinee.2024.07.002 [doi]
3. Haynes, G., Muhammad, F., Weber, K. A., Khan, A. F., Hameed, S., Shakir, H., Van Hal, M., Dickson, D., Rohan, M., Dhaher, Y., Parrish, T., Ding, L., & Smith, Z. A. (2024). Tract-specific magnetization transfer ratio provides insights into the severity of degenerative cervical myelopathy. Spinal Cord, 62(12), 700–707. https://doi.org/10.1038/s41393-024-01036-y [doi]
4. Cohen-Adad, J., Alonso-Ortiz, E., Abramovic, M., Arneitz, C., Atcheson, N., Barlow, L., Barry, R. L., Barth, M., Battiston, M., Büchel, C., Budde, M., Callot, V., Combes, A. J. E., De Leener, B., Descoteaux, M., De Sousa, P. L., Dostál, M., Doyon, J., Dvorak, A., … Xu, J. (2021). Generic acquisition protocol for quantitative MRI of the spinal cord. Nature Protocols, 16(10), 4611–4632. https://doi.org/10.1038/s41596-021-00588-0 [doi]
5. Valošek, J., Bédard, S., Keřkovský, M., Rohan, T., & Cohen-Adad, J. (2024). A database of the healthy human spinal cord morphometry in the PAM50 template space. Imaging Neuroscience, 2, imag–2–00075. https://doi.org/10.1162/imag_a_00075 [doi]
6. De Leener, B., Lévy, S., Dupont, S. M., Fonov, V. S., Stikov, N., Louis Collins, D., Callot, V., & Cohen-Adad, J. (2017). SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. NeuroImage, 145, 24–43. https://doi.org/10.1016/j.neuroimage.2016.10.009 [doi]
7. Bédard, S., Karthik, E. N., Tsagkas, C., Pravatà, E., Granziera, C., Smith, A., Weber II, K. A., & Cohen-Adad, J. (2025). Towards contrast-agnostic soft segmentation of the spinal cord. Medical Image Analysis, 101, 103473. https://doi.org/10.1016/j.media.2025.103473 [doi]
8. Rutherford, S., Barkema, P., Tso, I. F., Sripada, C., Beckmann, C. F., Ruhe, H. G., & Marquand, A. F. (2023). Evidence for embracing normative modeling. eLife, 12, e85082. https://doi.org/10.7554/eLife.85082 [doi]
9. Marquand, A. F., Wolfers, T., Mennes, M., Buitelaar, J., & Beckmann, C. F. (2016). Beyond Lumping and Splitting: A Review of Computational Approaches for Stratifying Psychiatric Disorders. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1(5), 433–447. https://doi.org/10.1016/j.bpsc.2016.04.002 [doi]

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http://echo.ismrm.org/p/ISMRM2026/604-01-009