Keywords: Microstructure, Spinal Cord, White Matter, Traumatic Injury, ActiveAx, Spinal Cord Injury, DTI, Myelin, Axons
Motivation: Following spinal cord injury (SCI) changes in tissue microstructure occur throughout the length of the cord which are not detectable with conventional MRI.
Goal(s): To characterize whole cord diffusion MRI metrics in human SCI post-mortem tissue, including the effect of injury-to-death interval on diffusion MRI metrics.
Approach: Two full-length spinal cords were imaged at 7T. DTI and ActiveAx metrics were extracted from white matter tracts.
Results: Changes in fractional anisotropy, axon density, and axon diameter were observed downstream of the injury epicentre in the case with a longer injury-to-death interval. Transience in diffusion metrics may indicate the extent of axonal degeneration and swelling.
Impact: Diffusion MRI may be a useful tool in understanding the extent and progression of spinal cord injury. Insight into axonal swelling and degeneration following spinal cord injury could aid clinicians in predicting patient prognosis.
We would like to thank the patients and families for donating their tissue to the International Spinal Cord Injury Biobank. Funding for this study and the Biobank was obtained from NSERC, Blusson Integrated Cures Partnership (BICP), VGH and UBC Hospital Foundation and the Rick Hansen Foundation, and an International Collaboration on Repair Discoveries (ICORD) seed grant. This work was conducted on the traditional, ancestral, and unceded territories of Coast Salish Peoples, including the territories of the xwməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), Stó:lō and Səl̓ílwətaʔ/Selilwitulh (Tsleil- Waututh) Nations.
[2] T. Fischer, C. Stern, P. Freund, M. Schubert and R. Sutter, "Wallerian degeneration in cervical spinal cord tracts is commonly seen in routine T2-weighted MRI after traumatic spinal cord injury and is associated with impairment in a retrospective study," European Radiology, vol. 31, no. 5, pp. 2923-2932, 2021.
[3] A. D. Gaudet, P. G. Popovich and M. S. Ramer, "Wallerian degeneration: Gaining perspective on inflammatory events after peripheral nerve injury," Journal of Neuroinflammation, vol. 8, p. 110, 2011.
[4] J. L. Becerra, W. R. Puckett, E. D. Hiester, R. M. Quencer, A. E. Marcillo, M. J. Post and R. P. Bunge, " MR-pathologic comparisons of wallerian degeneration in spinal cord injury," American Journal of neuroradiology, vol. 16, no. 1, pp. 125-133, 1995.
[5] M. J. Kuhn, D. J. Mikulis, D. M. Ayoub, B. E. Kosofsky, K. R. Davis and J. M. Taveras, "Wallerian degeneration after cerebral infarction: evaluation with sequential MR imaging," Radiology, vol. 172, p. 179, 1989.
[6] T. Duval, J. A. McNab, K. Setsompop, T. Witzel, T. Schneider, S. Y. Huang, B. Keil, E. C. Klawiter, L. L. Wald and J. Cohen-Adad, "In vivo mapping of human spinal cord microstructure at 300 mT/m," Neuroimage, vol. 118, pp. 494-507, 2016.
[7] D. C. Alexander, P. L. Hubbard, M. G. Hall, E. A. Moore, M. Ptito, G. J. M. Parker and T. B. Dyrby, "Orientationally invariant indices of axon diameter and density from diffusion MRI," NeuroImage, pp. 1374-1389, 2010.
[8] F. Sepehrband, D. C. Alexander, D. N. Kurniawan, D. C. Reutens and Z. Yang, "Towards higher sensitivity and stability of axon diameter estimation with diffusionweighted MRI," NRM in biomedicine, vol. 26, pp. 293-308, 2015.
[9] J. L. R. Andersson and S. N. Sotiropoulos, "An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging," NeuroImage, vol. 125, pp. 1063-1078, 2016.
[10] J. Cheng, D. Shen, P. T. Yao and P. J. Basser, "Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes," IEEE Transactions on Medical Imaging, vol. 37, pp. 185-199, 2018.
[11] P. Coup and Et. al., "An optomized blockwise nonlocal means denoising filter for 3-D magnetic resonance images," IEEE Transaction on Medical Imaging, vol. 27, pp. 425-441, 2008.
[12] J. L. R. Andersson, S. Skare and J. Ashburner, "How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging," NeuroImage, vol. 20, pp. 870-888, 2003.
[13] A. Myronenko and X. Song, "Point-Set Registration: Coherent Point Drift," IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 32, pp. 2262-2275, 2010.
[14] G. Sengul, C. Watson, I. Tanaka and G. Paxinos, "Atlas of the spinal cord: Mouse, rat, rhesus, marmoset and human," Elsevier, 2012.
[15] J. Cohen-Adad and et. al., "Demyelination and degeneration in the injured human spinal cord detected with diffusion and magnetization transfer MRI," NeuroImage, vol. 55, pp. 1024-1033, 2011.Fig.1: Patient donor information from the International Spinal Cord Injury Biobank. AIS grades: A= Complete loss of motor/sensory function below injury, B= sensory but no motor function below injury)
Fig.3: Diffusion imaging metrics for Case 1 with injury-to-death interval of 17 days are shown for a ~30 cm portion of spinal cord with injury epicenter located at 0mm. Representative T2 weighted images are given for each cord region.
Fig.4: Diffusion imaging metrics for Case 2 with injury-to-death interval of 112 days are shown for a ~38 cm portion of spinal cord with injury epicenter located at 0mm. Representative T2 weighted images are given for each cord region.
Fig 5. Table displaying changes in metric values for case 1 and case 2 in ascending, descending and mixed tracts for above injury epicentre relative to ~90mm below and ~90mm below injury epicentre relative to the most caudal section (~240mm for case 1 and ~320mm for case 2).