Sarah Rosemary Morris1,2,3, Andrew Yung1,3,4, Valentin Prevost1,3,4, Shana I George5, Piotr Kozlowski1,2,3,4, Andrew Bauman1,3,4, Farah Samadi1,6, Caron Fournier1,6, Lisa Parker7, Kevin Dong1, Femke Streijger1, G.R. Wayne Moore1,6,7,8, Brian Kwon1,9,10, and Cornelia Laule1,2,3,6
1International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 2Physics & Astronomy, University of British Columbia, Vancouver, BC, Canada, 3Radiology, University of British Columbia, Vancouver, BC, Canada, 4UBC MRI Research Centre, Vancouver, BC, Canada, 5Carson Graham Secondary School, Vancouver, BC, Canada, 6Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 7Vancouver General Hospital, Vancouver, BC, Canada, 8Medicine, University of British Columbia, Vancouver, BC, Canada, 9Vancouver Spine Surgery Institute, Vancouver, BC, Canada, 10Orthopaedics, University of British Columbia, Vancouver, BC, Canada
Synopsis
Spinal cord injuries
are heterogeneous, with complex microstructure which changes over time. We used
7T Diffusion Tensor Imaging (DTI), Diffusion Basis Spectrum Imaging (DBSI) and
inhomogeneous Magnetization Transfer (ihMT) to investigate microstructural
damage in post-mortem human spinal cord injury tissue. We measured sharp decreases
in DTI fractional anisotropy and DBSI fiber fraction at the injury epicentre of
the three cords with the most severe injuries. We found evidence for downstream
demyelination (ihMT) and axonal loss (DTI FA, DBSI fiber fraction) in the two
cords with the longest injury-death interval suggesting a time-frame for the
detection of Wallerian degeneration by MRI.
Introduction
Spinal cord injury (SCI)
is heterogeneous in severity, neurological level and injury mechanism. Clinical
trials are increasingly focussed on providing targeted therapies for SCI patient
subpopulations, stratified by specific injury metrics. This relies on accurate
information about the complex injury microstructure and how it is changing over
time.1 Wallerian degeneration begins
after the primary injury and continues for years, comprising disintegration of downstream
axons and associated myelin sheaths after connection with the neuronal cell
body is severed.2,3 Oligodendrocyte apoptosis starts immediately4
followed by slow myelin loss over years.5 Conventional
and diffusion tensor imaging (DTI) have detected Wallerian degeneration with
T2 signal changes occurring in the 1-3 months post-injury6 and DTI abnormalities reported in the chronic stage7. Several other quantitative MRI techniques
may help to measure tissue microstructure and differentiate injury processes.
Diffusion Basis
Spectrum Imaging (DBSI) is a model
developed to distinguish aspects of complex tissue pathology which are
inseparable using DTI analysis (DTI fits only one diffusion tensor to each voxel,
producing fractional anisotropy (FA), radial, axial and mean diffusivity (RD,
AD, MD) maps). DBSI involves a complex data-fitting process, separating
signal into anisotropic components (fiber fraction) and isotropic component
fractions: low diffusivity restricted (intracellular water), higher diffusivity
hindered (extracellular water), and free water.8–10
Inhomogeneous
Magnetization Transfer (ihMT) is a novel myelin-sensitive
technique which produces a regional map of dipolar order.11,12 Recent advances in ihMT acquisition have included reducing the sensitivity to T1
and B1 inhomogeneities using the inverse of the saturated signal
(ihMTRex),13 and increasing the spacing between pre-pulses to increase myelin specificity,
which has a long dipolar relaxation time (T1D filtering).14,15
Objective: Investigate advanced MRI biomarkers
for tissue degeneration after SCI, and assess the time course of MRI-detected
Wallerian degeneration using post-mortem human spinal cord tissue.Methods
Acquisition:
Six full-length spinal cords from patients with acute/sub-acute cervical SCI were
donated to the International SCI Biobank (Figure
1). For each cord, 3 formalin-fixed 4.5cm segments, centred at injury
epicentre, were imaged at 7T (Bruker Biospec, 35mm inner-diameter
quadrature volume coil, room temperature) to obtain: (1) Anatomical (RARE,
slices=45, resolution=0.1x0.1x1mm3) (2) Diffusion (multi-shell 3D diffusion-weighted SE
EPI, TR/TE=250/41.21ms, resolution=0.15x0.15x1mm3, six b=0 scans, 5
shells with b=500,1000,2000,3500,5000,7000s/mm2 and 6,15,24,42,60,80
directions respectively, distributed uniformly by a Spherical Code optimization
algorithm16) (3) ihMT with T1D-filtering (segmented 3D-FLASH, TR/TE=100/2.888ms,
resolution=0.36x0.36x1.5mm3, 12 alternating-frequency 3ms
pre-pulses with 0.3ms separation, ±8kHz from water
resonance).
MRI analysis: Non-local
mean denoising was used to pre-process all data17. Diffusion data were susceptibility and
eddy current corrected (FSL ‘top up’,‘eddy’18,19) and fit with DTI and DBSI8. ihMTRex13 maps were created in MatLab (in-house
procedure). Anatomical images were manually segmented into white matter (WM)
and grey matter masks, which were registered slice-wise to a histological
spinal cord atlas using a Coherent Point Drift algorithm.20,21 Metric values from each WM tract were
extracted for every slice. Results
DTI (Figure 2): Excluding
Case 5, FA decreased with longer injury-death interval. FA was sharply decreased
at the epicentre in the three cords with the most severe AIS injury score (A)
(Cases 1,4,6). A downstream (descending tracts below the injury, ascending tracts above) decrease in FA was seen in the two cords
with the longest injury-death interval (Cases 5,6). MD was much higher in Case
6.
DBSI (Figure 3): Fiber
fraction was increased in the two cords with short injury-death interval (Case
1,2). Fiber fraction showed downstream decreases in Cases 5,6 similar to FA. Restricted fraction was highest in Cases 3,4,5. Hindered fraction was
much higher in Case 6, suggesting the increased DTI MD is being assigned to the
extracellular DBSI component.
ihMT (Figure 4): ihMTRex
was lower in the downstream areas of Cases 5 and 6. Representative imaging
slices show lower ihMTRex in dorsal (ascending sensory) WM above the epicentre and in lateral corticospinal tracts below the epicentre.Discussion
In this study we had a unique opportunity
to conduct post-mortem imaging of human spinal cords after traumatic injury. As
expected, cords with a shorter injury-death interval had higher FA and fiber fraction, as there was less time for axons
to degenerate thereby increase diffusion isotropy. The sharp decrease in FA at the
injury epicentre in cases with a complete injury is consistent with severe
focal WM damage (anatomical images in Figure 1). Lower fiber
fraction and FA in downstream areas for Cases 5 and 6 may be measuring
decreased WM integrity and axonal loss due to Wallerian degeneration, supporting
previous in vivo DTI findings in chronic SCI.7 ihMTRex
in Cases 5 and 6 provides evidence of downstream myelin
loss. Combined with ongoing histological analysis (Figure 5), our results
may give a time interval for measuring slow demyelination and axon degeneration
with ihMT and diffusion techniques.Conclusion
A sharp FA decrease was seen at the injury
epicentre in patients with no motor/sensory function below the injury, which
was not observed in patients with less severe injuries. ihMT and diffusion
imaging metrics demonstrated downstream WM damage in SCI patients with a long (60-112
day) injury-death interval which was not found in cases with a shorter (9-34
day) injury-death interval, establishing a time-frame for the detection of Wallerian degeneration with these MRI methods. Acknowledgements
We would
like to thank the patients and families for tissue donation to the International
Spinal Cord Injury Biobank. Funding for the Biobank and this study was provided
by the Blusson Integrated Cures Partnership (BICP), VGH and UBC Hospital
Foundation and the Rick Hansen Foundation, an International Collaboration on
Repair Discoveries (ICORD) seed grant and NSERC. References
1. Ahuja, C. S. et al. Traumatic Spinal Cord
Injury—Repair and Regeneration. Neurosurgery 80, S9–S22 (2017).
2. Waller, A. V. &
Owen, R. XX. Experiments on the section of the glossopharyngeal and hypoglossal
nerves of the frog, and observations of the alterations produced thereby in the
structure of their primitive fibres. Philos. Trans. R. Soc. Lond. 140,
423–429 (1850).
3. Becerra, J. L. et al.
MR-pathologic comparisons of wallerian degeneration in spinal cord injury. Am.
J. Neuroradiol. 16, 125–133 (1995).
4. Emery, E. et al.
Apoptosis after traumatic human spinal cord injury. J. Neurosurg. 89,
911–920 (1998).
5. Buss, A. et al.
Sequential loss of myelin proteins during Wallerian degeneration in the human
spinal cord. Brain 128, 356–364 (2005).
6. Kuhn, M. J. et al.
Wallerian degeneration after cerebral infarction: evaluation with sequential MR
imaging. Radiology 172, 179–182 (1989).
7. Cohen-Adad, J. et al.
Demyelination and degeneration in the injured human spinal cord detected with
diffusion and magnetization transfer MRI. NeuroImage 55,
1024–1033 (2011).
8. Wang, Y. et al.
Quantification of increased cellularity during inflammatory demyelination. Brain
134, 3587–3598 (2011).
9. Wang, X. et al.
Diffusion basis spectrum imaging detects and distinguishes coexisting
subclinical inflammation, demyelination and axonal injury in experimental
autoimmune encephalomyelitis mice. NMR Biomed. 27, 843–852
(2014).
10. Chiang, C.-W. et al.
Quantifying white matter tract diffusion parameters in the presence of
increased extra-fiber cellularity and vasogenic edema. NeuroImage 101,
310–319 (2014).
11. Varma, G., Duhamel, G.,
de Bazelaire, C. & Alsop, D. C. Magnetization Transfer from Inhomogeneously
Broadened Lines: A Potential Marker for Myelin. Magn. Reson. Med. 73, 614–622 (2015).
12. Girard, O. M. et al.
Magnetization transfer from inhomogeneously broadened lines (ihMT):
Experimental optimization of saturation parameters for human brain imaging at
1.5 Tesla. Magn. Reson. Med. 73, 2111–2121 (2015).
13. Varma, G., Girard, O. M.,
Prevost, V., Duhamel, G. & Alsop, D. C. Extracting a robust inhomogeneous
magnetization transfer (ihMT) rate parameter, ihMT-Rex. in Proc. Int. Soc.
Mag. Res. Med vol. 23 (2015).
14. Prevost, V. H. et al.
Optimization of inhomogeneous magnetization transfer (ihMT) MRI contrast for
preclinical studies using dipolar relaxation time (T1D) filtering. NMR
Biomed. 30, e3706 (2017).
15. Varma, G. et al.
In vivo measurement of a new source of contrast, the dipolar relaxation time,
T1D, using a modified inhomogeneous magnetization transfer (ihMT) sequence. Magn.
Reson. Med. 78, 1362–1372 (2017).
16. Cheng, J., Shen, D., Yap,
P.-T. & Basser, P. J. Single- and Multiple-Shell Uniform Sampling Schemes
for Diffusion MRI Using Spherical Codes. IEEE Trans. Med. Imaging 37,
185–199 (2018).
17. Coupe, P. et al.
An optimized blockwise nonlocal means denoising filter for 3-D magnetic
resonance images. IEEE Trans. Med. Imaging 27, 425–441 (2008).
18. Andersson, J. L. R.,
Skare, S. & Ashburner, J. How to correct susceptibility distortions in
spin-echo echo-planar images: application to diffusion tensor imaging. NeuroImage
20, 870–888 (2003).
19. Andersson, J. L. R. &
Sotiropoulos, S. N. An integrated approach to correction for off-resonance
effects and subject movement in diffusion MR imaging. NeuroImage 125,
1063–1078 (2016).
20. Myronenko, A. & Song,
X. Point-Set Registration: Coherent Point Drift. IEEE Trans. Pattern Anal.
Mach. Intell. 32, 2262–2275 (2010).
21. Sengul, G., Watson, C.,
Tanaka, I. & Paxinos, G. Atlas of the spinal cord: Mouse, rat, rhesus,
marmoset and human. (Elsevier, 2012).