Tsen-Hsuan Lin1, Mitchell Hallman1,2, Fay Hwang1, Yong Wang1,3,4,5, Sheng-Kwei Song1,4,5, and Peng Sun1
1Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, United States, 3Obstertic and Gynecology, Washington University School of Medicine, St. Louis, MO, United States, 4The Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States, 5Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States
Synopsis
The extent of axonal loss plays a significant role in irreversible
neurological impairment in spinal cord injury (SCI). We detected a 15% axonal
loss in SCI mice using diffusion basis spectrum imaging (DBSI) that was masked
by injury induced white matter swelling. Introduction
Axonal loss is the
primary cause of permanent neurological disability in spinal cord injury.
1,2 Diffusion tensor imaging (DTI) derived
fractional anisotropy (FA) has been widely sued to non-invasively and
longitudinally assess the severity of SCI. However, co-existing axonal
injury/loss, demyelination, and inflammation significantly interfere with the
accuracy of FA assessed SCI severity. In this study, we applied diffusion basis
spectrum imaging (DBSI)
3,4 to detect, distinguish, and quantify axonal
pathologies in a mouse model of SCI in
vivo, followed by immunohistochemistry
(IHC) validation. Our results support that DBSI may serve as outcome measure to
quantitatively reflect irreversible damage in SCI.
Materials and Methods
Animal model: A contusive SCI at T9 vertebral level was performed in eleven of seventeen
10-week-old female C57BL/6 mice. The remaining six mice (sham) underwent laminectomy
without contusion. The injury group received contusion injury at 0.1 m/s with
0.8 mm impact displacement using 1.3-mm diameter rounded tip. After impact, the
site was closed in layers followed by subcutaneous administration of Baytril
(2.5mg/kg) and lactated Ringers (5mL). Standard postoperative care was
performed.
5 DBSI: A pair of 8-cm diameter volume and 15 × 8 mm
2 surface
active-decoupled coils was used to cover T8 – T11 vertebrae. DBSI was performed
at day 3 post contusion on a 4.7-T Agilent small-animal MR scanner utilizing a
multiple-echo spin-echo diffusion-weighted sequence.
6 A 25-direction diffusion scheme was
performed.
7 All images were obtained with following
acquisition parameters: TR = 0.3 (with respiratory gating) s, TE = 43 ms, inter-echo delay = 16 ms, Δ =
25 ms, δ = 6 ms, maximal b-value = 2,200 s/mm
2, slice thickness = 1.8
mm, FOV (field of view) = 10 × 10 mm
2, in-plane resolution = 104 ×
104 µm
2 (before zero-filled). Data analysis: A
lab-developed DBSI code was performed on diffusion weighted MR data to estimate $$$\lambda$$$
$$$\parallel$$$, $$$\lambda$$$
$$$\perp$$$, and FA derived by DBSI and DTI, and DBSI specific
fiber, restricted (putative cellularity) and non-restricted isotropic (putative edema)
diffusion tensor fractions. Histology: mice were
perfusion fixed immediately after the in
vivo diffusion weighted MR measurements for immunohistochemical (IHC)
staining of SMI-312, MBP, DAPI, and SMI-31.
Results
DTI and DBSI derived
$$$\lambda$$$
$$$\parallel$$$, $$$\lambda$$$
$$$\perp$$$, and FA (Fig. 1 and 2) revealed that DBSI specifically
reflected axonal pathologies without confounding effects from inflammation and
axonal loss. The extent of inflammation, i.e., increased cellularity and edema,
and axonal loss was reflected by DBSI derived restricted and non-restricted isotropic,
and anisotropic (injured and non-injured axonal fibers) tensor fractions,
respectively (Fig. 3, and 4). White matter volume estimated using diffusion
weighted anatomic images increased at 3 days after SCI (Fig. 4C). In contrast, axonal
fiber fraction (Fig. 4D) derived by DBSI significantly decreased in SCI group. A
new metric “axon volume” was derived, i.e., fiber fraction × white matter
volume, to quantitatively estimate the extent of axonal loss. DBSI derived
“axon volume” significantly decreased in SCI (Fig. 4E). IHC confirmed the DBSI detected/quantified
co-exiting pathologies, including axon and myelin damage, inflammation, and
axon loss in mouse SCI.
Conclusion
DBSI detected,
distinguished, and quantified the co-exiting axonal pathologies in SCI mice 3
days after contusion, confirmed by post-MRI quantitative IHC. Results
demonstrated that DBSI can “see through”
confounding co-existing pathologies, e.g., inflammation and tissue loss, for
quantifying the extent of axonal injury, demyelination, inflammation, and the
irreversible axonal loss.
Acknowledgements
Supported in part
by NIH R01-NS047592, P01-NS059560, and NMSS RG 5258-A-5References
1. Wujek JR, Bjartmar C, Richer E, et al. Axon loss in the spinal
cord determines permanent neurological disability in an animal model of
multiple sclerosis. Journal of
neuropathology and experimental neurology 2002;61:23-32.
2. Kornek B, Storch MK, Weissert R, et al.
Multiple sclerosis and chronic autoimmune encephalomyelitis - A comparative
quantitative study of axonal injury in active, inactive, and remyelinated
lesions. American Journal of Pathology
2000;157:267-276.
3. Wang Y, Sun P, Wang Q, et al. Differentiation and
quantification of inflammation, demyelination and axon injury or loss in multiple
sclerosis. Brain : a journal of neurology
2015;138:1223-1238.
4. Wang Y, Wang Q, Haldar JP, et al.
Quantification of increased cellularity during inflammatory demyelination. Brain : a journal of neurology
2011;134:3587-3598.
5. Kim JH, Loy DN, Wang Q, et al. Diffusion
Tensor Imaging at 3 Hours after Traumatic Spinal Cord Injury Predicts Long-Term
Locomotor Recovery. Journal of
neurotrauma 2010;27:587-598.
6. Tu TW, Budde MD, Xie M, et al.
Phase-aligned multiple spin-echo averaging: a simple way to improve
signal-to-noise ratio of in vivo mouse spinal cord diffusion tensor image. Magnetic resonance imaging
2014;32:1335-1343.
7. Chiang CW, Wang Y, Sun P, et al.
Quantifying white matter tract diffusion parameters in the presence of
increased extra-fiber cellularity and vasogenic edema. NeuroImage 2014;101:310-319.