Lisa Eunyoung Lee1, Anna J.E Combes2, Jillian Chan1, Robert Carruthers1, Jacqueline Palace3, Lucy Matthews3, Anthony Traboulsee1, and Shannon Kolind1,4
1Department of Medicine, University of British Columbia, Vancouver, BC, Canada, 2Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom, 3Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 4Department of Radiology, University of British Columbia, Vancouver, BC, Canada
Synopsis
Neuromyelitis
optica spectrum disorder (NMOSD) and multiple sclerosis (MS) are demyelinating
central nervous system disorders that may present with some overlapping clinical
symptoms but differ pathophysiologically. We used tissue-specific quantitative
measures, produced by mcDESPOT, to characterize tissue pathology in MS and
NMOSD groups compared to healthy controls. We observed decreased myelin water
fraction, increased T2 of intra/extracellular water, increased cerebrospinal
volume fraction, and increased myelin water residence time in the brainstem and
corpus callosum of MS and NMOSD subjects, compared to controls. These sensitive
advanced MRI measures could provide an improved understanding of MS and NMOSD
pathogenesis.
Introduction
Neuromyelitis
optica spectrum disorder (NMOSD) is a rare, neuro-inflammatory disorder that
primarily affects the optic nerves and spinal cord1,2. NMOSD was
previously classified as a subtype of multiple sclerosis (MS); however, recent
studies have suggested that NMOSD is clinically and pathophysiologically
distinct from MS1,2. MS is known to feature widespread diffuse
demyelination in the brain and spinal cord, but not in NMOSD2.
However, evidences of diffuse damage in certain NMOSD brain regions were found.
The brainstem, which is structurally continuous with the spinal cord, is known
to be affected in both MS and NMOSD1,3. Brainstem damage may be
associated with Wallerian degeneration resulting in atrophy and demyelination
distal to the axonal transection or damaged neuron in the spinal cord4,5,6.
In the corpus callosum (CC), which is not directly connected to the spinal
cord, diffuse tissue changes are typically expected only in MS2,7,8.
However, some studies have suggested extensive white matter damage to the CC in
NMOSD, demonstrated by reduced fractional anisotropy (fiber directionality,
axonal degeneration) and increased mean or radial diffusivity (amount of water
diffusion, demyelination)1,4. While metrics
derived from diffusion tensor imaging can be informative, reflecting broad
tissue changes in brain, they lack biological specificity9.
Multicomponent relaxation MRI aims to provide more specific measures of tissue
damage, including demyelination9. Thus, we aimed to study the
underlying pathology in the brainstem and CC of MS and NMOSD patients with
cervical cord lesions, using tissue-specific metrics obtained using
multi-component driven equilibrium single pulse observation of T1/T2 (mcDESPOT)10.
We investigated the following parameters: myelin water fraction (MWF), myelin
water residence time (τM), T2
of intra/extracellular water (IET2) and cerebrospinal fluid volume fraction
(Vcsf) (Figure 1). These measures provide information about myelin content,
myelin thickness, inflammation, and atrophy, respectively.Methods
mcDESPOT10
data was acquired in 9 relapsing remitting MS patients (median age=42 years
(range 28-62); disease duration=54 months (26-156); median EDSS=2 (1-5)), 7
anti-aquaporin-4-seropositive NMOSD patients (median age=48 years (27-76); disease
duration=69 months (24-186); EDSS=4 (2-7.5)), and 13 age-matched healthy
controls (median age=49 years (26-76)), using a Siemens 3T scanner with
1.7x1.7x1.7mm voxels at baseline and at 12 months. All MS and NMOSD subjects
had evidence of one or more cervical cord lesions. Brainstem and CC regions of
interest (ROIs) were manually drawn on 3 slices per scan. Images were
registered with FSL-FLIRT. Median (±standard deviation) MWF, τM, IET2, and Vcsf values were calculated
in each ROI. Student’s t-tests were used to compare cohorts.Results
BASELINE (Figures
2,3): MWF was lower in MS and NMOSD compared to controls in both ROIs but only
significantly in the CC for MS (0.23±0.03) compared to controls (0.25±0.01) (p=0.02). τM was longer in the CC for both MS and NMOSD compared
to controls with a significant difference between MS (76.0±12.8ms) and controls
(64.9±7.3ms) (p=0.02). IET2 was only significantly different in the CC between
MS (76.3±10.7ms) and controls (66.4±4.1ms) (p=0.03).
LONGITUDINAL
(Figures 4,5): Over one year, there was a trend towards decreasing MWF and
increasing τM in both the CC and brainstem of both MS and NMOSD but
the changes were not significant. IET2 increased in MS and NMOSD in the
brainstem [MS (5.50±4.99) vs. Controls (-2.31±4.88) (p=0.004), NMO (8.06±8.94)
vs. Controls (p=0.007)]. A similar trend was found in Vcsf; however, a
significant difference (p=0.002) was only seen in NMOSD brainstem compared to
controls.Discussion
As expected, cross-sectional
results suggested decreased myelin content in the brainstem and CC of both MS
and NMOSD cohorts, compared to controls. Additionally, tissues with long T2
times, such as CSF, could indicate more water in pathologic tissues due to
inflammation or edema produced during nerve degeneration. These results are
supported by our longitudinal finding of greater increases in IET2 and Vcsf in
both the CC and brainstem in both MS and NMOSD over one year, compared to
controls. Furthermore, the longer residence times at baseline and over one year
are intriguing. This may be due to preferential loss of small axons with
thinner myelin, resulting in a larger average myelin thickness within the
voxels of interest. These MRI features are compatible with previous reports of extensive white
matter damage in MS and NMOSD1,4.Conclusion
Our findings of
signal alterations to mcDESPOT-derived parameters in the brainstem and CC of MS
and NMOSD cohorts are consistent with previous pathological findings in these
diseases. The decreased MWF, increased IET2 and increased Vcsf may represent
lower myelin content and increased inflammation/edema due to tissue damage. These
quantitative advanced MRI measures could provide improved understanding of
pathophysiological changes, and insight into efficacy of treatment and disease
progression. Acknowledgements
We express our thanks to the participants involved in this study and Emil Ljungberg for providing valuable feedback.References
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