­Longitudinal mcDESPOT Shows Contrasting Patterns of Change in Multiple Sclerosis and Neuromyelitis Optica Cervical Cord
Anna Combes1, Lucy Matthews2, Gareth J Barker1, Steven CR Williams1, Katrina McMullen3, Janet Lam4, Anthony Traboulsee3, David KB Li3,4, Jacqueline Palace2, and Shannon Kolind3

1Neuroimaging, King's College London, London, United Kingdom, 2Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3Medicine, University of British Columbia, Vancouver, BC, Canada, 4Radiology/UBC MS/MRI Research Group, University of British Columbia, Vancouver, BC, Canada

Synopsis

Neuromyelitis optica (NMO) severely affects the optic nerves and spinal cord and shares features with multiple sclerosis (MS). Ongoing diffuse neurodegeneration, however, is thought to be absent in NMO between relapses. We collected cervical cord mcDESPOT at baseline and one-year follow-up in patients and matched controls. While there were no significant changes in controls and MS patients, the NMO group showed a loss of cord volume, decrease in T1 and increase in myelin water fraction. We hypothesize that continuing atrophy in lesioned areas reduces the amount of damaged tissue relative to healthy tissue, and is responsible for the observed changes.

Introduction

Neuromyelitis optica (NMO) is a rare inflammatory disease primarily targeting the optic nerves and spinal cord, with limited brain volvement. Its clinical features and relapsing course resemble that of relapsing-remitting multiple sclerosis (MS), although the underlying pathological mechanisms differ. In particular, there is no progressive phase in NMO, and current evidence suggests that neurodegeneration is absent between attacks. In a previous investigation, no evidence of ongoing diffuse cerebral damage was found using MRI relaxometry and atrophy measures1. In the current study, we extended these evaluations to the cervical spinal cord, using multi-component relaxometry to evaluate changes in atrophy and quantitative parameters of tissue damage at baseline and one year in NMO patients versus MS patients and controls.

Methods

13 anti-aquaporin-4 antibody-positive NMO patients (median age 45 (range 27-76)), 13 relapsing-remitting MS patients (38 (22-62)), and 17 age-matched healthy controls (54 (19-76)) were scanned at baseline. Patient groups had equivalent disease durations (NMO: median 60 months (12-186); MS: 54 (24-156)). A subset of 8 NMO, 11 MS patients and 14 controls was scanned again after one year. All but one NMO and one MS patient in the follow-up group had a history of transverse myelitis. A multi-component driven equilibrium single pulse observation of T1/T2 (mcDESPOT) protocol was acquired on a Siemens Verio 3T scanner over the whole cervical cord with 0.9x0.9x1.8 mm voxels2. Images were registered with FSL-FLIRT, segmented using the Spinal Cord Toolbox3, and analysed voxelwise with a three-pool model4 to calculate the myelin water fraction (fM) and T1 (related to total water content). Median fM and T1 were obtained along the cervical cord from C1 to C7. Cord volume (CV), normalized by length and including lesioned areas, was measured on a T1-weighted spoiled gradient echo image from the mcDESPOT protocol. Non-parametric statistics were used to compare groups at baseline, and change in metrics over time; mean percentage difference between groups or percentage change ± standard deviation are reported.

Results

BASELINE (Fig. 1): Compared to controls, NMO patients had lower CV (-12.4±12.4%, p=.002), lower fM (-11.3±9.2%, p=.004) and higher T1 (+11.0±12.7%, p=.002); the MS group had lower fM (-14.0±13.0%, p=.001) and higher T1 (+8.2±11.0%, p=.01). There were no significant differences between patient groups.

LONGITUDINAL (Fig. 2): At one-year follow-up, controls were stable in all measures (all p≥.2). MS patients showed a loss of cord volume (-1.4±3.2%, p=.2), reduction in fM (-2.1±11.8%, p=.2) and increase in T1 (+4.4±10.3%, p=.3) (all non-significant). The NMO group showed a significant decrease in CV (-5.1±4.6%, p=.02), an increase in fM (+6.6±8.3%, p=.04) and a decrease in T1 (-2.4±2.5%, p=.04).

Discussion

Cross-sectional analysis showed, as expected, lower volume & fM and elevated T1 in both patient groups compared to controls (see Fig. 3 for example maps). Over the one-year observation period, cord atrophy was seen in the NMO group, but not detected in the MS group. Given that focal cord pathology is known to be more severe in NMO, we hypothesize that the volume decrease is the result of continuing atrophy following transverse myelitis. The NMO group also displayed significant longitudinal changes in fM and T1, which were in the opposite direction to the (non-significant) changes in the MS group. Decrease in T1 is likely due to the loss of tissue volume; where cystic lesions shrink, the amount of necrotic tissue diminishes, leaving a greater relative amount of healthy tissue and producing a lower median T1 value over the cord, which may also explain the observed increase in fM. Alternatively, the increase in fM could result from a drop in total water content (fM being a ratio of myelin to total water). Finally, though less likely given the time frame for follow-up, the increase in fM could reflect ongoing repair, which would be consistent with the hypothesis that progression is absent in NMO.

Conclusion

The observed changes are consistent with what is known about the pathology of NMO. The decrease in cord volume can be attributed to residual damage from lesions. Changes in T1 and fM are linked with the volume loss, most likely at lesion sites. Thus, shrinkage of lesioned tissue leads to changes in median values calculated over the whole cervical cord. While evidence of disease progression has been previously demonstrated in the MS cord, these results suggest this is not the case in NMO and lend evidence to the current theory that subclinical progression is not a feature of the disease. Further work will look at segmenting lesioned from healthy tissue in order to separate the effects of lesion evolution from changes in normal-appearing tissue.

Acknowledgements

We thank the MRI technologists for assistance with data collection, and participants for contributing to this study.

References

1. Matthews L, Kolind S, Brazier A, et al. Imaging surrogates of disease activity in neuromyelitis optica allow distinction from multiple sclerosis. PLoS ONE. 2015; 10(9): e0137715.

2. Kolind, SH, & Deoni, SC. Rapid three-dimensional multicomponent relaxation imaging of the cervical spinal cord. MRM. 2011;65(2):551-556.

3. Cohen-Adad J, De Leener B, Benhamou M, et al. Spinal Cord Toolbox: an open-source framework for processing spinal cord MRI data. Proceedings of the 20th Annual Meeting of OHBM, Hamburg, Germany. 2014:3633.

4. Deoni SCL, Matthews L, & Kolind, SH. One component? Two components? Three? The effect of including a nonexchanging “free” water component in multicomponent driven equilibrium single pulse observation of T1 and T2. MRM. 2013;70(1):147-54.

Figures

Figure 1. CV, fM and T1 between groups at baseline.

Figure 2. Percentage change in CV, fM and T1 over one year. Dashed line represents 0% change.

Figure 3. Hypointense T1 lesion on a structural scan for one MS patient (left) shows up as areas of lower fM (middle) and higher T1 (right) that don’t perfectly overlap.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
4055