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Quantitative MRI of diffusely abnormal white matter in multiple sclerosis at 3T
Irene M Vavasour1, Roger Tam1,2, Shannon H Kolind1,2,3,4,5, Robert L Carruthers3, Anthony Traboulsee2,3, David KB Li1,2,3, and Cornelia Laule1,4,5,6

1Radiology, University of British Columbia, Vancouver, BC, Canada, 2MS/MRI Research Group, University of British Columbia, Vancouver, BC, Canada, 3Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada, 4Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 5International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 6Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada

Synopsis

Diffusely abnormal white matter (DAWM) is found in the brain of some multiple sclerosis (MS) and clinically isolated syndrome (CIS) subjects. DAWM has poorly defined boundaries, with signal intensity higher than normal appearing white matter (NAWM) but not as high as lesions on FLAIR, proton density and T2-weighted MRI. We compared results from myelin water imaging, T1 and diffusion basis spectrum imaging in areas of DAWM and corresponding areas of NAWM in 20 MS/CIS participants. No significant differences in measures sensitive to myelin, axons, oedema and inflammation were found, although trends for increased T1 and reduced fibre fraction were observed.

Introduction

Diffusely abnormal white matter (DAWM) is found in the brain of some multiple sclerosis (MS) and clinically isolated syndrome (CIS) subjects1,2,3. DAWM has poorly defined boundaries, with signal intensity higher than normal appearing white matter (NAWM) but not as high as lesions on fluid attenuated inversion recovery (FLAIR), proton density (PD) and T2-weighted MRI1,4. Histologically, DAWM shows blood-brain barrier breakdown, as well as myelin and axonal loss5,6,7,8. DAWM may have clinical implications as patients with DAWM reach more severe clinical disability levels as measured by the Expanded Disability Status Scale (EDSS), sooner than those without DAWM2,9.

A number of advanced MRI techniques exist that are sensitive to myelin, axons, oedema and inflammation and may give more information about the underlying tissue changes responsible for DAWM. The fraction of water within the myelin bilayers (myelin water fraction, MWF10) has been histopathologically validated as a marker for myelin11. T1 relaxation is closely related to water content12. Diffusion basis spectrum imaging (DBSI) models myelinated and unmyelinated axons as anisotropic diffusion tensors, and models cells and extracellular space as isotropic diffusion tensors to simultaneously quantify axonal injury, myelination, inflammation and oedema in the CNS13. Numerous measurements can be derived from the DBSI data including: axial diffusivity (related to axonal integrity), radial diffusivity (modulated by myelin)14, fibre fraction (a measure of the density of axons)15, isotropic restricted diffusion fraction (changes in cellularity resulting from inflammation) and the isotropic hindered diffusion fraction (increases with vasogenic oedema)15.

Previous studies of DAWM at 1.5T have found reduced magnetization transfer ratio and increases in T1, suggesting loss of tissue and increased water content16,17, reduced diffusion fractional anisotropy attributed to lower fibre ordering5 and decreases in myelin water fraction6, indicative of myelin loss. DAWM has not been examined with quantitative MR at 3T

Objective

To compare the MWF, T1, DBSI-derived measures and normalised brain volumes in MS subjects with and without DAWM at 3T.

Methods

Subjects and MR Experiments: Twenty MS subjects (13 relapsing-remitting MS, 3 CIS, 3 secondary-progressive MS, 1 primary-progressive MS) were scanned on a 3T Philips scanner. Scanning sequences included a 48-echo GRASE T2 relaxation sequence (TR=1073ms, TE=8ms, 1x1x2.5mm3, 40 slices)18, a DBSI sequence (99 directions, range of b values=0-1500, TE=79ms, TR=4798ms, 2x2x2mm3, 40 slices)15, and structural proton-density (PD)-weighted (TR=2900ms, TE=8.42ms, 1x1x3mm3), T2-weighted (TR=2900ms, TE=80ms, 1x1x3mm3) and 3D T1-MPRAGE (TR=3000ms, TI=926ms, 1x1x1mm3) sequences for tissue identification.

Data Analysis: PD and T2-weighted scans were used to stratify patients into those with DAWM (DAWM+) and without DAWM (DAWM). T2 distributions were calculated for every voxel using a modified Extended Phase Graph algorithm combined with regularized non-negative least squares and flip angle optimization19,20, and MWF was defined as the fraction of signal with T2<40ms. T1 was fit to a single exponential using in-house software. DBSI data was analysed to calculate diffusivities, fibre fraction, hindered isotropic diffusion fraction and restricted isotropic diffusion fraction images21. Regions of interest (ROIs) were manually drawn around areas of DAWM in DAWM+ subjects and corresponding areas in DAWM subjects on PD images (Figure 1). MWF, T1 and DBSI-derived images were registered to the PD image using FLIRT (FSL toolbox)22. ROIs were overlaid onto registered MWF, T1 and DBSI-derived images to obtain mean measurements. Normalised brain volume was determined using the 3DT1 images with in-house software23. Comparisons between values from DAWM+ and DAWM participants were done using a Student's t-test.

Results

50% of subjects were DAWM+. DAWM+ subjects had a higher EDSS (median EDSS 3.5 vs. 2.0, p=0.37) but similar disease duration to DAWM subjects (mean disease duration: 12.2y vs. 11.6y, p=0.87). Comparing ROIs from DAWM and non-DAWM, no significant differences were found in any MR measurement (Table 1). Plots of the data for each subject are shown in Figure 2.

Conclusions

We found 50% of our MS participants showed DAWM in their brain MRI, which is double the rate of 25% previously reported at 1.5T1,2. In addition, contrary to previous studies conducted at 1.5T6,16,17, areas of DAWM at 3T did not show significant differences in MR measures sensitive to myelin, axons, oedema and inflammation, although trends for increased T1 and reduced fibre fraction were observed. Due to improved signal to noise ratio and resolution, DAWM identified at 3T likely includes additional mild abnormalities that would not be visible at 1.5T and would have formerly been classified as normal appearing white matter. Thus, 3T DAWM+ regions include less severe abnormalities, suggesting that larger sample sizes may be needed to detect differences between DAWM+ and DAWM groups.

Acknowledgements

We would like to thank the volunteers and their families and the MR technologists. This study is funded by the Multiple Sclerosis Society of Canada.

References

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Figures

Figure 1: Examples of regions of interest drawn for DAWM from a DAWM+ participant (left) and corresponding areas from a DAWM participant (right) overlaid on a proton density-weighted image.

Figure 2: Plots of myelin water fraction, T1, axial diffusivity, radial diffusivity, isotropic hindered fraction, isotropic restricted fraction, fibre fraction and normalised brain volume (NBV) for participants with (DAWM+) and without (DAWM) diffusely abnormal white matter (DAWM). Each point is the mean from a region of interest either of DAWM or a corresponding region in people without DAWM (except for NBV which was calculated for the whole brain).

Table 1: Mean (standard error) for the MR measures averaged over all subjects either with diffusely abnormal white matter (DAWM+) or without (DAWM). The listed p-value is from a t-test comparing DAWM+ and DAWM.

Proc. Intl. Soc. Mag. Reson. Med. 26 (2018)
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