M. Andrea Parra1, Sindhuja T Govindarajan2, Lev Bangiyev1, Patricia K Coyle3, and Tim Q Duong1
1Radiology, Stony Brook University Hospital, Stony Brook, NY, United States, 2Stony Brook University, Stony Brook, NY, United States, 3Neurology, Stony Brook University Hospital, Stony Brook, NY, United States
Synopsis
This
study characterized gray-matter (GM) multiple sclerosis (MS) lesions using double-inversion recovery (DIR),
contrast-enhanced and diffusion at 3T MRI. Lesion segmentation was based on
DIR. We determined GM lesion prevalence, characterize their
contrast-enhancement and diffusion characteristics, and compared them with
white-matter (WM) lesions. Correlated GM lesion count and volume with total
brain, WM, GM and deep GM volumes, as well as clinical disability. Comparisons
were also made with healthy controls. We tested the hypothesis that GM MS
lesions are highly prevalent, contrast-enhanced GM lesions have higher ADC
values, and GM MS lesion counts and volumes are correlated with brain atrophy.
Introduction
Gray-matter (GM) lesions in multiple sclerosis (MS) have
been shown to correlate with the severity of physical disability and
cognitive impairment compared to white-matter (WM) lesions1,2. In the 2017 revised
McDonald diagnostic criteria, GM lesions was added as a preferred lesion site as
MRI criteria for MS diagnosis3, underscoring the importance of GM
damage in MS.
While WM lesions are well studied in
multiple sclerosis (MS), GM lesions are not well studied because
they are non-conspicuous on conventional MRI. Double-inversion recovery (DIR) has recently been shown to improve detection of GM lesions when compared to
FLAIR4. Diffusion-weighted
imaging (DWI) and contrast-enhanced MRI have been extensively used to
characterize WM lesions5,6, but similar studies characterizing GM
lesions are sparse. Histopathological and immunological data further suggest
that there are significant differences in pathophysiology between GM and WM MS
lesions7,8. DWI and contrast-enhanced MRI may prove useful for
characterizing GM MS lesions in vivo in clinical settings. This study
characterized GM MS lesions using DIR, contrast-enhanced and diffusion at 3T MRI.
We also compared GM lesions to WM, and correlated GM lesions to brain atrophy. We
tested the hypothesis that GM lesions are contrast-enhanced with similar
prevalence as WM lesions, contrast-enhanced GM lesions have higher ADC values,
and GM MS lesion counts and volumes are correlated with brain atrophy. Methods
3T
MRI data for this retrospective study included T1WI, DIR, FLAIR, and DWI. We
analyzed 44 RRMS patients (12M/32F, 41±13yo, disease duration 7±7) and 24 age-matched
healthy controls (14M/10F, 36±13yo). Lesions
were manually segmented based on DIR and grouped into GM, subcortical WM, and
periventricular WM lesions. ADC were tabulated for contrast-enhancing and
non-enhancing lesions. Brain volume segmentation performed using FSL SIENAX and
FIRST, volumes adjusted for age and brain size. Unpaired single t-tests were
used for comparison between groups. Linear regression was used to evaluate the
relationship between number of GM lesions and total GM lesion volume with brain
volumes and clinical data. Results
We
found a total of 1931 lesions, 94% were hyperintense on both FLAIR and DIR. In
our cohort, 86% of patients had GM lesions. 328 GM lesions were identified, 3%
of which was contrast-enhanced. 1095 subcortical WM lesions, 2% was enhanced. 509
periventricular WM lesions, 3% enhanced (Table 1). Differences in brain volumes
were found between patients and controls (Table 2). Number of GM lesions significantly
correlated with decreasing GM and total-brain (TB) volume (p<0.004 and p<0.005,
respectively), but not with WM volume or deep GM structures. GM lesion volume
correlated with decreasing GM, WM, TB and putamen volume (p=0.01, p=0.04,
p=0.006 and p=0.01, respectively). We dichotomized our patients into less severe
(<5s) and more severe (≥5s) disability based on 25-foot walk test. The more severe disability group showed lower volumes
when compared to the less severe group in thalamus (p=0.01), caudate (p=0.001),
putamen (p=0.002), hippocampus (p=0.007), amygdala (p=0.007), accumbens
(p=0.003) and brainstem (p=0.03), but no significant differences in GM, WM, TB
and pallidum volume (p>0.05).Discussion
In
our cohort, 86% of our patients had GM lesions on DIR at 3T MRI, this is in
line with other studies9,10. However, these studies did not
investigate ADC of GM lesions nor correlate GM lesions with brain atrophy. The
percentage of enhancing lesions were similar for both GM and WM, suggesting
that loss of blood-brain barrier integrity is similar, our results could also
be explained that we included both intracortical and juxtacortical lesions, but
further studies are needed to make a conclusion. GM lesion counts strongly
correlated with GM and TB atrophy. GM lesion volumes strongly correlated with
GM, WM, TB and putamen atrophy. We also see more pronounced deep GM structures
atrophy in patients that have more severe disabilities. Our patients have
relatively mild disease, per disease duration, but we can see that GM lesions
play an important role in brain atrophy. GM lesion correlation is an area that
still remains to be explored, the few studies out there have inconsistent
results9,11. Future studies should include, longitudinal follow up
with additional MRI measures as well as correlation with neuropsychology tests. Conclusion
GM
MS lesions are present in the majority of MS patients, supporting the notion
that GM damage plays an important role in MS pathogenesis. GM lesion count and
volume correlate with brain atrophy. Patients with more severe disability as
measured with the 25 foot-walk test, show lower brain volumes in the deep GM. Identifying
early GM changes and understanding of GM lesion MRI-pathophysiology in vivo may
prove useful for management of the disease including improving targeted therapy
and monitoring of disease progression.Acknowledgements
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