Laleh Eskandarian1,2, Bahadır Konuskan3, Hacer Dasgin2, Ismail Solmaz3, Rahsan Gocmen4, Banu Anlar4, and Kader Karli Oguz2,4
1Neuroscience Department, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Faculty of Medicine, Pediatric Neurology, Hacettepe University, Ankara, Turkey, 4Faculty of Medicine, Department of Radiology, Hacettepe University, Ankara, Turkey
Synopsis
Pediatric-onset-Multiple-Sclerosis
(POMS) has been reported to have larger and higher number of T2 lesions as with
more frequent posterior fossa involvement compared to adults. We aimed to analyze
POMS patients morphological, microstructural alterations and their correlates
with clinical characteristics with emphasis on posterior system. SUIT,Freesurfer
and TBSS were used for spatialized parcellation, and analysis. Cerebellum
except paramedian structures and cerebral cortices showed volume reductions,
cerebral white matter and midbrain showed reduced FA and increased MD,AD,RD.
Total and periventricular lesion loads, thalamic volumes showed correlations
with special clinical metrics. Multiparametric brain MRI may reveal information
on tissue changes and clinical correlates.
Introduction
Reports state more frequent relapses with faster
recovery and more extensive axonal injury1,2, larger and higher total number
of T2 lesions, more frequent posterior fossa involvement in first brain MRI at
diagnosis in pediatric-onset Multiple Sclerosis (POMS) compared to adults3. Lesion load measures poorly correlate with the
extent of the disease and clinical status. We aimed to analyze images in POMS
patients to search for morphological, microstructural alterations and their
correlates with clinical characteristics. Because of reportedly more frequent
lesions, we focused more on posterior fossa involvement in POMS.Methods
The study protocol was
approved by IRB and all participants gave informed consent.
Subjects
Twenty-two patients with POMS and 19 healthy controls(HCs)(M/F;
5/17, 3/16; Mean age+-SD; 18.04+- 1.83 and 16.47+- 2.58 respectively; p>0.05)
participated in the study. Demographic and clinical features including disease
onset age, duration of the disease, number of total episodes, episodes related
to sensory, motor, brainstem and cerebellar symptoms, and Expanded Disability
Status Scale (EDSS) score of the patients at the time of imaging were
documented.
Image
Acquisition
All participants underwent
MR imaging on 1.5 T scanner (Achieva, Philips, Netherlands). Imaging protocol included structural 3D T1-weighted, 3D
FLAIR imaging and diffusion tensor imaging (DTI) of the whole brain obtained in
32 independent directions.
Data Processing and Analysis
Hyperintense lesion load volumes (cm3) were
calculated using volBRain(4,5) for periventricular, juxtacortical and deep white
matter from 3D FLAIR images. Additionally, we drew the lesions in the cerebellum
and brainstem manually and calculated their
volumes using FSL-Maths6.
Then, structural analyses were performed using
Freesurfer image analysis package version 6.0.0 Preprocessing steps included
removal of non-brain tissue, subcortical segmentation7 and identification of
white matter/gray matter boundary based on cortical reconstruction and volumetric
parcellation. Cortex was then registered to Desikan Killiany Atlas and parcelled
into volumetric units, automatically parcellated and combined to create average
volume for total gray matter (GM) and lobar regions. Significant differences in
whole brain volume were compared for the patients and HCs using GLM embedded in
the QDEC (Query, Design, Estimate, and Contrast) interface of Freesurfer v6.0.0,
the cluster-corrected significance level was set to 5% and Monte Carlo null
hypothesis simulations were applied.
Cerebellar segmentation and related volume measurement
was performed using a spatially unbiased infra-tentorial template (SUIT)8.
We used tract-based spatial statistics (TBSS)9 included in the FSL v.6.0 package for voxelwise whole-brain DTI. After
preprocessing of the diffusion-weighted data, diffusion tensor fitting (FSL
DTIFit), and calculation of FA, MD, AD, RD maps, FA maps were registered and
aligned to the average space as input for TBSS, and the mean FA skeleton was
computed. A permutation-based inference with 500 permutations was performed for
voxel-wise statistics on FA. Threshold-free cluster enhancement output was
obtained and corrected for multiple comparisons. Family-wise error
(FWE)-corrected maps were obtained with P-values <0.05. Cluster-based
thresholding was performed, which included Gaussian smoothing, application of a
threshold (t: 1.5), and forming clusters from 26 neighboring suprathreshold
voxels.
Statistical analysis for group differences and correlation of imaging
data with clinical parameters was performed using SPSS v.17.0 for Windows. Results
Structural Changes
As compared with HCs, patients showed significantly reduced volumes in
bilateral thalamus, and central-mid-anterior segments of the corpus callosum.
There were also extensive reductions in hemispheric cortical volume at p of
<0.05 as displayed on 3D surface –rendered inflated maps (Figure1).
SPM-SUIT revealed that 23 of totally 28 regions of the cerebellum and
vermis showed statistically significant reduced volumes in the patients. Areas
without cerebellar volume reduction were mainly the paramedian cerebellar
structures (Figure2).
Lesion Burden and
Correlations with Morphometric Changes and Clinical Metrics
Total and particularly periventricular lesion load showed positive
correlation with duration of disease (p=0.01 and p=0.001 respectively), and
negative correlation with disease-onset age (p=0.01 for both) and positively
correlated with EDSS (0.024 and p=0.018). Deep WM lesions had a significant
positive correlation with events related to brainstem (p=0.026), infratentorial
lesions with number of motor episodes (p=0.016). Juxtacortical lesion loads did
not reveal any correlation with clinical findings (p>0.05).
EDSS itself had correlation with cerebellar tests abnormality (p=0.00)
and periventricular lesion load (p=0.018).
Total or compartmental lesion loads did not have any correlation with
corpus callosum and thalamus volumes (p>0.05). However, thalamus volumes
showed negative correlations with number of demyelinating episodes (p=0.005)
and number of sensory episodes (p=0.01).
Whole-brain DTI/TBSS
TBSS maps revealed widespread reduction in FA and increase in MD, RD
and AD values prominent in the corpus callosum, internal-external capsules,
superior longitudinal fascicles, optic radiations. Surprisingly there was no
detected significant voxel in the cerebellum, and cerebral peduncles including
corticospinal tracts showed similar changes (Figure3).Conclusion
Compared to HC, POMS patients showed widespread
volume reduction in the cerebellum, cerebral cortex and both thalami and anterior
corpus callosum. Lesion loads, mostly periventricular lesions had positive
correlation with duration of the disease and EDSS, and decreased volume of thalami
was related to total number of demyelinating episodes and sensory events.
Detailed multiparametric imaging analysis of posterior fossa involvement is
necessary to reveal distinct clinical course, thus in turn more effective
treatment in POMS patientsAcknowledgements
No acknowledgement found.References
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