Tomohiro Takamura1, Shou Murata2, Koji Kamagata3, Kouhei Tsuruta2, Masaaki Hori3, Michimasa Suzuki3, and Shigeki Aoki3
1University of Yamanashi, Yamanashi, Japan, 2Tokyo Metropolitan University, Tokyo, Japan, 3Juntendo University, Tokyo, Japan
Synopsis
Recently, patients with
neuromyelitis optica (NMO) have shown extensive white matter damage, which
could be related not only to Wallerian degeneration resulting from lesions of
spinal cord or optic tracts but also to demyelination by using diffusion-tensor
(DT) MRI imaging. This study aimed to evaluate the expansion of white matter
damage in NMO assessed using neurite orientation dispersion and density imaging
(NODDI), as well as its relationship with disease severity by applying Tact
Based Spatial Statistics (TBSS).Purpose
To apply Tact Based Spatial Statistics (TBSS)
1) to evaluate the expansion of white matter damage in
neuromyelitis optica (NMO) assessed by neurite orientation dispersion and
density imaging (NODDI), as well as its relationship with disease severity.
Methods
Twenty-four clinically confirmed NMO patients (20 women and 4 men; age
49.5 ± 11.9 years) and 23 age- and sex- matched healthy controls (control; 15
women and 8 men; age 45.9 ± 23.3 years) participated in this retrospective
study. Informed consent was obtained from all the participants before
evaluation. Diffusion data were acquired on
a clinical 3T-MRI scanner (Philips Medical systems) as follows: TR/TE 4577/80
ms; 40 slices with thickness 3 mm; resolution 3×3 mm; imaging time of
approximately 11 min; 3 b values (0, 1000, 2000) with diffusion encoding in 32
noncolinear directions for every b value. We generated FA maps by applying
diffusion-weighted images with values of 0, 1000 sec/mm2. NODDI
images including intracellular volume fraction (ICVF) and orientation
dispersion index (ODI) map were computed by applying diffusion-weighted
images with values of 0, 1000 and 2000 sec/mm2. TBSS
was applied for voxel-wise analysis of FA, ODI, and ICVF maps. Group
differences between NMO patients and controls were performed. Correlations with
EDSS score in NMO patients group were also reported (adjusted for disease
duration). The resulting
statistical maps threshold was set at p < 0.05, with correction for
multiple comparisons by using the threshold-free cluster enhancement (TFCE)
1). All the anatomic
information was based on the Johns Hopkins University white matter tractography atlas and the International Consortium
for Brain Mapping (JHU-ICBM) DTI-81 white matter labels.
In addition, we performed ROI study in the regions where
significant correlation between FA and EDSS score, and between ICVF and EDSS
score, were found in the TBSS study. ROIs
were drawn by aligning common parts of the FA map and the registered ODI and
ICVF maps based on the mean FA skeleton and by applying the JHU-ICBM DTI-81 white matter labels.
Results
In the voxel-wise group comparison, almost all the white matter tracts
showed significantly reduced FA and increased ODI in NMO (Fig.1), while ICVF
showed no significant differences. When we reset the threshold to P < 0.01,
we found reduced FA in genu, body, and splenium of the corpus callosum, right
and left anterior corona radiate, right and left superior corona radiate, right
and left posterior corona radiate, right posterior thalamic radiation
(including optic radiation), and right anterior limb of internal capsule.
Increased ODI was also found in genu and body of the corpus callosum, left
superior corona radiat, and left posterior corona radiate. In the correlation analyses,
significant inverse correlations were observed between FA and EDSS score in
genu and body of corpus callosum, left anterior limb of internal capsule, and
left and right anterior corona radiate (Fig.2). ICVF also inversely correlated
with EDSS score in the same significant white matter tracts of FA, in addition
to right anterior limb of internal capsule, left posterior limb of internal
capsule, and left external capsule (Fig.2). ODI showed no significant
correlation.
ROI analysis for
significantly correlated area with FA (5 areas) and ICVF (8 areas) showed that
only ICVF of genu of corpus callosum were significant between relatively severe
patients and mild patients (severe vs. mild, 0.583 vs 0.647; P = 0.0008,
significance level was set at 0.05/13 = 0.0038, applying Bonferroni correction,
Mann Whitney U test).
Discussion
A recent study
2) in NMO patients showed extensive white
matter damage, which could be related with not only Wallerian degeneration
resulting from lesions of spinal cord or optic tracts but also demyelination by
using diffusion-tensor (DT) MRI imaging. Similarly, we found extensively reduced FA of white
matter tracts in NMO patients. Our results also demonstrated that extensively increased
ODI, which suggests a loss of fiber coherence
3), was related with white
matter damage in NMO. In correlation analyses, FA and ICVF were inversely
correlated with EDSS score. Moreover, we found that significant areas were observed
more extensively in ICVF than FA, and ICVF of genu of corpus callosum was the
only significant hallmark in relatively severe NMO patients. Our results
suggests that compared to FA or ODI, loss of neurite density in genu of corpus
callosum, which is estimated by ICVF
3), could be a more
sensitive marker for disease severity.
Conclusion
NMO patients showed extensively increased ODI compared with healthy
controls. Moreover, ICVF of genu of corpus callosum could be a sensitive marker
for disease severity in NMO patients.
Acknowledgements
No acknowledgement found.References
1) Smith SM, et al. NeuroImage 2006;31:1487-1505, 2) Rueda Lopes FC, et al. Radiology
2012;263:235-242, 3) Zhang H, et
al. NeuroImage 2012;61:1000-1016