Sona Saksena1, Mahdi Alizadeh2, Devon M Middleton3, Laura Krisa4, MJ Mulcahey4, Feroze B Mohamed1, and Scott H Faro3
1Radiology, Thomas Jefferson University, Philadelphia, PA, United States, 2Bioengineering, Temple University, Philadelphia, PA, United States, 3Radiology, Temple University, Philadelphia, PA, United States, 4Occupational Therapy, Thomas Jefferson University, Philadelphia, PA, United States
Synopsis
Synopsis: Hydromyelia
and syringomyelia are essentially cystic abnormalities of the spinal cord (SC).
The prevalence of these abnormalities in the clinically normal pediatric population
is uncommon to rare. Out of 26 healthy typically developing (TD) pediatric
subjects scanned in this study, 4 subjects had incidental findings of
hydromyelia (n=3) and syringomyelia (n=1) lesions within the thoracic SC. These
subjects were healthy and clinically normal. DTI parameters were calculated by
using ROIs drawn on the whole cord along the entire
SC. DTI parameters were significantly different in the cord above the subject
with syringomyelia lesion compared to the TD subjects. However, no significant
difference in DTI parameters was found in the cord above the subjects with hydromyelia
lesions. This study demonstrates that DTI has the potential to be used as an
imaging biomarker to evaluate the SC above and below the congenital lesions in
asymptomatic subjects and one should use caution while including them into a
normative data population.
Purpose
Hydromyelia and
syringomyelia are essentially cystic abnormalities of the spinal cord (SC).
Hydromyelia is a dilatation of the central canal of the SC while
syringomyelia is defined as a fluid-filled cavity within the SC
parenchma1,2. DTI has been shown to
assess the microstructural changes in patients with syringomyelia3. However, the prevalence of these abnormalities in the clinically
normal pediatric population is uncommon to rare. Out of 26 healthy typically
developing (TD) pediatric subjects scanned in this study, 16% had unexpected
incidental findings on conventional MRI. These incidental findings were present
in the thoracic SC and represented hydromyelia lesion in 3 subjects and
syringomyelia lesion in 1 subject. Since these subjects were healthy and
clinically normal, the cord above and below the lesions, normal on MRI would be
expected to be normal on DTI as well. The purpose of this study was to
quantitatively analyze the cord in these subjects using DTI and comparing to the cord of the TD population. In this study, we performed both group analysis and
single-subject analysis to evaluate DTI characteristics of the cord.
Methods
Out of 26 TD recruited
as part of large SC DTI study, 4 subjects had incidental findings of
hydromyelia and syringomyelia. Written informed assent and consent was obtained
under the protocol approved by IRB. Subjects underwent scans using a 3T MRI
scanner. The protocol consisted of conventional T1- and T2-weighted structural
scans and axial DTI scans based on inner field of view sequence4. The imaging parameters included: 3 averages of 20 diffusion
directions, 6 b0 acquisitions, b=800s/mm2, voxel size=0.8x0.8x6mm3, axial slices=40, TR=7900ms, TE=110ms and TA=8:49min. After
postprocessing5,6 FA, MD, AD and RD were calculated by using ROIs drawn on the whole
cord along the entire SC. The subjects with hydromyelia had lesions from T3-T4
to T5-T6 levels (subject 1), Mid T6 to T10-T11 (subject
2) and T7-T8 to Lower L1 (subject 3) while
subject with syringomyelia had lesion from Mid T3 to T4-T5 (subject
4). In all the subjects, the highest lesion was at Mid T3.
Hence, for group analysis, mean values from C1 to T2-T3 were compared to the
corresponding levels of the TD subjects. For single subject analysis, the cord
above (subjects 1, 2, 3, 4) and below (subjects 1, 2, 4) the lesions was
compared to the corresponding levels of the TD subjects respectively. Standard
least squares fit model based on restricted maximum likelihood (REML) method
was used. A p value ≤ 0.05 was statistically significant.Results
In the group analysis,
MD and AD were significantly different in the cord compared to the TD subjects
(Table 1). In single subject analysis, DTI parameters were significantly
different in the cord above the subject with syringomyelia lesion compared to
the TD subjects (Table 2). However, no significant difference in DTI parameters
was found in the cord above the subjects with hydromyelia lesions (Table 2). In
the cord below the hydromyelia lesion, no significant difference in DTI
parameters was found except for FA in subject 1 (Table 3). In the cord below
the syringomyelia lesion, MD, AD and RD were significantly different compared
to TD subjects (Table 3).Discussion
In the clinically normal pediatric subjects, the apriori theory was that
the cord above and below the congenital lesions should not be statistically
different from the TD population. However, we found that the cord above the
syringomyelia lesion demonstrated significant differences in DTI parameters
which may correlate to microstructural changes including demyelination, and or
axonal loss. Syringomyelia may have a different etiology, in comparison to
hydromyelia, possibly representing a combination of congenital and acquired
factors such as a subclinical prior demyelinating, traumatic or infectious or
inflammatory process. The cord above the hydromyelia lesion showed no
significant differences in DTI parameters suggesting that hydromyelia is likely
a more benign process than syringomyelia. In the group analysis, MD and AD were
significantly different in the cord above the lesion demonstrating that how a
single subject (subject 4) can affect the mean of group results which may not
correlate to a pathologic process. The limitation of this study is the small
sample size. Future work with large number of subjects is needed to assess the
DTI differences in the cord above and below these lesions.Conclusion
This study demonstrates
that DTI has the potential to be used as an imaging biomarker to evaluate the
SC above and below the congenital lesions in asymptomatic subjects and one
should use caution while including them into a normative data population. Acknowledgements
This work was
supported by National Institute of Neurological Disorders of the National
Institutes of Health under award number R01NS079635. References
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