Multiple Sclerosis Clinical Trial
Official title:
Physiologic Interindividual Variability of Volume and Atrophy in Central Nervous System Structures With Focus on Spinal Cord as Measured by Quantitative Magnetic Resonance Imaging.
Spinal cord (SC) involvement is prevalent in multiple sclerosis (MS) and contributes
importantly to disease progression. To be able reliably evaluate spinal cord volume and its
changes in MS patients we need to understand variability of these parameters in sex and age
matched healthy controls (HC). To date, no generally available data about these parameters in
HC are available.
The objective of this study is to investigate age and sex matched HC by MRI to get the basic
set of the data representing both cross sectional values and its longitudinal changes.
The present study will also investigate different strategies how to normalize the absolute
spinal cord and brain volume data, what is a relationship between spinal cord volume and
brain volume and what is the best protocol to be used in a routine clinical practice.
Multiple sclerosis (MS) is a chronic immune-mediated inflammatory and neurodegenerative
disease that affects central nervous system. Magnetic resonance imaging (MRI) is the main
paraclinical examination used to monitor disease activity and response to treatment. However,
there is only limited correlation between the clinical symptoms and findings seen on the
conventional MRI - a phenomena called clinical-radiological paradox. Measuring whole and
regional brain atrophy provides additional information to MRI and seems to correlate better
with clinical course and prognosis. In the last two decades, brain atrophy in MS has been
exten sively studied, cut-offs for brain volume loss over time has been established and it is
likely that it will become an important outcome measure in both clinical studies and routine
practice.
Compared to brain atrophy, spinal cord (SC) atrophy and its relation to MS-related disability
has been given less attention. This is partly due to technical challenges such as
inhomogeneous magnetic field in this region, small physical dimensions of SC and artefacts
caused by motion of the SC within the spinal canal together with the flow of cerebrospinal
fluid and periodic motion due to respiratory and cardiac cycles. Moreover, focal spinal cord
MS lesions may cause both swelling and shrinking of SC that influence its absolute volume,
resulting in problems with interpretation of absolute SC volume in MS. Despite all these
challenges, it is possible to identify SC lesions and reliably measure SC volume, but there
is no "gold standard" (standardized) software for SC volume measurement and no agreement on
the SC level (segments) that is most suitable for SC volume loss measurement.
During 2016 we have developed an in-house semiautomatic pipeline for measurement of cervical
spinal cord volume that is a part of Scanview program. The segmentation is performed on
T2-weighted images. In the first step, a marker is manually placed in a center of an
intervertebral disc C3-4 (sagittal plane). Subsequently a cord straightening (manual rotation
of the cord to achieve a perpendicular orientation of spinal cord to dorsal part of C3
vertebral body), that enable to reduce partial volume due to the cord orientation. After this
centering and straightening,transformation matrix is saved and all subsequent steps are fully
automatized. These steps include: 1. Sub-pixel division, 2. Reversing the contrast of
T2-weighted images and smoothing by applying a set of median, Gaussian and edge-enhancing
filters and 4. Cubic spline interpolation to find a curve that represents a border of a
spinal cord with highest probability. Finally, a sum of mean areas of 21 1-mm slices is
calculated (1 center slice fixed at center of a intervertebral disc C3-4 and 2 x 10 slices in
cranial and caudal direction. Using this new software we have assessed 1,036 MS patients
during 2016 and 2017. The intra- and inter-rater variability of SC volume assessment was done
by using the intraclass correlation coefficient (ICC) with a two-way mixed absolute agreement
and single-measures design. The analysis confirmed very good consistency (> 98%) of the
method. The preliminary results showed a significant correlation between spinal cord volume
and different clinical phenotypes.
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