Henitsoa Rasoanandrianina1,2,3,4, Aude-Marie Grapperon5, Manuel Taso1,2,3,4, Olivier M. Girard1,2, Guillaume Duhamel1,2, Elisabeth Soulier1,2, Lauriane Pini1,2, Audrey Rico6, Bertrand Audoin6, Maxime Guye1,2, Jean-Philippe Ranjeva1,2, and Virginie Callot1,2,3
1CRMBM UMR 7339, Aix-Marseille Université, CNRS, Marseille, France, 2CEMEREM, AP-HM, Pôle d'Imagerie Médicale, Hopital de La Timone, Marseille, France, 3iLab-Spine International Associate Laboratory, Marseille/Montréal, France, 4LBA UMR T 24, Aix-Marseille Université, IFSTTAR, Marseille, France, 5Service de Neurologie et Maladies neuro-musculaires, AP-HM,Hopital de La Timone, Marseille, France, 6Service de Neurologie et Unité NeuroVasculaire, AP-HM,Hopital de La Timone, Marseille, France
Synopsis
In this study,
regional alteration of the spinal cord (SC) tissue encountered in amyotrophic
lateral sclerosis (ALS) were investigated using dedicated SC templates and 3T-multiparametric
MRI techniques, in particular diffusion tensor imaging (DTI) and the emerging myelin-specific
inhomogeneous magnetization transfer (ihMT) technique.
Results collected on 9
patients showed significant alteration of the DTI metrics compared to
age-matched controls. They also demonstrated impairment of the MT metrics in
the bilateral corticospinal tracts, as well as in the dorsal sensory tracts and
the anterior gray matter horns. Combined with reduced ihMT metric variations,
this suggests increase of the macromolecular pool, without pronounced
demyelination.
The structural changes we observed suggest a complex
chrono-physiopathology that need to be further investigated. Target audience
MRI researchers, neuroscientists and clinicians involved in research on
amyotrophic lateral sclerosis (ALS) and degenerative spinal cord (SC) MR
imaging.
Introduction
Amyotrophic lateral
sclerosis (ALS) is a neurodegenerative disease characterized by a progressive
alteration, dysfunction and death of both upper and lower motor neurons. Its diagnosis is
based on clinical and electrophysiological criteria, but multi-parametric MRI may
also be helpful to provide information about the degree of tissue degradation. Cerebral white and gray matter (WM/GM) involvement,
although not yet fully understood, have already been largely described using
structural MRI[1, 2]. However, few SC descriptions have been given
so far, mainly due to technical limitations related to the small size of the cord
and physiological motion.
In this study, we used
DTI and
the emerging myelin-specific inhomogeneous magnetization transfer imaging technique
(ihMT)[3, 4] to assess structural changes occurring within
specific SC regions of interest. Correlations with disease severity evaluated
by the revised ALS functional rating scale (ALSFRS-R) were also investigated.
Material and Methods
MR explorations: 9 patients with ALS (56±8yo, ALSFRS-R=37.0±5.8) and 9 age-matched healthy controls (HC, 55±8yo) were scanned at 3T using commercial RF
coils and a multi-parametric MR protocol consisting in anatomical, diffusion,
and inhomogeneous MT acquisitions (cf. Fig.1
for sequence parameters). Two patients with progressive Multiple Sclerosis (MS)
(53±7yo, EDSS=5.0±1.4), for which primary demyelination is expected,
were additionally included as preliminary controls to study the specificity of
our MR parameters.
Post-processing relied on the SC Toolbox [5], probabilistic atlases [6-8] and a customized MATLAB pipeline allowing specific
processing for ihMT SC data [9] and automatic metrics extraction within bilateral
corticospinal tracts (CST), posterior sensitive tracts (SP), and anterior gray
matter horns (aGM) (Fig.2). Statistical
analysis was conducted to compare the metrics obtained in ALS and HC groups. MS
patients were not yet considered for statistics (n=2).
Clinical scores for ALS included ALSFRS-R, grip strength,
Medical Research Council (MRC) Scale and Upper Motor Neuron (UMN) score [10].
Results
Representative multi-parametric
maps collected on patients and controls are illustrated on Fig.3. When analyzing metrics extracted at each level within each
ROI, significant structural differences were found in ALS compared to HC.
Distribution for the main diffusivities, MT and ihMT are summarized in Fig.4.
Interestingly,
elevated
$$$\lambda_{\bot}$$$ and MTR were
observed, with moderate ihMTR decrease, suggesting destructuration and increase
of the macromolecular pool, without pronounced demyelination. Statistical
differences were also observed for FA (decrease, mainly in the CST) and ADC
(increase, mainly in GM) (data not shown), most probably as a consequence of an
increased $$$\lambda_{\bot}$$$.
Correlations of MR
metrics with clinical scores were also observed (i) in the CST for $$$\lambda_{\bot}$$$, $$$\lambda_{//}$$$,FA and MTR at C2, and for $$$\lambda_{\bot}$$$ C5; (ii)
in the SP for all DTI metrics and MTR; and (iii) for almost all metrics in the
aGM at C5. Moreover, MTR values,
initially higher than those of HCs, seemed to decrease with duration of the disease,
suggesting a multi-phasic evolution with preliminary axonal impairment followed
by installation of a demyelinating process (decrease of ihMTR, cf. Fig.5). However, no strong correlation
could yet support this observation.
Finally, considering the preliminary results
extracted from the 2 MS patients, DTI metrics were altered, although not
significantly, with the same trend as for ALS patients. Most importantly, the ihMTR
was lower by at least 13% (p<0.05) in the whole SC at both levels, all ROI
considered, suggesting an important diffuse demyelination of WM tracts.
Discussion / Conclusion
Altogether, the DTI,
MT and ihMT metrics in ALS patients showed significant SC structural changes consistent with ALS pathophysiology, not only in the CST [11-14] and the SP tracts [15], but also in the aGM horns (where motoneuron death
is expected). The variations observed in the MTR and ihMTR also seem to
reinforce the literature: the alteration observed in MS patients is consistent
with the primary demyelination in MS pathophysiology, and tendency of alteration in
ALS patients suggestive of a secondary demyelination process.
Although not yet
possible due to low statistical power, one could possibly hypothesize that a
multivariate analysis combining the different and complementary parameters
collected in this study will give new insights into the pathology and lead to a
better characterization of the spatio-temporal SC neurodegeneration and
stratification of patients (Fig.5).
For that purpose, further inclusions and ideally patient follow-ups will be
conducted using both multi-parametric MR and atlas-based approaches.
Further methodological
developments will also be conducted so as to be able to investigate multiple SC
levels within an acceptable scan time, and to fully exploit the contrast
mechanism provided by the ihMT technique [3, 9].
Acknowledgements
No acknowledgement found.References
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