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Multi-Parametric Spinal Cord MRI as Potential Progression Marker in Amyotrophic Lateral Sclerosis

Mohamed-Mounir El Mendili, Julien Cohen-Adad, Mélanie Pelegrini-Issac, Serge Rossignol, Régine Morizot-Koutlidis, Véronique Marchand-Pauvert, Caroline Iglesias, Sina Sangari, Rose Katz, Stéphane Lehericy, Habib Benali and Pierre-François Pradat

Article (2014)

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Objective: To evaluate multimodal MRI of the spinal cord in predicting disease progression and one-year clinical status in amyotrophic lateral sclerosis (ALS) patients.Materials and Methods: After a first MRI (MRI1), 29 ALS patients were clinically followed during 12 months; 14/29 patients underwent a second MRI (MRI2) at 1163 months. Cross-sectional area (CSA) that has been shown to be a marker of lower motor neuron degeneration was measured in cervical and upper thoracic spinal cord from T2-weighted images. Fractional anisotropy (FA), axial/radial/mean diffusivities (lambda(1), lambda(H1), MD) and magnetization transfer ratio (MTR) were measured within the lateral corticospinal tract in the cervical region. Imaging metrics were compared with clinical scales: Revised ALS Functional Rating Scale (ALSFRS-R) and manual muscle testing (MMT) score.Results: At MRI1, CSA correlated significantly (P &lt; 0.05) with MMT and arm ALSFRS-R scores. FA correlated significantly with leg ALFSRS-R scores. One year after MRI1, CSA predicted (P &lt; 0.01) arm ALSFSR-R subscore and FA predicted (P, 0.01) leg ALSFRS-R subscore. From MRI1 to MRI2, significant changes (P &lt; 0.01) were detected for CSA and MTR. CSA rate of change (i.e. atrophy) highly correlated (P &lt; 0.01) with arm ALSFRS-R and arm MMT subscores rate of change.Conclusion: Atrophy and DTI metrics predicted ALS disease progression. Cord atrophy was a better biomarker of disease progression than diffusion and MTR. Our study suggests that multimodal MRI could provide surrogate markers of ALS that may help monitoring the effect of disease- modifying drugs.

Uncontrolled Keywords

Amyotrophic Lateral Sclerosis; Demography; Disability Evaluation; Disease Progression; Female; Follow-Up Studies; Humans; Linear Models; Magnetic Resonance Imaging; Male; Middle Aged; Pyramidal Tracts; Spinal Cord

Subjects: 1900 Biomedical engineering > 1900 Biomedical engineering
2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering
9000 Health sciences > 9000 Health sciences
Department: Department of Electrical Engineering
Funders: Association Française contre les Myopathies (AFM), Institut pour la Recherche sur la Moelle épinière et l’Encéphale (IRME), Investissements d’avenir
Grant number: ANR-10-IAIHU-06
PolyPublie URL: https://publications.polymtl.ca/3465/
Journal Title: PLOS One (vol. 9, no. 4)
Publisher: PLOS
DOI: 10.1371/journal.pone.0095516
Official URL: https://doi.org/10.1371/journal.pone.0095516
Date Deposited: 23 Nov 2018 09:58
Last Modified: 11 Apr 2024 00:47
Cite in APA 7: El Mendili, M.-M., Cohen-Adad, J., Pelegrini-Issac, M., Rossignol, S., Morizot-Koutlidis, R., Marchand-Pauvert, V., Iglesias, C., Sangari, S., Katz, R., Lehericy, S., Benali, H., & Pradat, P.-F. (2014). Multi-Parametric Spinal Cord MRI as Potential Progression Marker in Amyotrophic Lateral Sclerosis. PLOS One, 9(4), e95516. https://doi.org/10.1371/journal.pone.0095516


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