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Monitoring for myelopathic progression with multiparametric quantitative MRI

BACKGROUND: Patients with mild degenerative cervical myelopathy (DCM) are often managed non-operatively, and surgery is recommended if neurological progression occurs. However, detection of progression is often subjective. Quantitative MRI (qMRI) directly measures spinal cord (SC) tissue changes, de...

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Autores principales: Martin, Allan R., De Leener, Benjamin, Cohen-Adad, Julien, Kalsi-Ryan, Sukhvinder, Cadotte, David W., Wilson, Jefferson R., Tetreault, Lindsay, Nouri, Aria, Crawley, Adrian, Mikulis, David J., Ginsberg, Howard, Massicotte, Eric M., Fehlings, Michael G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903654/
https://www.ncbi.nlm.nih.gov/pubmed/29664964
http://dx.doi.org/10.1371/journal.pone.0195733
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author Martin, Allan R.
De Leener, Benjamin
Cohen-Adad, Julien
Kalsi-Ryan, Sukhvinder
Cadotte, David W.
Wilson, Jefferson R.
Tetreault, Lindsay
Nouri, Aria
Crawley, Adrian
Mikulis, David J.
Ginsberg, Howard
Massicotte, Eric M.
Fehlings, Michael G.
author_facet Martin, Allan R.
De Leener, Benjamin
Cohen-Adad, Julien
Kalsi-Ryan, Sukhvinder
Cadotte, David W.
Wilson, Jefferson R.
Tetreault, Lindsay
Nouri, Aria
Crawley, Adrian
Mikulis, David J.
Ginsberg, Howard
Massicotte, Eric M.
Fehlings, Michael G.
author_sort Martin, Allan R.
collection PubMed
description BACKGROUND: Patients with mild degenerative cervical myelopathy (DCM) are often managed non-operatively, and surgery is recommended if neurological progression occurs. However, detection of progression is often subjective. Quantitative MRI (qMRI) directly measures spinal cord (SC) tissue changes, detecting axonal injury, demyelination, and atrophy. This longitudinal study compared multiparametric qMRI with clinical measures of progression in non-operative DCM patients. METHODS: 26 DCM patients were followed. Clinical data included modified Japanese Orthopedic Association (mJOA) and additional assessments. 3T qMRI data included cross sectional area, diffusion fractional anisotropy, magnetization transfer ratio, and T2*-weighted white/grey matter signal ratio, extracted from the compressed SC and above/below. Progression was defined as 1) patients’ subjective impression, 2) 2-point mJOA decrease, 3) ≥3 clinical measures worsening ≥5%, 4) increased compression on MRI, or 5) ≥1 of 10 qMRI measures or composite score worsening (p < 0.004, corrected). RESULTS: Follow-up (13.5 ± 4.9 months) included mJOA in all 26 patients, MRI in 25, and clinical/qMRI in 22. 42.3% reported subjective worsening, compared with mJOA (11.5%), MRI (20%), comprehensive assessments (54.6%), and qMRI (68.2%). Relative to subjective worsening, qMRI showed 100% sensitivity and 53.3% specificity compared with comprehensive assessments (75%, 60%), mJOA (27.3%, 100%), and MRI (18.2%, 81.3%). A decision-making algorithm incorporating qMRI identified progression and recommended surgery for 11 subjects (42.3%). CONCLUSIONS: Quantitative MRI shows high sensitivity to detect myelopathic progression. Our results suggest that neuroplasticity and behavioural adaptation may mask progressive SC tissue injury. qMRI appears to be a useful method to confirm subtle myelopathic progression in individual patients, representing an advance toward clinical translation of qMRI.
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spelling pubmed-59036542018-04-27 Monitoring for myelopathic progression with multiparametric quantitative MRI Martin, Allan R. De Leener, Benjamin Cohen-Adad, Julien Kalsi-Ryan, Sukhvinder Cadotte, David W. Wilson, Jefferson R. Tetreault, Lindsay Nouri, Aria Crawley, Adrian Mikulis, David J. Ginsberg, Howard Massicotte, Eric M. Fehlings, Michael G. PLoS One Research Article BACKGROUND: Patients with mild degenerative cervical myelopathy (DCM) are often managed non-operatively, and surgery is recommended if neurological progression occurs. However, detection of progression is often subjective. Quantitative MRI (qMRI) directly measures spinal cord (SC) tissue changes, detecting axonal injury, demyelination, and atrophy. This longitudinal study compared multiparametric qMRI with clinical measures of progression in non-operative DCM patients. METHODS: 26 DCM patients were followed. Clinical data included modified Japanese Orthopedic Association (mJOA) and additional assessments. 3T qMRI data included cross sectional area, diffusion fractional anisotropy, magnetization transfer ratio, and T2*-weighted white/grey matter signal ratio, extracted from the compressed SC and above/below. Progression was defined as 1) patients’ subjective impression, 2) 2-point mJOA decrease, 3) ≥3 clinical measures worsening ≥5%, 4) increased compression on MRI, or 5) ≥1 of 10 qMRI measures or composite score worsening (p < 0.004, corrected). RESULTS: Follow-up (13.5 ± 4.9 months) included mJOA in all 26 patients, MRI in 25, and clinical/qMRI in 22. 42.3% reported subjective worsening, compared with mJOA (11.5%), MRI (20%), comprehensive assessments (54.6%), and qMRI (68.2%). Relative to subjective worsening, qMRI showed 100% sensitivity and 53.3% specificity compared with comprehensive assessments (75%, 60%), mJOA (27.3%, 100%), and MRI (18.2%, 81.3%). A decision-making algorithm incorporating qMRI identified progression and recommended surgery for 11 subjects (42.3%). CONCLUSIONS: Quantitative MRI shows high sensitivity to detect myelopathic progression. Our results suggest that neuroplasticity and behavioural adaptation may mask progressive SC tissue injury. qMRI appears to be a useful method to confirm subtle myelopathic progression in individual patients, representing an advance toward clinical translation of qMRI. Public Library of Science 2018-04-17 /pmc/articles/PMC5903654/ /pubmed/29664964 http://dx.doi.org/10.1371/journal.pone.0195733 Text en © 2018 Martin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Martin, Allan R.
De Leener, Benjamin
Cohen-Adad, Julien
Kalsi-Ryan, Sukhvinder
Cadotte, David W.
Wilson, Jefferson R.
Tetreault, Lindsay
Nouri, Aria
Crawley, Adrian
Mikulis, David J.
Ginsberg, Howard
Massicotte, Eric M.
Fehlings, Michael G.
Monitoring for myelopathic progression with multiparametric quantitative MRI
title Monitoring for myelopathic progression with multiparametric quantitative MRI
title_full Monitoring for myelopathic progression with multiparametric quantitative MRI
title_fullStr Monitoring for myelopathic progression with multiparametric quantitative MRI
title_full_unstemmed Monitoring for myelopathic progression with multiparametric quantitative MRI
title_short Monitoring for myelopathic progression with multiparametric quantitative MRI
title_sort monitoring for myelopathic progression with multiparametric quantitative mri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903654/
https://www.ncbi.nlm.nih.gov/pubmed/29664964
http://dx.doi.org/10.1371/journal.pone.0195733
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