Quantification of spinal cord compression using T1 mapping in patients with cervical spinal canal stenosis - Preliminary experience.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2019
Historique:
received: 02 04 2018
revised: 22 10 2018
accepted: 09 12 2018
pubmed: 17 12 2018
medline: 18 12 2019
entrez: 17 12 2018
Statut: ppublish

Résumé

Degenerative changes of the cervical spinal column are the most common cause of spinal cord lesions in the elderly. Conventional clinical, electrophysiological and radiological diagnostics of spinal cord compression are often inconsistent. The feasibility and diagnostic potential of a novel T1 mapping method at 0.5 mm resolution and 4 s acquisition time was evaluated in 14 patients with degenerative cervical spinal canal stenosis (SCS) and 6 healthy controls. T1 mapping was performed in axial sections of the stenosis as well as above and below. All subjects received standard T2-weighted MRI of the cervical spine (including SCS-grading 0-III), electrophysiological and clinical examinations. Patients revealed significantly decreased T1 relaxation times of the compressed spinal cord within the SCS (912 ± 53 ms, mean ± standard deviation) in comparison to unaffected segments above (1027 ± 39 ms, p < .001) and below (1056 ± 93 ms, p < .001). There was no difference in mean T1 in unaffected segments in patients (p = .712) or between segments in controls (p = .443). Moreover, T1 values were significantly lower in grade II (881 ± 46 ms, p = .005) than in grade I SCS (954 ± 29 ms). Patients with central conduction deficit tended to have lower T1 values within the SCS than patients without (909 ± 50 ms vs 968 ± 7 ms, p = .069). Rapid high-resolution T1 mapping is a robust MRI method for quantifying spinal cord compression in patients with cervical SCS. It promises additional diagnostic insights and warrants more extended patient studies.

Sections du résumé

BACKGROUND
Degenerative changes of the cervical spinal column are the most common cause of spinal cord lesions in the elderly. Conventional clinical, electrophysiological and radiological diagnostics of spinal cord compression are often inconsistent.
MATERIALS AND METHODS
The feasibility and diagnostic potential of a novel T1 mapping method at 0.5 mm resolution and 4 s acquisition time was evaluated in 14 patients with degenerative cervical spinal canal stenosis (SCS) and 6 healthy controls. T1 mapping was performed in axial sections of the stenosis as well as above and below. All subjects received standard T2-weighted MRI of the cervical spine (including SCS-grading 0-III), electrophysiological and clinical examinations.
RESULTS
Patients revealed significantly decreased T1 relaxation times of the compressed spinal cord within the SCS (912 ± 53 ms, mean ± standard deviation) in comparison to unaffected segments above (1027 ± 39 ms, p < .001) and below (1056 ± 93 ms, p < .001). There was no difference in mean T1 in unaffected segments in patients (p = .712) or between segments in controls (p = .443). Moreover, T1 values were significantly lower in grade II (881 ± 46 ms, p = .005) than in grade I SCS (954 ± 29 ms). Patients with central conduction deficit tended to have lower T1 values within the SCS than patients without (909 ± 50 ms vs 968 ± 7 ms, p = .069).
CONCLUSION
Rapid high-resolution T1 mapping is a robust MRI method for quantifying spinal cord compression in patients with cervical SCS. It promises additional diagnostic insights and warrants more extended patient studies.

Identifiants

pubmed: 30553763
pii: S2213-1582(18)30387-5
doi: 10.1016/j.nicl.2018.101639
pmc: PMC6411921
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101639

Informations de copyright

Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Ilko L Maier (IL)

Department of Neurology, University Medical Center Göttingen, Germany. Electronic address: ilko.maier@med.uni-goettingen.de.

Sabine Hofer (S)

Biomedizinische NMR, Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany. Electronic address: shofer1@gwdg.de.

Arun A Joseph (AA)

Biomedizinische NMR, Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany; German Center for Cardiovascular Research (DZHK), partner site Göttingen, Germany.

K Dietmar Merboldt (KD)

Biomedizinische NMR, Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany.

Eva Eggert (E)

Department of Neurology, University Medical Center Göttingen, Germany.

Daniel Behme (D)

Department of Neuroradiology, University Medical Center Göttingen, Germany.

Katharina Schregel (K)

Department of Neuroradiology, University Medical Center Göttingen, Germany.

Christian von der Brelie (C)

Department of Neurosurgery, University Medical Center Göttingen, Germany.

Veit Rohde (V)

Department of Neurosurgery, University Medical Center Göttingen, Germany.

Jan Koch (J)

Department of Neurology, University Medical Center Göttingen, Germany.

Marios-Nikos Psychogios (MN)

Department of Neuroradiology, University Medical Center Göttingen, Germany.

Jens Frahm (J)

Biomedizinische NMR, Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany; German Center for Cardiovascular Research (DZHK), partner site Göttingen, Germany.

Jan Liman (J)

Department of Neurology, University Medical Center Göttingen, Germany.

Mathias Bähr (M)

Department of Neurology, University Medical Center Göttingen, Germany.

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