Literature DB >> 28070886

Spinal cord atrophy in anterior-posterior direction reflects impairment in multiple sclerosis.

H Lundell1, O Svolgaard1, A-M Dogonowski1, J Romme Christensen2, F Selleberg2, P Soelberg Sørensen2, M Blinkenberg2, H R Siebner1,3, E Garde1.   

Abstract

OBJECTIVE: To investigate how atrophy is distributed over the cross section of the upper cervical spinal cord and how this relates to functional impairment in multiple sclerosis (MS).
METHODS: We analysed the structural brain MRI scans of 54 patients with relapsing-remitting MS (n=22), primary progressive MS (n=9), secondary progressive MS (n=23) and 23 age- and sex-matched healthy controls. We measured the cross-sectional area (CSA), left-right width (LRW) and anterior-posterior width (APW) of the spinal cord at the segmental level C2. We tested for a nonparametric linear relationship between these atrophy measures and clinical impairments as reflected by the Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Impairment Scale (MSIS).
RESULTS: In patients with MS, CSA and APW but not LRW were reduced compared to healthy controls (P<.02) and showed significant correlations with EDSS, MSIS and specific MSIS subscores.
CONCLUSION: In patients with MS, atrophy of the upper cervical cord is most evident in the antero-posterior direction. As APW of the cervical cord can be readily derived from standard structural MRI of the brain, APW constitutes a clinically useful neuroimaging marker of disease-related neurodegeneration in MS.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  atrophy; magnetic resonance imaging; multiple sclerosis; spinal cord

Mesh:

Year:  2017        PMID: 28070886     DOI: 10.1111/ane.12729

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  3 in total

1.  Intersubject Variability and Normalization Strategies for Spinal Cord Total Cross-Sectional and Gray Matter Areas.

Authors:  Nico Papinutto; Carlo Asteggiano; Antje Bischof; Tristan J Gundel; Eduardo Caverzasi; William A Stern; Stefano Bastianello; Stephen L Hauser; Roland G Henry
Journal:  J Neuroimaging       Date:  2019-09-30       Impact factor: 2.486

2.  Automated Cervical Spinal Cord Segmentation in Real-World MRI of Multiple Sclerosis Patients by Optimized Hybrid Residual Attention-Aware Convolutional Neural Networks.

Authors:  América Bueno; Ignacio Bosch; Alejandro Rodríguez; Ana Jiménez; Joan Carreres; Matías Fernández; Luis Marti-Bonmati; Angel Alberich-Bayarri
Journal:  J Digit Imaging       Date:  2022-07-05       Impact factor: 4.903

3.  Heritability of cervical spinal cord structure.

Authors:  Linda Solstrand Dahlberg; Olivia Viessmann; Clas Linnman
Journal:  Neurol Genet       Date:  2020-02-26
  3 in total

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