Literature DB >> 12638021

Magnetic resonance imaging of the cervical spinal cord in multiple sclerosis--a quantitative T1 relaxation time mapping approach.

Lalitha Vaithianathar1, Chris R Tench, Paul S Morgan, Cris S Constantinescu.   

Abstract

BACKGROUND: The spinal cord is a common site of involvement in multiple sclerosis (MS) where pathology contributes substantially to locomotor disability. Previous studies have demonstrated significant correlations between clinical disability and cervical cord atrophy, but not with cord T(2) lesion load. We evaluate cervical cord pathology using, for the first time, quantitative T(1) relaxation time (T(1)), which shows histopathological specificity for tissue damage in the cerebral white matter.
METHOD: Cervical cord T(1) was compared in 15 MS patients [8 relapsing-remitting (RR), 7 secondary progressive (SP)] and 6 healthy controls, and related to normalised upper cervical cord area (UCCa), cerebral white matter T(1), T(2) lesion load and disability measures including the Expanded Disability Status Scale (EDSS), Ambulation index (AI) and timed 25-foot walk. T1 maps of the brain and cervical cord were acquired using a high-resolution, 3-dimensional fast low-angle shot sequence. Dual-echo sequences were also obtained.
RESULTS: Median cervical cord T(1) [mean (standard deviation)] was significantly greater in RR [854 [28] ms] (p = 0.0006) and SP patients [927 [67] ms] (p < 0.0001) compared with controls [888 [61] ms], and in SP vs. RR patients (p = 0.002). In the overall patient cohort, it correlated significantly with median cerebral white matter T1 (r = 0.7, p = 0.0046), UCCa (r = -0.87, p < 0.0001), but not T2 lesion loads. Both median cervical cord T1 and UCCa (respectively) correlated significantly with the EDSS (r = 0.55, p = 0.03; r = -0.54, p = 0.04), AI (r = 0.77, p = 0.001; r = -0.60, p = 0.02) and timed 25-foot walk (r = 0.56, p = 0.03; r = -0.55, p = 0.04).
CONCLUSION: Cervical cord T(1) distinguishes between MS subgroups and could also prove a useful surrogate outcome measure in MS. The relation of cervical cord T(1) to cerebral white matter T(1) suggests that cord pathology may be influenced by tissue damage upstream.

Entities:  

Mesh:

Year:  2003        PMID: 12638021     DOI: 10.1007/s00415-003-1001-8

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  14 in total

Review 1.  MRI in multiple sclerosis: what's inside the toolbox?

Authors:  Mohit Neema; James Stankiewicz; Ashish Arora; Zachary D Guss; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

2.  The relationships among MRI-defined spinal cord involvement, brain involvement, and disability in multiple sclerosis.

Authors:  Adam B Cohen; Mohit Neema; Ashish Arora; Elisa Dell'oglio; Ralph H B Benedict; Shahamat Tauhid; Daniel Goldberg-Zimring; Christian Chavarro-Nieto; Antonella Ceccarelli; Joshua P Klein; James M Stankiewicz; Maria K Houtchens; Guy J Buckle; David C Alsop; Charles R G Guttmann; Rohit Bakshi
Journal:  J Neuroimaging       Date:  2011-03-29       Impact factor: 2.486

3.  Infratentorial lesion volume correlates with sensory functional system in multiple sclerosis patients: a 3.0-Tesla MRI study.

Authors:  C C Quattrocchi; A Cherubini; G Luccichenti; M G Grasso; U Nocentini; B Beomonte Zobel; U Sabatini
Journal:  Radiol Med       Date:  2009-12-16       Impact factor: 3.469

4.  Regional white matter atrophy--based classification of multiple sclerosis in cross-sectional and longitudinal data.

Authors:  M P Sampat; A M Berger; B C Healy; P Hildenbrand; J Vass; D S Meier; T Chitnis; H L Weiner; R Bakshi; C R G Guttmann
Journal:  AJNR Am J Neuroradiol       Date:  2009-08-20       Impact factor: 3.825

5.  Axial 3D gradient-echo imaging for improved multiple sclerosis lesion detection in the cervical spinal cord at 3T.

Authors:  Arzu Ozturk; Nafi Aygun; Seth A Smith; Brian Caffo; Peter A Calabresi; Daniel S Reich
Journal:  Neuroradiology       Date:  2012-12-04       Impact factor: 2.804

6.  State of the cervical section of the spinal cord in patients with remitting multiple sclerosis during immunomodulatory treatment.

Authors:  E G Shipova; N N Spirin; D S Kasatkin; E I Shumakov; I O Stepanov
Journal:  Neurosci Behav Physiol       Date:  2009-01

7.  Spinal cord atrophy and disability in multiple sclerosis over four years: application of a reproducible automated technique in monitoring disease progression in a cohort of the interferon beta-1a (Rebif) treatment trial.

Authors:  X Lin; C R Tench; B Turner; L D Blumhardt; C S Constantinescu
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-08       Impact factor: 10.154

8.  Rapid semi-automatic segmentation of the spinal cord from magnetic resonance images: application in multiple sclerosis.

Authors:  Mark A Horsfield; Stefania Sala; Mohit Neema; Martina Absinta; Anshika Bakshi; Maria Pia Sormani; Maria A Rocca; Rohit Bakshi; Massimo Filippi
Journal:  Neuroimage       Date:  2010-01-07       Impact factor: 6.556

9.  Optimized T1-MPRAGE sequence for better visualization of spinal cord multiple sclerosis lesions at 3T.

Authors:  G Nair; M Absinta; D S Reich
Journal:  AJNR Am J Neuroradiol       Date:  2013-06-13       Impact factor: 3.825

10.  Spinal cord normalization in multiple sclerosis.

Authors:  Jiwon Oh; Michaela Seigo; Shiv Saidha; Elias Sotirchos; Kathy Zackowski; Min Chen; Jerry Prince; Marie Diener-West; Peter A Calabresi; Daniel S Reich
Journal:  J Neuroimaging       Date:  2014-03-05       Impact factor: 2.486

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.