Literature DB >> 22891033

Multiparametric MRI correlates of sensorimotor function in the spinal cord in multiple sclerosis.

Jiwon Oh1, Kathleen Zackowski, Min Chen, Scott Newsome, Shiv Saidha, Seth A Smith, Marie Diener-West, Jerry Prince, Craig K Jones, Peter C M Van Zijl, Peter A Calabresi, Daniel S Reich.   

Abstract

BACKGROUND: Spinal cord (SC) pathology is a major contributor to clinical disability in multiple sclerosis (MS). Conventional magnetic resonance imaging (MRI), specifically SC-MRI lesion load measures that include lesion count and volume, demonstrate only a modest relationship with the clinical status of MS patients. Although SC cross-sectional area (CSA) correlates better with clinical dysfunction than MRI lesion count, SC atrophy likely signifies irreversible tissue loss. Using quantitative MRI indices sensitive to early and late microstructural changes in the spinal cord, we searched for the presence of better correlations between MRI measures and clinical status in MS.
OBJECTIVES: We investigated whether diffusion-tensor imaging indices and the magnetization-transfer ratio (MTR) were better associated with the clinical status of MS patients than conventional SC-MRI measures.
METHODS: A total of 129 MS patients underwent 3-tesla cervical SC-MRI and quantitative sensorimotor function testing, using the Vibratron-II and dynamometer. Regions-of-interest circumscribed the SC on axial slices between C3-C4. We calculated SC-CSA, fractional anisotropy (FA), mean diffusivity (MD), perpendicular diffusivity (λ perpendicular), parallel diffusivity (λ||) and MTR. We used multivariable linear regression to determine if there were any associations between MRI indices and clinical measures of dysfunction.
RESULTS: All MRI indices were significantly different in subjects with MS versus healthy controls, and between the progressive versus relapsing MS subtypes, with the exception of λ||. In multivariable regression models that were adjusted for age, sex, brain parenchymal fraction, and SC-CSA, the MRI indices independently explained variability in hip flexion strength (p-values: MD, λ perpendicular, λ|| < 0.001; FA = 0.07), vibration sensation threshold (p-values: FA = 0.04; MTR = 0.05; λ perpendicular = 0.06), and Expanded Disability Status Scale scores (p-values: FA = 0.003; MD = 0.03; λ perpendicular = 0.005; MTR = 0.02).
CONCLUSIONS: In a large, heterogeneous MS sample, quantitative SC-MRI indices demonstrated independent associations with system-specific and global clinical dysfunction. Our findings suggest that the indices studied may provide important information about microstructural SC changes and the substrates of limb disability in MS. The identified structure-function relationships underpin the potential utility of these measures in assessments of therapeutic efficacy.

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Year:  2012        PMID: 22891033      PMCID: PMC4482216          DOI: 10.1177/1352458512456614

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  34 in total

Review 1.  Adjusting for multiple testing--when and how?

Authors:  R Bender; S Lange
Journal:  J Clin Epidemiol       Date:  2001-04       Impact factor: 6.437

Review 2.  The clinico-radiological paradox in multiple sclerosis revisited.

Authors:  Frederik Barkhof
Journal:  Curr Opin Neurol       Date:  2002-06       Impact factor: 5.710

3.  The adaptive bases algorithm for intensity-based nonrigid image registration.

Authors:  Gustavo K Rohde; Akram Aldroubi; Benoit M Dawant
Journal:  IEEE Trans Med Imaging       Date:  2003-11       Impact factor: 10.048

4.  Diffuse signal abnormalities in the spinal cord in multiple sclerosis: direct postmortem in situ magnetic resonance imaging correlated with in vitro high-resolution magnetic resonance imaging and histopathology.

Authors:  Elisabeth Bergers; Joost C J Bot; Paul van der Valk; Jonas A Castelijns; Geert J Lycklama a Nijeholt; Wouter Kamphorst; Chris H Polman; Erwin L A Blezer; Klaas Nicolay; Rivka Ravid; Frederik Barkhof
Journal:  Ann Neurol       Date:  2002-05       Impact factor: 10.422

5.  A conventional and magnetization transfer MRI study of the cervical cord in patients with MS.

Authors:  M Filippi; M Bozzali; M A Horsfield; M A Rocca; M P Sormani; G Iannucci; B Colombo; G Comi
Journal:  Neurology       Date:  2000-01-11       Impact factor: 9.910

6.  Post-mortem high-resolution MRI of the spinal cord in multiple sclerosis: a correlative study with conventional MRI, histopathology and clinical phenotype.

Authors:  G J Nijeholt; E Bergers; W Kamphorst; J Bot; K Nicolay; J A Castelijns; J H van Waesberghe; R Ravid; C H Polman; F Barkhof
Journal:  Brain       Date:  2001-01       Impact factor: 13.501

7.  Relationship between brain atrophy and disability: an 8-year follow-up study of multiple sclerosis patients.

Authors:  E Fisher; R A Rudick; G Cutter; M Baier; D Miller; B Weinstock-Guttman; M K Mass; D S Dougherty; N A Simonian
Journal:  Mult Scler       Date:  2000-12       Impact factor: 6.312

8.  Spinal cord abnormalities in recently diagnosed MS patients: added value of spinal MRI examination.

Authors:  J C J Bot; F Barkhof; C H Polman; G J Lycklama à Nijeholt; V de Groot; E Bergers; H J Ader; J A Castelijns
Journal:  Neurology       Date:  2004-01-27       Impact factor: 9.910

9.  Axonal loss in multiple sclerosis lesions: magnetic resonance imaging insights into substrates of disability.

Authors:  J H van Waesberghe; W Kamphorst; C J De Groot; M A van Walderveen; J A Castelijns; R Ravid; G J Lycklama à Nijeholt; P van der Valk; C H Polman; A J Thompson; F Barkhof
Journal:  Ann Neurol       Date:  1999-11       Impact factor: 10.422

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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  32 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis.

Authors:  Yong Wang; Peng Sun; Qing Wang; Kathryn Trinkaus; Robert E Schmidt; Robert T Naismith; Anne H Cross; Sheng-Kwei Song
Journal:  Brain       Date:  2015-02-26       Impact factor: 13.501

Review 3.  Current and new directions in MRI in multiple sclerosis.

Authors:  Eric C Klawiter
Journal:  Continuum (Minneap Minn)       Date:  2013-08

4.  Five-year longitudinal changes in quantitative spinal cord MRI in multiple sclerosis.

Authors:  Jiwon Oh; Min Chen; Kateryna Cybulsky; Suradech Suthiphosuwan; Estelle Seyman; Blake Dewey; Marie Diener-West; Peter van Zijl; Jerry Prince; Daniel S Reich; Peter A Calabresi
Journal:  Mult Scler       Date:  2020-06-01       Impact factor: 6.312

Review 5.  Spinal cord MRI in multiple sclerosis--diagnostic, prognostic and clinical value.

Authors:  Hugh Kearney; David H Miller; Olga Ciccarelli
Journal:  Nat Rev Neurol       Date:  2015-05-26       Impact factor: 42.937

6.  Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

7.  Correlation between spinal cord diffusion tensor imaging and postural response latencies in persons with multiple sclerosis: A pilot study.

Authors:  Chu-Yu Lee; Jessie M Huisinga; In-Young Choi; Sharon G Lynch; Phil Lee
Journal:  Magn Reson Imaging       Date:  2019-11-05       Impact factor: 2.546

8.  A Novel MRI Biomarker of Spinal Cord White Matter Injury: T2*-Weighted White Matter to Gray Matter Signal Intensity Ratio.

Authors:  A R Martin; B De Leener; J Cohen-Adad; D W Cadotte; S Kalsi-Ryan; S F Lange; L Tetreault; A Nouri; A Crawley; D J Mikulis; H Ginsberg; M G Fehlings
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

Review 9.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

10.  Quantifying the impact of underlying measurement error on cervical spinal cord diffusion tensor imaging at 3T.

Authors:  Samantha By; Alex K Smith; Lindsey M Dethrage; Bailey D Lyttle; Bennett A Landman; Jeffrey L Creasy; Siddharama Pawate; Seth A Smith
Journal:  J Magn Reson Imaging       Date:  2016-05-18       Impact factor: 4.813

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