Literature DB >> 23667060

Spinal cord tract diffusion tensor imaging reveals disability substrate in demyelinating disease.

Robert T Naismith1, Junqian Xu, Eric C Klawiter, Samantha Lancia, Nhial T Tutlam, Joanne M Wagner, Peiqing Qian, Kathryn Trinkaus, Sheng-Kwei Song, Anne H Cross.   

Abstract

OBJECTIVE: This study assessed the tissue integrity of major cervical cord tracts by using diffusion tensor imaging (DTI) to determine the relationship with specific clinical functions carried by those tracts.
METHODS: This was a cross-sectional study of 37 patients with multiple sclerosis or neuromyelitis optica with remote cervical cord disease. Finger vibratory thresholds, 25-foot timed walk (25FTW), 9-hole peg test (9HPT), and Expanded Disability Status Scale were determined. DTI covered cervical regions C1 through C6 with 17 5-mm slices (0.9 × 0.9 mm in-plane resolution). Regions of interest included posterior columns (PCs) and lateral corticospinal tracts (CSTs). Hierarchical linear mixed-effect modeling included covariates of disease subtype (multiple sclerosis vs neuromyelitis optica), disease duration, and sex.
RESULTS: Vibration thresholds were associated with radial diffusivity (RD) and fractional anisotropy (FA) in the PCs (both p < 0.01), but not CSTs (RD, p = 0.29; FA, p = 0.14). RD and FA in PCs, and RD in CSTs were related to 9HPT (each p < 0.0001). 25FTW was associated with RD and FA in PCs (p < 0.0001) and RD in CSTs (p = 0.008). Expanded Disability Status Scale was related to RD and FA in PCs and CSTs (p < 0.0001). Moderate/severe impairments in 9HPT (p = 0.006) and 25FTW (p = 0.017) were more likely to show combined moderate/severe tissue injury within both PCs and CSTs by DTI.
CONCLUSIONS: DTI can serve as an imaging biomarker of spinal cord tissue injury at the tract level. RD and FA demonstrate strong and consistent relationships with clinical outcomes, specific to the clinical modality.

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Year:  2013        PMID: 23667060      PMCID: PMC3721096          DOI: 10.1212/WNL.0b013e318296e8f1

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  37 in total

1.  Quantification of cervical cord pathology in primary progressive MS using diffusion tensor MRI.

Authors:  F Agosta; B Benedetti; M A Rocca; P Valsasina; M Rovaris; G Comi; M Filippi
Journal:  Neurology       Date:  2005-02-22       Impact factor: 9.910

Review 2.  Imaging spinal cord damage in multiple sclerosis.

Authors:  M A Rocca; S J Hickman; L Bö; F Agosta; D H Miller; G Comi; M Filippi
Journal:  J Neuroimaging       Date:  2005-10       Impact factor: 2.486

3.  Disorders of movement and behaviour following dorsal column lesions.

Authors:  S Gilman; D Denny-Brown
Journal:  Brain       Date:  1966-09       Impact factor: 13.501

4.  Grading cervical cord damage in neuromyelitis optica and MS by diffusion tensor MRI.

Authors:  B Benedetti; P Valsasina; E Judica; V Martinelli; A Ghezzi; R Capra; R Bergamaschi; G Comi; M Filippi
Journal:  Neurology       Date:  2006-07-11       Impact factor: 9.910

5.  Mean diffusivity and fractional anisotropy histogram analysis of the cervical cord in MS patients.

Authors:  Paola Valsasina; Maria A Rocca; Federica Agosta; Beatrice Benedetti; Mark A Horsfield; Antonio Gallo; Marco Rovaris; Giancarlo Comi; Massimo Filippi
Journal:  Neuroimage       Date:  2005-03-31       Impact factor: 6.556

6.  Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants.

Authors:  R W Bohannon
Journal:  Age Ageing       Date:  1997-01       Impact factor: 10.668

7.  A 4, 2, and 1 stepping algorithm for quick and accurate estimation of cutaneous sensation threshold.

Authors:  P J Dyck; P C O'Brien; J L Kosanke; D A Gillen; J L Karnes
Journal:  Neurology       Date:  1993-08       Impact factor: 9.910

8.  In vivo assessment of cervical cord damage in MS patients: a longitudinal diffusion tensor MRI study.

Authors:  F Agosta; M Absinta; M P Sormani; A Ghezzi; A Bertolotto; E Montanari; G Comi; M Filippi
Journal:  Brain       Date:  2007-05-29       Impact factor: 13.501

9.  Axonal loss in multiple sclerosis: a pathological survey of the corticospinal and sensory tracts.

Authors:  G C DeLuca; G C Ebers; M M Esiri
Journal:  Brain       Date:  2004-03-26       Impact factor: 13.501

10.  Increasing cord atrophy in early relapsing-remitting multiple sclerosis: a 3 year study.

Authors:  W Rashid; G R Davies; D T Chard; C M Griffin; D R Altmann; R Gordon; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-01       Impact factor: 10.154

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  36 in total

1.  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 2.  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

3.  Joint assessment of brain and spinal cord motor tract damage in patients with early RRMS: predominant impact of spinal cord lesions on motor function.

Authors:  Raphaël Chouteau; Benoit Combès; Elise Bannier; Haykel Snoussi; Jean-Christophe Ferré; Christian Barillot; Gilles Edan; Paul Sauleau; Anne Kerbrat
Journal:  J Neurol       Date:  2019-06-07       Impact factor: 4.849

4.  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

5.  Rapid, high-resolution quantitative magnetization transfer MRI of the human spinal cord.

Authors:  Alex K Smith; Richard D Dortch; Lindsey M Dethrage; Seth A Smith
Journal:  Neuroimage       Date:  2014-03-13       Impact factor: 6.556

6.  Spinal Cord Injury Disrupts Resting-State Networks in the Human Brain.

Authors:  Ammar H Hawasli; Jerrel Rutlin; Jarod L Roland; Rory K J Murphy; Sheng-Kwei Song; Eric C Leuthardt; Joshua S Shimony; Wilson Z Ray
Journal:  J Neurotrauma       Date:  2018-01-11       Impact factor: 5.269

7.  Diffuse and focal corticospinal tract disease and its impact on patient disability in multiple sclerosis.

Authors:  Fernanda Tovar-Moll; Iordanis E Evangelou; Annie W Chiu; Sungyoung Auh; Christina Chen; Mary Ehrmantraut; Joan M Ohayon; Nancy Richert; Francesca Bagnato
Journal:  J Neuroimaging       Date:  2014-10-16       Impact factor: 2.486

8.  White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset.

Authors:  Sindhuja Tirumalai Govindarajan; Yilin Liu; Maria Andrea Parra Corral; Lev Bangiyev; Lauren Krupp; Leigh Charvet; Tim Q Duong
Journal:  Brain Imaging Behav       Date:  2021-06       Impact factor: 3.978

9.  Voxel-based cervical spinal cord mapping of diffusion abnormalities in MS-related myelitis.

Authors:  Ahmed T Toosy; Nancy Kou; Daniel Altmann; Claudia A M Wheeler-Kingshott; Alan J Thompson; Olga Ciccarelli
Journal:  Neurology       Date:  2014-09-03       Impact factor: 9.910

10.  Magnetic Resonance Imaging Biomarker of Axon Loss Reflects Cervical Spondylotic Myelopathy Severity.

Authors:  Rory K J Murphy; Peng Sun; Junqian Xu; Yong Wang; Samir Sullivan; Paul Gamble; Joanne Wagner; Neill N Wright; Ian G Dorward; Daniel Riew; Paul Santiago; Michael P Kelly; Kathryn Trinkaus; Wilson Z Ray; Sheng-Kwei Song
Journal:  Spine (Phila Pa 1976)       Date:  2016-05       Impact factor: 3.468

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