Literature DB >> 16385022

Spinal cord imaging in multiple sclerosis.

Christopher R Tench1, Paul S Morgan, Timothy Jaspan, Dorothee P Auer, Cris S Constantinescu.   

Abstract

Multiple sclerosis (MS) is a chronic neurological condition characterized pathologically by axonal loss, demyelination, inflammation, and gliosis. Magnetic resonance imaging (MRI) has had a major impact on diagnosing MS, understanding the condition, and monitoring the effects of treatments. Recently, spinal cord MRI has received increased attention. Advanced techniques have been used to image the spinal cord, particularly the cervical cord, and measure quantitative parameters such as T1 relaxation time, magnetization transfer ratio, and diffusivity. These metrics show central nervous system abnormalities in MS patients and various correlations with disability and might reflect specific pathological processes. Image analysis techniques have also been developed and combined with high-resolution MRI to measure the cord cross-sectional area (CSA), a metric that relates to cord atrophy. The cord CSA is reduced in MS patients compared to normal controls and correlates with disability. Furthermore, changes in CSA are detectable and correlate with changes in disability. Despite the technical difficulties of performing spinal cord MRI, imaging studies, particularly of the cervical cord, are becoming more common. Significant focus has been placed on measuring cord atrophy, and reproducible techniques have been developed to measure the cervical cord CSA. Spinal cord MRI may provide information about disease progression that is not readily available from brain MRI scans and could be useful in diagnosing MS in some cases, as well as for monitoring the effects of treatments.

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Year:  2005        PMID: 16385022     DOI: 10.1177/1051228405283292

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  10 in total

1.  Magnetic resonance imaging features of the spinal cord in pediatric multiple sclerosis: a preliminary study.

Authors:  Leonard H Verhey; Helen M Branson; Monica Makhija; Manohar Shroff; Brenda Banwell
Journal:  Neuroradiology       Date:  2010-08-19       Impact factor: 2.804

Review 2.  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

3.  Similarity of functional connectivity patterns in patients with multiple sclerosis who void spontaneously versus patients with voiding dysfunction.

Authors:  Rose Khavari; Saba N Elias; Timothy Boone; Christof Karmonik
Journal:  Neurourol Urodyn       Date:  2018-10-12       Impact factor: 2.696

4.  Positron emission tomography with computed tomography imaging of neuroinflammation in experimental autoimmune encephalomyelitis.

Authors:  Caius G Radu; Chengyi J Shu; Stephanie M Shelly; Michael E Phelps; Owen N Witte
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-29       Impact factor: 11.205

5.  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

6.  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

7.  Comparison of three different methods for measurement of cervical cord atrophy in multiple sclerosis.

Authors:  R Zivadinov; A C Banas; V Yella; N Abdelrahman; B Weinstock-Guttman; M G Dwyer
Journal:  AJNR Am J Neuroradiol       Date:  2007-11-01       Impact factor: 3.825

8.  Predicting clinical progression in multiple sclerosis with the magnetic resonance disease severity scale.

Authors:  Rohit Bakshi; Mohit Neema; Brian C Healy; Zsuzsanna Liptak; Rebecca A Betensky; Guy J Buckle; Susan A Gauthier; James Stankiewicz; Dominik Meier; Svetlana Egorova; Ashish Arora; Zachary D Guss; Bonnie Glanz; Samia J Khoury; Charles R G Guttmann; Howard L Weiner
Journal:  Arch Neurol       Date:  2008-11

9.  A spinal cord window chamber model for in vivo longitudinal multimodal optical and acoustic imaging in a murine model.

Authors:  Sarah A Figley; Yonghong Chen; Azusa Maeda; Leigh Conroy; Jesse D McMullen; Jason I Silver; Shawn Stapleton; Alex Vitkin; Patricia Lindsay; Kelly Burrell; Gelareh Zadeh; Michael G Fehlings; Ralph S DaCosta
Journal:  PLoS One       Date:  2013-03-14       Impact factor: 3.240

10.  High-Resolution Diffusion Tensor Spinal Cord MRI Measures as Biomarkers of Disability Progression in a Rodent Model of Progressive Multiple Sclerosis.

Authors:  Francesca Gilli; Xi Chen; Andrew R Pachner; Barjor Gimi
Journal:  PLoS One       Date:  2016-07-28       Impact factor: 3.240

  10 in total

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