Literature DB >> 16385017

Measurement of brain and spinal cord atrophy by magnetic resonance imaging as a tool to monitor multiple sclerosis.

Rohit Bakshi1, Venkata S R Dandamudi, Mohit Neema, Chitradeep De, Robert A Bermel.   

Abstract

Evaluation of brain and spinal cord atrophy by magnetic resonance imaging (MRI) has become an increasingly important component of understanding the multiple sclerosis (MS) disease process. These destructive aspects of the disease develop early in the disease course. A growing body of data links brain and spinal cord atrophy to clinical impairment more closely than can be linked with conventional measures of overt lesions. Thus, irreversible tissue damage may be a key factor leading to disease progression. In this review, the authors present the proposed mechanisms leading to central nervous system (CNS) atrophy. They describe the available MRI-based techniques to measure regional and global atrophy of the brain and spinal cord. They compare the rate of atrophy among MS phenotypes and summarize the emerging data linking atrophy to neurological and neuropsychological impairment. Finally, they discuss the effect of disease-modifying immunotherapies on the rate of CNS atrophy in patients with MS. Future research to clarify the etiology and pathophysiology of brain and spinal cord atrophy should provide new targets for therapeutic development.

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Year:  2005        PMID: 16385017     DOI: 10.1177/1051228405283901

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


  29 in total

1.  Benefit of repetitive intrathecal triamcinolone acetonide therapy in predominantly spinal multiple sclerosis: prediction by upper spinal cord atrophy.

Authors:  Carsten Lukas; Barbara Bellenberg; Horst K Hahn; Jan Rexilius; Robert Drescher; Kerstin Hellwig; Odo Köster; Sebastian Schimrigk
Journal:  Ther Adv Neurol Disord       Date:  2009-11       Impact factor: 6.570

2.  Progression of non-age-related callosal brain atrophy in multiple sclerosis: a 9-year longitudinal MRI study representing four decades of disease development.

Authors:  Juha Martola; Leszek Stawiarz; Sten Fredrikson; Jan Hillert; Jakob Bergström; Olof Flodmark; Maria Kristoffersen Wiberg
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-11-21       Impact factor: 10.154

Review 3.  Magnetic resonance spectroscopy in the monitoring of multiple sclerosis.

Authors:  Ponnada A Narayana
Journal:  J Neuroimaging       Date:  2005       Impact factor: 2.486

Review 4.  Current and Emerging Therapies in Multiple Sclerosis: Implications for the Radiologist, Part 1-Mechanisms, Efficacy, and Safety.

Authors:  C McNamara; G Sugrue; B Murray; P J MacMahon
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-13       Impact factor: 3.825

5.  Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1 -weighted brain MRI acquisitions.

Authors:  Nico Papinutto; Rohit Bakshi; Antje Bischof; Peter A Calabresi; Eduardo Caverzasi; R Todd Constable; Esha Datta; Gina Kirkish; Govind Nair; Jiwon Oh; Daniel Pelletier; Dzung L Pham; Daniel S Reich; William Rooney; Snehashis Roy; Daniel Schwartz; Russell T Shinohara; Nancy L Sicotte; William A Stern; Ian Tagge; Shahamat Tauhid; Subhash Tummala; Roland G Henry
Journal:  Magn Reson Med       Date:  2017-06-15       Impact factor: 4.668

Review 6.  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

7.  Automatic Thalamus Segmentation on Unenhanced 3D T1 Weighted Images: Comparison of Publicly Available Segmentation Methods in a Pediatric Population.

Authors:  Salem Hannoun; Rayyan Tutunji; Maria El Homsi; Stephanie Saaybi; Roula Hourani
Journal:  Neuroinformatics       Date:  2019-07

8.  MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.

Authors:  Kerstin Bendfeldt; Bernd Taschler; Laura Gaetano; Philip Madoerin; Pascal Kuster; Nicole Mueller-Lenke; Michael Amann; Hugo Vrenken; Viktor Wottschel; Frederik Barkhof; Stefan Borgwardt; Stefan Klöppel; Eva-Maria Wicklein; Ludwig Kappos; Gilles Edan; Mark S Freedman; Xavier Montalbán; Hans-Peter Hartung; Christoph Pohl; Rupert Sandbrink; Till Sprenger; Ernst-Wilhelm Radue; Jens Wuerfel; Thomas E Nichols
Journal:  Brain Imaging Behav       Date:  2019-10       Impact factor: 3.978

Review 9.  Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS.

Authors:  Tim Sinnecker; Cristina Granziera; Jens Wuerfel; Regina Schlaeger
Journal:  Curr Treat Options Neurol       Date:  2018-04-20       Impact factor: 3.598

10.  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

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