Literature DB >> 11239950

Magnetization transfer histogram parameters reflect all dimensions of MS pathology, including atrophy.

N F Kalkers1, R Q Hintzen, J H van Waesberghe, R H Lazeron, R A van Schijndel, H J Adèr, C H Polman, F Barkhof.   

Abstract

INTRODUCTION: Magnetization transfer ratio (MTR) histogram analysis can be used as a method for quantifying overall disease burden in MS. We studied correlations between MTR histogram and clinical parameters in MS subgroups. Contrary to earlier studies we placed special emphasis on the lower MTR range, to explore the effect of partial volume averaging effects with CSF.
METHODS: Seventy-nine patients with MS [26 primary progressive (PP), and 53 'relapse-onset', including 26 secondary progressive (SP)], and 23 healthy individuals were studied. MR imaging included 3 mm 2D gradient-echo images with and without an off-resonance MT pulse. According to the visually determined cut-off, histogram parameters were classified as parenchymal or CSF-related variables. Clinical measurements included the Expanded Disability Status Scale (EDSS) as a measure of global impairment/disability and the Paced Auditory Serial Addition Test (PASAT) as a measure of cognition.
RESULTS: SP MS patients differed from the other subgroups on many MTR variables, originating from both the lower and the higher MTR range. CSF-related low MTRs were clearly over-represented in SP patients, and showed a significant distinction between the SP and PP MS group. In the total group, as well as in the relapse-onset patients, significant correlations were found between MTR parameters and clinical parameters. No associations were found in the PP group.
CONCLUSION: This explorative study suggests that MTR histogram analysis can distinguish between MS patients and controls, and best identifies the SP phenotype, partly as a result of increased CSF volume (atrophy). In addition, we show that MTR histogram analysis gives information about the level of impairment and disability in patients with a 'relapse-onset' course of MS, and therefore provides a useful tool to monitor the evolution of the disease in these patients.

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Year:  2001        PMID: 11239950     DOI: 10.1016/s0022-510x(01)00431-2

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  20 in total

Review 1.  Clinical trials and clinical practice in multiple sclerosis: conventional and emerging magnetic resonance imaging technologies.

Authors:  Massimo Filippi; Maria A Rocca; Marco Rovaris
Journal:  Curr Neurol Neurosci Rep       Date:  2002-05       Impact factor: 5.081

2.  Removal of cerebrospinal fluid partial volume effects in quantitative magnetization transfer imaging using a three-pool model with nonexchanging water component.

Authors:  Pouria Mossahebi; Andrew L Alexander; Aaron S Field; Alexey A Samsonov
Journal:  Magn Reson Med       Date:  2014-11-13       Impact factor: 4.668

3.  A new method for analyzing histograms of brain magnetization transfer ratios: comparison with existing techniques.

Authors:  Liang Qiang Zhou; Yue Min Zhu; Jérôme Grimaud; Marc Hermier; Marco Rovaris; Massimo Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2004-08       Impact factor: 3.825

4.  Voxel-based analysis of quantitative T1 maps demonstrates that multiple sclerosis acts throughout the normal-appearing white matter.

Authors:  H Vrenken; S A R B Rombouts; P J W Pouwels; F Barkhof
Journal:  AJNR Am J Neuroradiol       Date:  2006-04       Impact factor: 3.825

5.  Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery.

Authors:  Richard D Dortch; Ke Li; Daniel F Gochberg; E Brian Welch; Adrienne N Dula; Ashish A Tamhane; John C Gore; Seth A Smith
Journal:  Magn Reson Med       Date:  2011-05-23       Impact factor: 4.668

6.  Magnetization transfer ratio in lesions rather than normal-appearing brain relates to disability in patients with multiple sclerosis.

Authors:  Michael Amann; Athina Papadopoulou; Michaela Andelova; Stefano Magon; Nicole Mueller-Lenke; Yvonne Naegelin; Christoph Stippich; Ernst Wilhelm Radue; Oliver Bieri; Ludwig Kappos; Till Sprenger
Journal:  J Neurol       Date:  2015-06-05       Impact factor: 4.849

Review 7.  MRI evidence for multiple sclerosis as a diffuse disease of the central nervous system.

Authors:  Massimo Filippi; Maria Assunta Rocca
Journal:  J Neurol       Date:  2005-11       Impact factor: 4.849

8.  Magnetization transfer and adiabatic T1ρ MRI reveal abnormalities in normal-appearing white matter of subjects with multiple sclerosis.

Authors:  Silvia Mangia; Adam F Carpenter; Andy E Tyan; Lynn E Eberly; Michael Garwood; Shalom Michaeli
Journal:  Mult Scler       Date:  2013-12-12       Impact factor: 6.312

Review 9.  Advanced MRI strategies for assessing spinal cord injury.

Authors:  Seth A Smith; James J Pekar; Peter C M van Zijl
Journal:  Handb Clin Neurol       Date:  2012

10.  Grey matter magnetization transfer ratio independently correlates with neurological deficit in secondary progressive multiple sclerosis.

Authors:  T Hayton; J Furby; K J Smith; D R Altmann; R Brenner; J Chataway; R A C Hughes; K Hunter; D J Tozer; D H Miller; R Kapoor
Journal:  J Neurol       Date:  2009-03-06       Impact factor: 4.849

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