Literature DB >> 17934875

Multi-parametric MR assessment of T(1) black holes in multiple sclerosis : evidence that myelin loss is not greater in hypointense versus isointense T(1) lesions.

I M Vavasour1, D K B Li, C Laule, A L Traboulsee, G R W Moore, A L Mackay.   

Abstract

BACKGROUND: Chronic T(1) hypointense lesions in multiple sclerosis (MS) are areas of severe tissue destruction. The purpose of this study was to compare total water content (WC),myelin water content (MWC), magnetization transfer ratio (MTR), T(1) relaxation time (T(1)), mean T(2) relaxation time (GMT(2)) between stable MS lesions that are hypointense and isointense on T(1)-weighted images.
METHODS: Six MS patients were scanned five times over one year. WC, MWC, MTR, T(1) and GMT(2) were calculated for 15 isointense and 15 hypointense chronically stable T(1) lesions, as well as contralateral normal appearing white matter (NAWM).
RESULTS: All MR measurements from both iso- and hypointense stable lesion types were significantly different from NAWM. WC, T(1) and GMT(2) were significantly higher and MTR significantly lower in hypointense T(1) lesions compared to isointense lesions. MWC was not significantly different between iso- and hypointense lesions.
CONCLUSIONS: This work suggests that myelin loss occurs equally in both the chronic isointense and hypointense lesions but hypointense lesions are distinguished by increased extracellular water.

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Year:  2007        PMID: 17934875     DOI: 10.1007/s00415-007-0604-x

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  44 in total

1.  Accumulation of hypointense lesions ("black holes") on T1 spin-echo MRI correlates with disease progression in multiple sclerosis.

Authors:  L Truyen; J H van Waesberghe; M A van Walderveen; B W van Oosten; C H Polman; O R Hommes; H J Adèr; F Barkhof
Journal:  Neurology       Date:  1996-12       Impact factor: 9.910

Review 2.  Are magnetic resonance findings predictive of clinical outcome in therapeutic trials in multiple sclerosis? The dilemma of interferon-beta.

Authors:  W I McDonald; D H Miller; A J Thompson
Journal:  Ann Neurol       Date:  1994-07       Impact factor: 10.422

3.  The transverse magnetisation decay characteristics of longstanding lesions and normal-appearing white matter in multiple sclerosis.

Authors:  D Kidd; G J Barker; P S Tofts; A Gass; A J Thompson; W I McDonald; D H Miller
Journal:  J Neurol       Date:  1997-02       Impact factor: 4.849

4.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo.

Authors:  S D Wolff; R S Balaban
Journal:  Magn Reson Med       Date:  1989-04       Impact factor: 4.668

5.  Sequential diffusion-weighted magnetic resonance imaging study of lysophosphatidyl choline-induced experimental demyelinating lesion: an animal model of multiple sclerosis.

Authors:  Mahaveer N Degaonkar; Rama Jayasundar; Naranamangalam R Jagannathan
Journal:  J Magn Reson Imaging       Date:  2002-08       Impact factor: 4.813

6.  T2 relaxation time analysis in patients with multiple sclerosis: correlation with magnetization transfer ratio.

Authors:  Nickolas Papanikolaou; Eufrosini Papadaki; Spyros Karampekios; Martha Spilioti; Thomas Maris; Panos Prassopoulos; Nicholas Gourtsoyiannis
Journal:  Eur Radiol       Date:  2003-11-05       Impact factor: 5.315

7.  Remyelinated lesions in multiple sclerosis: magnetic resonance image appearance.

Authors:  Frederik Barkhof; Wolfgang Bruck; Corline J A De Groot; Elisabeth Bergers; Sandra Hulshof; Jeroen Geurts; Chris H Polman; Paul van der Valk
Journal:  Arch Neurol       Date:  2003-08

8.  Magnetization transfer effects in MR-detected multiple sclerosis lesions: comparison with gadolinium-enhanced spin-echo images and nonenhanced T1-weighted images.

Authors:  J F Hiehle; R I Grossman; K N Ramer; F Gonzalez-Scarano; J A Cohen
Journal:  AJNR Am J Neuroradiol       Date:  1995-01       Impact factor: 3.825

9.  Diffusion tensor imaging of lesions and normal-appearing white matter in multiple sclerosis.

Authors:  D J Werring; C A Clark; G J Barker; A J Thompson; D H Miller
Journal:  Neurology       Date:  1999-05-12       Impact factor: 9.910

10.  Lesion heterogeneity in multiple sclerosis: a study of the relations between appearances on T1 weighted images, T1 relaxation times, and metabolite concentrations.

Authors:  P A Brex; G J Parker; S M Leary; P D Molyneux; G J Barker; C A Davie; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-05       Impact factor: 10.154

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  12 in total

1.  Diffusely abnormal white matter in progressive multiple sclerosis: in vivo quantitative MR imaging characterization and comparison between disease types.

Authors:  H Vrenken; A Seewann; D L Knol; C H Polman; F Barkhof; J J G Geurts
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-22       Impact factor: 3.825

2.  Use of Magnetic Resonance Imaging as Well as Clinical Disease Activity in the Clinical Classification of Multiple Sclerosis and Assessment of Its Course: A Report from an International CMSC Consensus Conference, March 5-7, 2010.

Authors:  Stuart D Cook; Suhayl Dhib-Jalbut; Peter Dowling; Luca Durelli; Corey Ford; Gavin Giovannoni; June Halper; Colleen Harris; Joseph Herbert; David Li; John A Lincoln; Robert Lisak; Fred D Lublin; Claudia F Lucchinetti; Wayne Moore; Robert T Naismith; Carlos Oehninger; Jack Simon; Maria Pia Sormani
Journal:  Int J MS Care       Date:  2012

Review 3.  Assessing Repair in Multiple Sclerosis: Outcomes for Phase II Clinical Trials.

Authors:  Maria Pia Sormani; Matteo Pardini
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

Review 4.  Quantitative relaxometry of the brain.

Authors:  Sean C L Deoni
Journal:  Top Magn Reson Imaging       Date:  2010-04

5.  A comparative assessment of cerebral white matter by magnetization transfer imaging in early- and adult-onset multiple sclerosis patients matched for disease duration.

Authors:  Kader K Oguz; Asli Kurne; Aysegul Oz Aksu; Aslihan Taskiran; Erdem Karabulut; Rana Karabudak
Journal:  J Neurol       Date:  2010-03-11       Impact factor: 4.849

6.  Comparing MRI metrics to quantify white matter microstructural damage in multiple sclerosis.

Authors:  Ilona Lipp; Derek K Jones; Sonya Bells; Eleonora Sgarlata; Catherine Foster; Rachael Stickland; Alison E Davidson; Emma C Tallantyre; Neil P Robertson; Richard G Wise; Valentina Tomassini
Journal:  Hum Brain Mapp       Date:  2019-03-19       Impact factor: 5.038

7.  Normal appearing and diffusely abnormal white matter in patients with multiple sclerosis assessed with quantitative MR.

Authors:  Janne West; Anne Aalto; Anders Tisell; Olof Dahlqvist Leinhard; Anne-Marie Landtblom; Örjan Smedby; Peter Lundberg
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

8.  Heterogeneity of Multiple Sclerosis Lesions in Multislice Myelin Water Imaging.

Authors:  Tobias Djamsched Faizy; Christian Thaler; Dushyant Kumar; Jan Sedlacik; Gabriel Broocks; Malte Grosser; Jan-Patrick Stellmann; Christoph Heesen; Jens Fiehler; Susanne Siemonsen
Journal:  PLoS One       Date:  2016-03-18       Impact factor: 3.240

9.  The Combined Quantification and Interpretation of Multiple Quantitative Magnetic Resonance Imaging Metrics Enlightens Longitudinal Changes Compatible with Brain Repair in Relapsing-Remitting Multiple Sclerosis Patients.

Authors:  Guillaume Bonnier; Benedicte Maréchal; Mário João Fartaria; Pavel Falkowskiy; José P Marques; Samanta Simioni; Myriam Schluep; Renaud Du Pasquier; Jean-Philippe Thiran; Gunnar Krueger; Cristina Granziera
Journal:  Front Neurol       Date:  2017-09-27       Impact factor: 4.003

Review 10.  Magnetic Resonance of Myelin Water: An in vivo Marker for Myelin.

Authors:  Alex L MacKay; Cornelia Laule
Journal:  Brain Plast       Date:  2016-12-21
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