Literature DB >> 12242554

White matter and lesion T1 relaxation times increase in parallel and correlate with disability in multiple sclerosis.

A Parry1, S Clare, M Jenkinson, S Smith, J Palace, P M Matthews.   

Abstract

Previous studies have established the clinical relevance of hypointense lesions ("black holes") on T1-weighted MRI as a surrogate marker for pathological change [36]. In contrast to measuring the volume of "black holes", the direct measurement of T1 values allows an objective assessment of the changes contributing to hypointensity both in the focal lesions and in the normal appearing white matter (NAWM). The aims of this study were first, to determine the relationship between T1 values in the NAWM and in discrete lesions, second, to test the relationship between white matter T1 changes and measures of disability and third, to determine whether pathology leading to T1 change occurred in thalamic grey matter of patients with multiple sclerosis. 24 patients with clinically definite multiple sclerosis (13 with relapsing-remitting multiple sclerosis and 11 with secondary progressive multiple sclerosis) and 11 controls participated. White matter T1 histograms and mean T1 values for the thalamus were generated from whole brain T1 relaxation time maps measured using a novel echo-planar imaging based MRI sequence at 3Tesla. Tissue segmentation based on T2- and T1-weighted images allowed independent study of changes in lesions and NAWM. White matter T1 histograms from the patient group showed a reduced peak height and a shift towards higher T1 values (p = 0.028) relative to controls. The mean thalamic T1 was greater for secondary progressive patients than for healthy controls (p = 0.03). Mean white matter T1 values correlated significantly with disability (r = 0.48, p = 0.02). The mean T1 value in the T1-hypointense lesions correlated strongly with the mean T1 value in the NAWM (r = 0.80, p < 0.001). No significant relationship was found between mean white matter T1 value and cerebral volume (r = -0.23, p = 0.31). The T1 measurements extend previous observations suggesting that changes in the NAWM occur in parallel with pathology in lesions of MS. T1 measurements of either the total or NAWM therefore may provide a potentially observer- and scanner- independent marker of pathology relevant to disability in MS.

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Year:  2002        PMID: 12242554     DOI: 10.1007/s00415-002-0837-7

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


  33 in total

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Review 2.  Quantitative MR Imaging of Brain Tissue and Brain Pathologies.

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Journal:  Clin Neuroradiol       Date:  2015-07-30       Impact factor: 3.649

3.  In vivo quantitative evaluation of brain tissue damage in multiple sclerosis using gradient echo plural contrast imaging technique.

Authors:  Pascal Sati; Anne H Cross; Jie Luo; Charles F Hildebolt; Dmitriy A Yablonskiy
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4.  PROPELLER EPI: an MRI technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions.

Authors:  Fu-Nien Wang; Teng-Yi Huang; Fa-Hsuan Lin; Tzu-Chao Chuang; Nan-Kuei Chen; Hsiao-Wen Chung; Cheng-Yu Chen; Kenneth K Kwong
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5.  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

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.  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

8.  An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging.

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Journal:  BMC Med Imaging       Date:  2010-07-30       Impact factor: 1.930

9.  Absolute quantitation of brain metabolites with respect to heterogeneous tissue compositions in (1)H-MR spectroscopic volumes.

Authors:  Alexander Gussew; Marko Erdtel; Patrick Hiepe; Reinhard Rzanny; Jürgen R Reichenbach
Journal:  MAGMA       Date:  2012-02-25       Impact factor: 2.310

10.  Multiple sclerosis: myeloperoxidase immunoradiology improves detection of acute and chronic disease in experimental model.

Authors:  Benjamin Pulli; Lionel Bure; Gregory R Wojtkiewicz; Yoshiko Iwamoto; Muhammad Ali; Dan Li; Stefan Schob; Kevin Li-Chun Hsieh; Andreas H Jacobs; John W Chen
Journal:  Radiology       Date:  2014-12-10       Impact factor: 11.105

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