Literature DB >> 20338247

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

Pascal Sati1, Anne H Cross, Jie Luo, Charles F Hildebolt, Dmitriy A Yablonskiy.   

Abstract

Conventional MRI based on weighted spin-echo (SE) images aids in the diagnosis of multiple sclerosis (MS); however, MRI markers derived from SE sequences provide limited information about lesion severity and correlate poorly with patient disability assessed with clinical tests. In this study, we introduced a novel method [based on quantitative R2* (1/T2*) histograms] for estimating the severity of brain tissue damage in MS lesions. We applied at 1.5T an advanced, multi-gradient echo MRI technique [gradient echo plural contrast imaging (GEPCI)] to obtain images of the brains of healthy control subjects and subjects with MS. GEPCI is a simple yet robust technique allowing simultaneous acquisition of inherently co-registered quantitative T2* and FLAIR-like maps, along with T1-weighted images within a clinically acceptable time frame. Images obtained with GEPCI appear highly similar to standard scans; hence, they can be used in a reliable and conventional way for a clinical evaluation of the disease. Yet, the main advantage of GEPCI approach is its quantitative nature. Analysis of R2* histograms of white matter revealed a difference in the distribution between healthy subjects and subjects with MS. Based on this difference, we developed a new method for grading the severity of tissue damage [tissue damage score (TDS)] in MS lesions. This method also provides a tissue damage load (TDL) assessing both lesion load and lesion severity, and a mean tissue damage score (MTDS) estimating the average MS lesion damage. We found promising correlations between the results derived from this method and the standard measure of clinical disability. Copyright (c) 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20338247      PMCID: PMC2862897          DOI: 10.1016/j.neuroimage.2010.03.045

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  30 in total

1.  T2 relaxation time histograms in multiple sclerosis.

Authors:  D Grenier; D Pelletier; M Normandeau; D Newitt; S Nelson; D E Goodkin; S Majumdar
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Review 2.  Axonal loss in the pathology of MS: consequences for understanding the progressive phase of the disease.

Authors:  C Bjartmar; J R Wujek; B D Trapp
Journal:  J Neurol Sci       Date:  2003-02-15       Impact factor: 3.181

3.  Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination.

Authors:  C Lucchinetti; W Brück; J Parisi; B Scheithauer; M Rodriguez; H Lassmann
Journal:  Ann Neurol       Date:  2000-06       Impact factor: 10.422

4.  MR lesion load and cognitive function in patients with relapsing-remitting multiple sclerosis.

Authors:  J C Fulton; R I Grossman; J Udupa; L J Mannon; M Grossman; L Wei; M Polansky; D L Kolson
Journal:  AJNR Am J Neuroradiol       Date:  1999 Nov-Dec       Impact factor: 3.825

5.  Correlates of MS disability assessed in vivo using aggregates of MR quantities.

Authors:  C Mainero; N De Stefano; G Iannucci; M P Sormani; L Guidi; A Federico; M L Bartolozzi; G Comi; M Filippi
Journal:  Neurology       Date:  2001-05-22       Impact factor: 9.910

6.  White matter T(1) relaxation time histograms and cerebral atrophy in multiple sclerosis.

Authors:  Lalitha Vaithianathar; Chris R Tench; Paul S Morgan; Xia Lin; Lance D Blumhardt
Journal:  J Neurol Sci       Date:  2002-05-15       Impact factor: 3.181

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

Authors:  A Parry; S Clare; M Jenkinson; S Smith; J Palace; P M Matthews
Journal:  J Neurol       Date:  2002-09       Impact factor: 4.849

8.  Diffusely abnormal white matter in chronic multiple sclerosis: imaging and histopathologic analysis.

Authors:  Alexandra Seewann; Hugo Vrenken; Paul van der Valk; Erwin L A Blezer; Dirk L Knol; Jonas A Castelijns; C H Polman; Petra J W Pouwels; Frederik Barkhof; Jeroen J G Geurts
Journal:  Arch Neurol       Date:  2009-05

9.  A longitudinal study of abnormalities on MRI and disability from multiple sclerosis.

Authors:  Peter A Brex; Olga Ciccarelli; Jonathon I O'Riordan; Michael Sailer; Alan J Thompson; David H Miller
Journal:  N Engl J Med       Date:  2002-01-17       Impact factor: 91.245

10.  Variations in T1 and T2 relaxation times of normal appearing white matter and lesions in multiple sclerosis.

Authors:  V L Stevenson; G J Parker; G J Barker; K Birnie; P S Tofts; D H Miller; A J Thompson
Journal:  J Neurol Sci       Date:  2000-09-15       Impact factor: 3.181

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  25 in total

1.  Gradient echo plural contrast imaging--signal model and derived contrasts: T2*, T1, phase, SWI, T1f, FST2*and T2*-SWI.

Authors:  Jie Luo; Bharathi D Jagadeesan; Anne H Cross; Dmitriy A Yablonskiy
Journal:  Neuroimage       Date:  2012-01-28       Impact factor: 6.556

2.  Single scan quantitative gradient recalled echo MRI for evaluation of tissue damage in lesions and normal appearing gray and white matter in multiple sclerosis.

Authors:  Biao Xiang; Jie Wen; Anne H Cross; Dmitriy A Yablonskiy
Journal:  J Magn Reson Imaging       Date:  2018-08-29       Impact factor: 4.813

3.  Rapid, high-resolution, whole-brain, susceptibility-based MRI of multiple sclerosis.

Authors:  P Sati; D M Thomasson; N Li; D L Pham; N M Biassou; D S Reich; J A Butman
Journal:  Mult Scler       Date:  2014-03-17       Impact factor: 6.312

4.  In vivo detection of microstructural correlates of brain pathology in preclinical and early Alzheimer Disease with magnetic resonance imaging.

Authors:  Yue Zhao; Marcus E Raichle; Jie Wen; Tammie L Benzinger; Anne M Fagan; Jason Hassenstab; Andrei G Vlassenko; Jie Luo; Nigel J Cairns; Jon J Christensen; John C Morris; Dmitriy A Yablonskiy
Journal:  Neuroimage       Date:  2016-12-15       Impact factor: 6.556

5.  Gradient echo magnetic resonance imaging correlates with clinical measures and allows visualization of veins within multiple sclerosis lesions.

Authors:  Jie Luo; Dmitriy A Yablonskiy; Charles F Hildebolt; Samantha Lancia; Anne H Cross
Journal:  Mult Scler       Date:  2013-07-08       Impact factor: 6.312

6.  Voxel spread function method for correction of magnetic field inhomogeneity effects in quantitative gradient-echo-based MRI.

Authors:  Dmitriy A Yablonskiy; Alexander L Sukstanskii; Jie Luo; Xiaoqi Wang
Journal:  Magn Reson Med       Date:  2012-12-11       Impact factor: 4.668

7.  Biophysical mechanisms of MRI signal frequency contrast in multiple sclerosis.

Authors:  Dmitriy A Yablonskiy; Jie Luo; Alexander L Sukstanskii; Aditi Iyer; Anne H Cross
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-13       Impact factor: 11.205

8.  On the role of physiological fluctuations in quantitative gradient echo MRI: implications for GEPCI, QSM, and SWI.

Authors:  Jie Wen; Anne H Cross; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2014-01-30       Impact factor: 4.668

9.  On the relationship between cellular and hemodynamic properties of the human brain cortex throughout adult lifespan.

Authors:  Yue Zhao; Jie Wen; Anne H Cross; Dmitriy A Yablonskiy
Journal:  Neuroimage       Date:  2016-03-17       Impact factor: 6.556

10.  Simultaneous multi-angular relaxometry of tissue with MRI (SMART MRI): Theoretical background and proof of concept.

Authors:  Alexander L Sukstanskii; Jie Wen; Anne H Cross; Dmitriy A Yablonskiy
Journal:  Magn Reson Med       Date:  2016-03-15       Impact factor: 4.668

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