Literature DB >> 17425729

T1- and T2-based MRI measures of diffuse gray matter and white matter damage in patients with multiple sclerosis.

Mohit Neema1, James Stankiewicz, Ashish Arora, Venkata S R Dandamudi, Courtney E Batt, Zachary D Guss, Ali Al-Sabbagh, Rohit Bakshi.   

Abstract

Magnetic resonance imaging (MRI) has emerged as a powerful noninvasive tool to assist in the diagnosis and monitoring of multiple sclerosis (MS). In addition, investigators have used MRI metrics as supportive outcome measures to explore drug efficacy in clinical trials. Conventional MRI surrogates provide information at the macroscopic level but lack sensitivity and specificity in identifying the full extent of underlying MS pathology. They also show relatively weak relationships to clinical status such as predictive strength for clinical change. Advanced MRI techniques involving quantitative measures of diffuse damage in normal appearing (NA) white matter (WM) and gray matter (GM) may help in resolving this apparent clinical MRI paradox. T2 hypointensity has been described in the GM of patients with MS and has been linked to physical disability, cognitive dysfunction, and brain atrophy. While this T2 hypointensity is thought to represent iron deposition, this awaits pathologic confirmation. Advanced MRI measures of iron deposition such as R2, R2*, R2' relaxometry, 3T imaging and other new approaches are beginning to be applied to studies of MS and should yield interesting information. Both T1 and T2 relaxometry have a role in detecting damage in NA brain tissue that escapes detection by conventional MRI lesion measures. For example, T2 mapping may allow an assessment of myelin content in NAWM. In this review, we will focus on MRI advances in the last 10 years pertaining to T1 and T2 measures of diffuse GM and WM damage.

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Year:  2007        PMID: 17425729     DOI: 10.1111/j.1552-6569.2007.00131.x

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


  45 in total

1.  In vivo evidence of disseminated subpial T2* signal changes in multiple sclerosis at 7 T: a surface-based analysis.

Authors:  J Cohen-Adad; T Benner; D Greve; R P Kinkel; A Radding; B Fischl; B R Rosen; C Mainero
Journal:  Neuroimage       Date:  2011-04-13       Impact factor: 6.556

2.  Age-related slowing in cognitive processing speed is associated with myelin integrity in a very healthy elderly sample.

Authors:  Po H Lu; Grace J Lee; Erika P Raven; Kathleen Tingus; Theresa Khoo; Paul M Thompson; George Bartzokis
Journal:  J Clin Exp Neuropsychol       Date:  2011-08-26       Impact factor: 2.475

3.  Toward a better understanding of brain lesions during metachromatic leukodystrophy evolution.

Authors:  A Martin; C Sevin; C Lazarus; C Bellesme; P Aubourg; C Adamsbaum
Journal:  AJNR Am J Neuroradiol       Date:  2012-04-26       Impact factor: 3.825

Review 4.  MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy.

Authors:  Massimo Filippi; M A Rocca
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-31       Impact factor: 3.825

Review 5.  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

6.  Multiple sclerosis and chronic cerebrospinal venous insufficiency: the neuroimaging perspective.

Authors:  M Filippi; M A Rocca; F Barkhof; R Bakshi; F Fazekas; O Khan; D Pelletier; A Rovira; J Simon
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-03       Impact factor: 3.825

7.  Myelin Detection Using Rapid Quantitative MR Imaging Correlated to Macroscopically Registered Luxol Fast Blue-Stained Brain Specimens.

Authors:  J B M Warntjes; A Persson; J Berge; W Zech
Journal:  AJNR Am J Neuroradiol       Date:  2017-04-20       Impact factor: 3.825

8.  Can we overcome the 'clinico-radiological paradox' in multiple sclerosis?

Authors:  Kerstin Hackmack; Martin Weygandt; Jens Wuerfel; Caspar F Pfueller; Judith Bellmann-Strobl; Friedemann Paul; John-Dylan Haynes
Journal:  J Neurol       Date:  2012-03-24       Impact factor: 4.849

Review 9.  MRI in multiple sclerosis: current status and future prospects.

Authors:  Rohit Bakshi; Alan J Thompson; Maria A Rocca; Daniel Pelletier; Vincent Dousset; Frederik Barkhof; Matilde Inglese; Charles R G Guttmann; Mark A Horsfield; Massimo Filippi
Journal:  Lancet Neurol       Date:  2008-07       Impact factor: 44.182

10.  3 T MRI relaxometry detects T2 prolongation in the cerebral normal-appearing white matter in multiple sclerosis.

Authors:  Mohit Neema; Daniel Goldberg-Zimring; Zachary D Guss; Brian C Healy; Charles R G Guttmann; Maria K Houtchens; Howard L Weiner; Mark A Horsfield; David B Hackney; David C Alsop; Rohit Bakshi
Journal:  Neuroimage       Date:  2009-03-10       Impact factor: 6.556

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