Literature DB >> 26044294

MRI detection of hypointense brain lesions in patients with multiple sclerosis: T1 spin-echo vs. gradient-echo.

Sheena L Dupuy1, Shahamat Tauhid1, Gloria Kim1, Renxin Chu1, Subhash Tummala1, Shelley Hurwitz2, Rohit Bakshi3.   

Abstract

OBJECTIVE: Compare T1 spin-echo (T1SE) and T1 gradient-echo (T1GE) sequences in detecting hypointense brain lesions in multiple sclerosis (MS).
BACKGROUND: Chronic hypointense lesions on T1SE MRI scans are a surrogate of severe demyelination and axonal loss in MS. The role of T1GE images in the detection of such lesions has not been clarified. DESIGN/
METHODS: In 45 patients with MS [Expanded Disability Status Scale (EDSS) score (mean±SD) 3.5±2.0; 37 relapsing-remitting (RR); 8 secondary progressive (SP)], cerebral T1SE, T1GE, and T2-weighted fluid-attenuated inversion-recovery (FLAIR) images were acquired on a 1.5T MRI scanner. Images were re-sampled to axial 5mm slices before directly comparing lesion detectability using Jim (v.7, Xinapse Systems). Statistical methods included Wilcoxon signed rank tests to compare sequences and Spearman correlations to test associations.
RESULTS: Considering the entire cohort, T1GE detected a higher lesion volume (5.90±6.21 vs. 4.17±4.84ml, p<0.0001) and higher lesion number (27.82±20.66 vs. 25.20±20.43, p<0.05) than T1SE. Lesion volume differences persisted when considering RR and SP patients separately (both p<0.01). A higher lesion number by T1GE was seen only in the RR group (p<0.05). When comparing correlations between lesion volume and overall neurologic disability (EDSS score), T1SE correlated with EDSS (Spearman r=0.29, p<0.05) while T1GE (r=0.23, p=0.13) and FLAIR (r=0.24, p=0.12) did not.
CONCLUSION: Our data suggest that hypointense lesions on T1SE and T1GE are not interchangeable in patients with MS. Based on these results, we hypothesize that T1GE shows more sensitivity to lesions at the expense of less pathologic specificity for tissue destruction than T1SE.
Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Hypointense lesions; MRI; Multiple sclerosis; T1 gradient-echo; T1 spin-echo

Mesh:

Year:  2015        PMID: 26044294     DOI: 10.1016/j.ejrad.2015.05.004

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  7 in total

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Authors:  Ulrike W Kaunzner; Susan A Gauthier
Journal:  Ther Adv Neurol Disord       Date:  2017-05-12       Impact factor: 6.570

Review 2.  Magnetic Resonance Imaging in Multiple Sclerosis.

Authors:  Christopher C Hemond; Rohit Bakshi
Journal:  Cold Spring Harb Perspect Med       Date:  2018-05-01       Impact factor: 6.915

3.  7T MRI Differentiates Remyelinated from Demyelinated Multiple Sclerosis Lesions.

Authors:  Hadar Kolb; Martina Absinta; Erin S Beck; Seung-Kwon Ha; Yeajin Song; Gina Norato; Irene Cortese; Pascal Sati; Govind Nair; Daniel S Reich
Journal:  Ann Neurol       Date:  2021-09-02       Impact factor: 11.274

4.  Natalizumab stabilizes physical, cognitive, MRI, and OCT markers of disease activity: A prospective, non-randomized pilot study.

Authors:  Garrick D Talmage; Oscar J M Coppes; Adil Javed; Jacqueline Bernard
Journal:  PLoS One       Date:  2017-04-20       Impact factor: 3.240

5.  A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosis.

Authors:  Alessandra M Valcarcel; Kristin A Linn; Fariha Khalid; Simon N Vandekar; Shahamat Tauhid; Theodore D Satterthwaite; John Muschelli; Melissa Lynne Martin; Rohit Bakshi; Russell T Shinohara
Journal:  Neuroimage Clin       Date:  2018-10-16       Impact factor: 4.881

6.  Three-dimensional T1-weighted gradient echo is a suitable alternative to two-dimensional T1-weighted spin echo for imaging the canine brain.

Authors:  Kathryn L Fleming; Thomas W Maddox; Christopher M R Warren-Smith
Journal:  Vet Radiol Ultrasound       Date:  2019-05-30       Impact factor: 1.363

7.  Correlation between the clinical disability and T1 hypointense lesions' volume in cerebral magnetic resonance imaging of multiple sclerosis patients: A systematic review and meta-analysis.

Authors:  Amir Valizadeh; Mana Moassefi; Elham Barati; Mohammad Ali Sahraian; Faezeh Aghajani; Mohammad-Reza Fattahi
Journal:  CNS Neurosci Ther       Date:  2021-10-03       Impact factor: 5.243

  7 in total

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