Literature DB >> 29705032

Diagnosis of multiple sclerosis through the lens of ultra-high-field MRI.

Pascal Sati1.   

Abstract

The long-standing relationship between ultra-high-field (7 T) MRI and multiple sclerosis (MS) has brought new insights to our understanding of lesion evolution and its associated pathology. With the recent FDA approval of a commercially available scanner, 7 T MRI is finally entering the clinic with great expectations about its potential added value. By looking through the prism of MS diagnosis, this perspective article discusses current limitations and prospects of 7 T MRI techniques relevant to helping clinicians diagnose patients encountered in daily practice. Published by Elsevier Inc.

Entities:  

Keywords:  Brain; Diagnosis; Magnetic Resonance Imaging; Multiple sclerosis; Ultra-high-field

Mesh:

Year:  2018        PMID: 29705032      PMCID: PMC6022748          DOI: 10.1016/j.jmr.2018.01.022

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  52 in total

1.  High-resolution magnetization-prepared 3D-FLAIR imaging at 7.0 Tesla.

Authors:  Fredy Visser; Jaco J M Zwanenburg; Johannes M Hoogduin; Peter R Luijten
Journal:  Magn Reson Med       Date:  2010-07       Impact factor: 4.668

2.  Ultra-high-field (7.0 Tesla and above) MRI is now necessary to make the next step forward in understanding MS pathophysiology - Commentary.

Authors:  Peter A Calabresi; Peter Cm van Zijl
Journal:  Mult Scler       Date:  2016-12-16       Impact factor: 6.312

Review 3.  Studying brain microstructure with magnetic susceptibility contrast at high-field.

Authors:  Jeff H Duyn
Journal:  Neuroimage       Date:  2017-02-24       Impact factor: 6.556

4.  CNR improvement of MP2RAGE from slice encoding directional acceleration.

Authors:  Wanyong Shin; Taehoon Shin; Se-Hong Oh; Mark J Lowe
Journal:  Magn Reson Imaging       Date:  2016-03-12       Impact factor: 2.546

5.  Prospective head motion correction using FID-guided on-demand image navigators.

Authors:  Maryna Waszak; Pavel Falkovskiy; Tom Hilbert; Guillaume Bonnier; Bénédicte Maréchal; Reto Meuli; Rolf Gruetter; Tobias Kober; Gunnar Krueger
Journal:  Magn Reson Med       Date:  2016-08-16       Impact factor: 4.668

6.  Transected neurites, apoptotic neurons, and reduced inflammation in cortical multiple sclerosis lesions.

Authors:  J W Peterson; L Bö; S Mörk; A Chang; B D Trapp
Journal:  Ann Neurol       Date:  2001-09       Impact factor: 10.422

7.  Wave-CAIPI for highly accelerated MP-RAGE imaging.

Authors:  Daniel Polak; Kawin Setsompop; Stephen F Cauley; Borjan A Gagoski; Himanshu Bhat; Florian Maier; Peter Bachert; Lawrence L Wald; Berkin Bilgic
Journal:  Magn Reson Med       Date:  2017-02-20       Impact factor: 4.668

8.  T1 weighted brain images at 7 Tesla unbiased for Proton Density, T2* contrast and RF coil receive B1 sensitivity with simultaneous vessel visualization.

Authors:  Pierre-François Van de Moortele; Edwards J Auerbach; Cheryl Olman; Essa Yacoub; Kâmil Uğurbil; Steen Moeller
Journal:  Neuroimage       Date:  2009-02-20       Impact factor: 6.556

9.  Seven-Tesla magnetic resonance imaging: new vision of microvascular abnormalities in multiple sclerosis.

Authors:  Yulin Ge; Vahe M Zohrabian; Robert I Grossman
Journal:  Arch Neurol       Date:  2008-06

10.  Seven-tesla phase imaging of acute multiple sclerosis lesions: a new window into the inflammatory process.

Authors:  Martina Absinta; Pascal Sati; María I Gaitán; Pietro Maggi; Irene C M Cortese; Massimo Filippi; Daniel S Reich
Journal:  Ann Neurol       Date:  2013-09-16       Impact factor: 10.422

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  2 in total

1.  A nine-channel transmit/receive array for spine imaging at 10.5 T: Introduction to a nonuniform dielectric substrate antenna.

Authors:  Alireza Sadeghi-Tarakameh; Steve Jungst; Mike Lanagan; Lance DelaBarre; Xiaoping Wu; Gregor Adriany; Gregory J Metzger; Pierre-Francois Van de Moortele; Kamil Ugurbil; Ergin Atalar; Yigitcan Eryaman
Journal:  Magn Reson Med       Date:  2021-11-26       Impact factor: 4.668

2.  Gray matter network reorganization in multiple sclerosis from 7-Tesla and 3-Tesla MRI data.

Authors:  Gabriel Gonzalez-Escamilla; Dumitru Ciolac; Silvia De Santis; Angela Radetz; Vinzenz Fleischer; Amgad Droby; Alard Roebroeck; Sven G Meuth; Muthuraman Muthuraman; Sergiu Groppa
Journal:  Ann Clin Transl Neurol       Date:  2020-04-07       Impact factor: 4.511

  2 in total

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