Literature DB >> 34120128

New Prospects for Ultra-High-Field Magnetic Resonance Imaging in Multiple Sclerosis.

Benjamin V Ineichen1, Erin S Beck, Marco Piccirelli, Daniel S Reich.   

Abstract

ABSTRACT: There is growing interest in imaging multiple sclerosis (MS) through the ultra-high-field (UHF) lens, which currently means a static magnetic field strength of 7 T or higher. Because of higher signal-to-noise ratio and enhanced susceptibility effects, UHF magnetic resonance imaging improves conspicuity of MS pathological hallmarks, among them cortical demyelination and the central vein sign. This could, in turn, improve confidence in MS diagnosis and might also facilitate therapeutic monitoring of MS patients. Furthermore, UHF imaging offers unique insight into iron-related pathology, leptomeningeal inflammation, and spinal cord pathologies in neuroinflammation. Yet, limitations such as the longer scanning times to achieve improved resolution and incipient safety data on implanted medical devices need to be considered. In this review, we discuss applications of UHF imaging in MS, its advantages and limitations, and practical aspects of UHF in the clinical setting.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 34120128     DOI: 10.1097/RLI.0000000000000804

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  4 in total

1.  Brain Pathology in Multiple Sclerosis with High-Field-Strength MR Spectroscopic Imaging.

Authors:  Peter B Barker
Journal:  Radiology       Date:  2022-01-04       Impact factor: 11.105

2.  Multiple sclerosis: two decades of progress.

Authors:  Bruce A C Cree; Jorge R Oksenberg; Stephen L Hauser
Journal:  Lancet Neurol       Date:  2022-03       Impact factor: 59.935

3.  Phase-based fast 3D high-resolution quantitative T2 MRI in 7 T human brain imaging.

Authors:  Amir Seginer; Rita Schmidt
Journal:  Sci Rep       Date:  2022-08-18       Impact factor: 4.996

4.  Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI.

Authors:  Francesco La Rosa; Erin S Beck; Josefina Maranzano; Ramona-Alexandra Todea; Peter van Gelderen; Jacco A de Zwart; Nicholas J Luciano; Jeff H Duyn; Jean-Philippe Thiran; Cristina Granziera; Daniel S Reich; Pascal Sati; Meritxell Bach Cuadra
Journal:  NMR Biomed       Date:  2022-03-31       Impact factor: 4.478

  4 in total

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