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Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review

There is a great demand for accurate non‐invasive measures to better define the natural history of disease progression or treatment outcome in Duchenne muscular dystrophy (DMD) and to facilitate the inclusion of a large range of participants in DMD clinical trials. This review aims to investigate wh...

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Autores principales: Alic, Lejla, Griffin, John F., Eresen, Aydin, Kornegay, Joe N., Ji, Jim X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247996/
https://www.ncbi.nlm.nih.gov/pubmed/33269474
http://dx.doi.org/10.1002/mus.27133
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author Alic, Lejla
Griffin, John F.
Eresen, Aydin
Kornegay, Joe N.
Ji, Jim X.
author_facet Alic, Lejla
Griffin, John F.
Eresen, Aydin
Kornegay, Joe N.
Ji, Jim X.
author_sort Alic, Lejla
collection PubMed
description There is a great demand for accurate non‐invasive measures to better define the natural history of disease progression or treatment outcome in Duchenne muscular dystrophy (DMD) and to facilitate the inclusion of a large range of participants in DMD clinical trials. This review aims to investigate which MRI sequences and analysis methods have been used and to identify future needs. Medline, Embase, Scopus, Web of Science, Inspec, and Compendex databases were searched up to 2 November 2019, using keywords “magnetic resonance imaging” and “Duchenne muscular dystrophy.” The review showed the trend of using T1w and T2w MRI images for semi‐qualitative inspection of structural alterations of DMD muscle using a diversity of grading scales, with increasing use of T2map, Dixon, and MR spectroscopy (MRS). High‐field (>3T) MRI dominated the studies with animal models. The quantitative MRI techniques have allowed a more precise estimation of local or generalized disease severity. Longitudinal studies assessing the effect of an intervention have also become more prominent, in both clinical and animal model subjects. Quality assessment of the included longitudinal studies was performed using the Newcastle‐Ottawa Quality Assessment Scale adapted to comprise bias in selection, comparability, exposure, and outcome. Additional large clinical trials are needed to consolidate research using MRI as a biomarker in DMD and to validate findings against established gold standards. This future work should use a multiparametric and quantitative MRI acquisition protocol, assess the repeatability of measurements, and correlate findings to histologic parameters.
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spelling pubmed-82479962021-07-02 Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review Alic, Lejla Griffin, John F. Eresen, Aydin Kornegay, Joe N. Ji, Jim X. Muscle Nerve Invited Reviews There is a great demand for accurate non‐invasive measures to better define the natural history of disease progression or treatment outcome in Duchenne muscular dystrophy (DMD) and to facilitate the inclusion of a large range of participants in DMD clinical trials. This review aims to investigate which MRI sequences and analysis methods have been used and to identify future needs. Medline, Embase, Scopus, Web of Science, Inspec, and Compendex databases were searched up to 2 November 2019, using keywords “magnetic resonance imaging” and “Duchenne muscular dystrophy.” The review showed the trend of using T1w and T2w MRI images for semi‐qualitative inspection of structural alterations of DMD muscle using a diversity of grading scales, with increasing use of T2map, Dixon, and MR spectroscopy (MRS). High‐field (>3T) MRI dominated the studies with animal models. The quantitative MRI techniques have allowed a more precise estimation of local or generalized disease severity. Longitudinal studies assessing the effect of an intervention have also become more prominent, in both clinical and animal model subjects. Quality assessment of the included longitudinal studies was performed using the Newcastle‐Ottawa Quality Assessment Scale adapted to comprise bias in selection, comparability, exposure, and outcome. Additional large clinical trials are needed to consolidate research using MRI as a biomarker in DMD and to validate findings against established gold standards. This future work should use a multiparametric and quantitative MRI acquisition protocol, assess the repeatability of measurements, and correlate findings to histologic parameters. John Wiley & Sons, Inc. 2021-01-08 2021-07 /pmc/articles/PMC8247996/ /pubmed/33269474 http://dx.doi.org/10.1002/mus.27133 Text en © 2020 The Authors. Muscle & Nerve published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Invited Reviews
Alic, Lejla
Griffin, John F.
Eresen, Aydin
Kornegay, Joe N.
Ji, Jim X.
Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review
title Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review
title_full Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review
title_fullStr Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review
title_full_unstemmed Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review
title_short Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review
title_sort using mri to quantify skeletal muscle pathology in duchenne muscular dystrophy: a systematic mapping review
topic Invited Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247996/
https://www.ncbi.nlm.nih.gov/pubmed/33269474
http://dx.doi.org/10.1002/mus.27133
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