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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 \u201cmagnetic resonance imaging\u201d and \u201cDuchenne muscular dystrophy.\u201d The review showed the trend of using T1w and T2w MRI images for semi\u2010qualitative inspection of structural alterations of DMD muscle using a diversity of grading scales, with increasing use of T2map, Dixon, and MR spectroscopy (MRS). High\u2010field (&gt;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\u2010Ottawa 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.<\/jats:p>","DOI":"10.1002\/mus.27133","type":"journal-article","created":{"date-parts":[[2020,12,3]],"date-time":"2020-12-03T03:17:01Z","timestamp":1606965421000},"page":"8-22","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Using MRI to quantify skeletal muscle pathology in Duchenne muscular dystrophy: A systematic mapping review"],"prefix":"10.1002","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6487-6958","authenticated-orcid":false,"given":"Lejla","family":"Alic","sequence":"first","affiliation":[{"name":"Department of Electrical &amp; Computer Engineering Texas A&amp;M University  Doha Qatar"},{"name":"Magnetic Detection and Imaging group, Technical Medical Centre University of Twente  The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"suffix":"IV","given":"John F.","family":"Griffin","sequence":"additional","affiliation":[{"name":"College of Vet. 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