Publication:
Muscle MRI in patients with dysferlinopathy: pattern recognition and implications for clinical trials.

dc.contributor.authorDiaz-Manera, Jordi
dc.contributor.authorFernandez-Torron, Roberto
dc.contributor.authorLLauger, Jaume
dc.contributor.authorJames, Meredith K
dc.contributor.authorMayhew, Anna
dc.contributor.authorSmith, Fiona E
dc.contributor.authorMoore, Ursula R
dc.contributor.authorBlamire, Andrew M
dc.contributor.authorCarlier, Pierre G
dc.contributor.authorRufibach, Laura
dc.contributor.authorMittal, Plavi
dc.contributor.authorEagle, Michelle
dc.contributor.authorJacobs, Marni
dc.contributor.authorHodgson, Tim
dc.contributor.authorWallace, Dorothy
dc.contributor.authorWard, Louise
dc.contributor.authorSmith, Mark
dc.contributor.authorStramare, Roberto
dc.contributor.authorRampado, Alessandro
dc.contributor.authorSato, Noriko
dc.contributor.authorTamaru, Takeshi
dc.contributor.authorHarwick, Bruce
dc.contributor.authorRico-Gala, Susana
dc.contributor.authorTurk, Suna
dc.contributor.authorCoppenrath, Eva M
dc.contributor.authorFoster, Glenn
dc.contributor.authorBendahan, David
dc.contributor.authorLe-Fur, Yann
dc.contributor.authorFricke, Stanley T
dc.contributor.authorOtero, Hansel
dc.contributor.authorFoster, Sheryl L
dc.contributor.authorPeduto, Anthony
dc.contributor.authorSawyer, Anne Marie
dc.contributor.authorHilsden, Heather
dc.contributor.authorLochmuller, Hanns
dc.contributor.authorGrieben, Ulrike
dc.contributor.authorSpuler, Simone
dc.contributor.authorTesi-Rocha, Carolina
dc.contributor.authorDay, John W
dc.contributor.authorJones, Kristi J
dc.contributor.authorBharucha-Goebel, Diana X
dc.contributor.authorSalort-Campana, Emmanuelle
dc.contributor.authorHarms, Matthew
dc.contributor.authorPestronk, Alan
dc.contributor.authorKrause, Sabine
dc.contributor.authorSchreiber-Katz, Olivia
dc.contributor.authorWalter, Maggie C
dc.contributor.authorParadas, Carmen
dc.contributor.authorHogrel, Jean-Yves
dc.contributor.authorStojkovic, Tanya
dc.contributor.authorTakeda, Shin'ichi
dc.contributor.authorMori-Yoshimura, Madoka
dc.contributor.authorBravver, Elena
dc.contributor.authorSparks, Susan
dc.contributor.authorBello, Luca
dc.contributor.authorSemplicini, Claudio
dc.contributor.authorPegoraro, Elena
dc.contributor.authorMendell, Jerry R
dc.contributor.authorBushby, Kate
dc.contributor.authorStraub, Volker
dc.contributor.groupJain COS Consortium
dc.date.accessioned2023-01-25T10:08:11Z
dc.date.available2023-01-25T10:08:11Z
dc.date.issued2018-03-02
dc.description.abstractDysferlinopathies are a group of muscle disorders caused by mutations in the DYSF gene. Previous muscle imaging studies describe a selective pattern of muscle involvement in smaller patient cohorts, but a large imaging study across the entire spectrum of the dysferlinopathies had not been performed and previous imaging findings were not correlated with functional tests. We present cross-sectional T1-weighted muscle MRI data from 182 patients with genetically confirmed dysferlinopathies. We have analysed the pattern of muscles involved in the disease using hierarchical analysis and presented it as heatmaps. Results of the MRI scans have been correlated with relevant functional tests for each region of the body analysed. In 181 of the 182 patients scanned, we observed muscle pathology on T1-weighted images, with the gastrocnemius medialis and the soleus being the most commonly affected muscles. A similar pattern of involvement was identified in most patients regardless of their clinical presentation. Increased muscle pathology on MRI correlated positively with disease duration and functional impairment. The information generated by this study is of high diagnostic value and important for clinical trial development. We have been able to describe a pattern that can be considered as characteristic of dysferlinopathy. We have defined the natural history of the disease from a radiological point of view. These results enabled the identification of the most relevant regions of interest for quantitative MRI in longitudinal studies, such as clinical trials.
dc.description.versionSi
dc.identifier.citationDiaz-Manera J, Fernandez-Torron R, LLauger J, James MK, Mayhew A, Smith FE, et al. Muscle MRI in patients with dysferlinopathy: pattern recognition and implications for clinical trials. J Neurol Neurosurg Psychiatry. 2018 Oct;89(10):1071-1081.
dc.identifier.doi10.1136/jnnp-2017-317488
dc.identifier.essn1468-330X
dc.identifier.pmcPMC6166612
dc.identifier.pmid29735511
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6166612/pdf
dc.identifier.unpaywallURLhttps://jnnp.bmj.com/content/jnnp/89/10/1071.full.pdf
dc.identifier.urihttp://hdl.handle.net/10668/12432
dc.issue.number10
dc.journal.titleJournal of neurology, neurosurgery, and psychiatry
dc.journal.titleabbreviationJ Neurol Neurosurg Psychiatry
dc.language.isoen
dc.organizationInstituto de Biomedicina de Sevilla-IBIS
dc.organizationHospital Universitario Virgen del Rocío
dc.page.number1071-1081
dc.provenanceRealizada la curación de contenido 17/06/2025.
dc.publisherBMJ Group
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.relation.publisherversionhttp://jnnp.bmj.com/lookup/pmidlookup?view=long&pmid=29735511
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectdysferlinopathy
dc.subjectmuscle MRI
dc.subjectmuscular dystrophy
dc.subjectoutcome measures
dc.subject.decsMúsculos
dc.subject.decsPacientes
dc.subject.decsEnfermedad
dc.subject.decsPatología
dc.subject.decsHistoria natural de la enfermedad
dc.subject.decsImagen por resonancia magnética
dc.subject.decsMutación
dc.subject.decsGenes
dc.subject.decsEnfermedades musculares
dc.subject.meshAdult
dc.subject.meshCross-Sectional Studies
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshLongitudinal Studies
dc.subject.meshMagnetic Resonance Imaging
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshMuscle, Skeletal
dc.subject.meshMuscular Dystrophies, Limb-Girdle
dc.titleMuscle MRI in patients with dysferlinopathy: pattern recognition and implications for clinical trials.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number89
dspace.entity.typePublication

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