![]() The global aim of this work was to identify gaps in the literature, to propose recommendations for the assessment of both healthy and impaired musculoskeletal function using current dynamic MRI techniques, and to make suggestions for future research in this field.Īrticles published between 1990 and August 2017 were identified through a systematic search of the following five databases: (1) Web of science, (2) PubMed, (3) Scopus, (4) Academic search Premier, and (5) Cochrane Library. The aim of this systematic review was to report evidence of validity and reliability of dynamic MRI techniques to quantify in vivo joint and muscle mechanics. Such a review is necessary to guide researchers and clinicians in the selection of the best available and validated techniques.Ĭoncurrent validity and reliability provide valuable information for the interpretation of data. Despite an abundance of existing literature on dynamic MRI, no systematic reviews of the validity of these techniques have been carried out. For example, the Achilles tendon moment arm determined using dynamic MRI by Sheehan FT was much varied at larger ankle angles than reported previously by Manganais and colleagues using static image based calculations. However, controversial results have been reported for dynamic MRI based studies of joint mechanics in comparison with static studies. As more dynamic sequences are being developed, they are becoming an integral part of image-based musculoskeletal modeling pipelines that rely heavily on dynamic imaging data to input joint kinematic parameters and predict patient specific outcomes. Dynamic MRI sequences for the quantification of functional joint motion were developed in the early 90’s. scapholunate subluxation), and 3) to determine appropriate treatments for disorders using evidence based analysis.ĭynamic MRI techniques were originally developed for cardiovascular imaging to quantify blood flow and to study heart valve functions. Accurate and reliable in vivo measurement of functional mechanics of the musculoskeletal system is thus necessary: 1) to understand normal joint mechanics in asymptomatic individuals, 2) to predict, detect or diagnose musculoskeletal disorders (e.g. Understanding normal and impaired musculoskeletal function during motion is a high radiological, biomechanical and clinical priority. As a result, clinical, or even surgical treatments may be inappropriate. Furthermore, previous research has shown that images of static joint positions do not provide a comprehensive evaluation of the dynamic musculoskeletal system. However, it could be hypothesized from a functional perspective, that abnormal or altered musculoskeletal mechanics cause musculoskeletal disorders. Currently, standard static MRI sequences are used to provide a clinical diagnosis and an understanding of bone and tissue pathology. ![]() ![]() The world-wide prevalence of musculoskeletal disorders is high, and they cause 21.3% of the total years lived with disability (ranked second after behavioral and mental health problems). anterior cruciate ligament injuries, osteoarthritis) that alter the human musculoskeletal system and impair its functions. Musculoskeletal disorders can result from neurological diseases (e.g stroke, cerebral palsy) and orthopaedic disorders (e.g. The term ‘musculoskeletal disorder’ refers to conditions, diseases, and injuries of bones, joints and muscles. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. 2015-A01409-40 to SB), Paris, France and La Fondation de l’Avenir (grant no. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All relevant data are available as published papers data extracted are available within the manuscript as tables and as Supporting Information files.įunding: Funding for this project was provided by grants from La Fondation Motrice (grant no. Received: JAccepted: NovemPublished: December 12, 2017Ĭopyright: © 2017 Borotikar et al. PLoS ONE 12(12):Įditor: Antoine Nordez, Universite de Nantes, FRANCE Citation: Borotikar B, Lempereur M, Lelievre M, Burdin V, Ben Salem D, Brochard S (2017) Dynamic MRI to quantify musculoskeletal motion: A systematic review of concurrent validity and reliability, and perspectives for evaluation of musculoskeletal disorders.
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