Literature DB >> 35300894

Leveraging cardiac magnetic resonance imaging to assess skeletal muscle progression in Duchenne muscular dystrophy.

Jacob A Kaslow1, Andrew G Sokolow2, Thomas Donnelly3, Maciej S Buchowski4, Bruce M Damon5, Larry W Markham6, W Bryan Burnette7, Jonathan H Soslow3.   

Abstract

Duchenne muscular dystrophy (DMD) is characterized by muscle deterioration and progressive weakness. As a result, patients with DMD have significant cardiopulmonary morbidity and mortality that worsens with age and loss of ambulation. Since most validated muscle assessments require ambulation, new functional measures of DMD progression are needed. Despite several evaluation methods available for monitoring disease progression, the relationship between these measures is unknown. We sought to assess the correlation between imaging metrics obtained from cardiac magnetic resonance imaging (CMR) and functional assessments including quantitative muscle testing (QMT), spirometry, and accelerometry. Forty-nine patients with DMD were enrolled and underwent CMR, accelerometry and QMT at baseline, 1-year and 2-year clinic visits with temporally associated pulmonary function testing obtained from the medical record. Imaging of the upper extremity musculature (triceps and biceps) demonstrated the most robust correlations with accelerometry (p<0.03), QMT (p<0.02) and spirometry (p<0.01). T1-mapping of serratus anterior muscle showed a similar, but slightly weaker relationship with accelerometry and QMT. T2-mapping of serratus anterior demonstrated weak indirect correlation with aspects of accelerometry. These images are either routinely obtained in standard CMR or can be added to a protocol and may allow for a more comprehensive assessment of a patient's disease progression.
Copyright © 2022 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Duchenne muscular dystrophy, MRI, spirometry, accelerometry, quantitative muscle testing

Mesh:

Year:  2022        PMID: 35300894      PMCID: PMC9117482          DOI: 10.1016/j.nmd.2022.01.010

Source DB:  PubMed          Journal:  Neuromuscul Disord        ISSN: 0960-8966            Impact factor:   3.538


  36 in total

1.  Proton spin-lattice relaxation time of Duchenne dystrophy skeletal muscle by magnetic resonance imaging.

Authors:  K Matsumura; I Nakano; N Fukuda; H Ikehira; Y Tateno; Y Aoki
Journal:  Muscle Nerve       Date:  1988-02       Impact factor: 3.217

2.  Validation of accelerometer wear and nonwear time classification algorithm.

Authors:  Leena Choi; Zhouwen Liu; Charles E Matthews; Maciej S Buchowski
Journal:  Med Sci Sports Exerc       Date:  2011-02       Impact factor: 5.411

3.  Duchenne muscular dystrophy carriers. Proton spin-lattice relaxation times of skeletal muscles on magnetic resonance imaging.

Authors:  K Matsumura; I Nakano; N Fukuda; H Ikehira; Y Tateno; Y Aoki
Journal:  Neuroradiology       Date:  1989       Impact factor: 2.804

4.  Examination of effects of corticosteroids on skeletal muscles of boys with DMD using MRI and MRS.

Authors:  Ishu Arpan; Rebecca J Willcocks; Sean C Forbes; Richard S Finkel; Donovan J Lott; William D Rooney; William T Triplett; Claudia R Senesac; Michael J Daniels; Barry J Byrne; Erika L Finanger; Barry S Russman; Dah-Jyuu Wang; Gihan I Tennekoon; Glenn A Walter; H L Sweeney; Krista Vandenborne
Journal:  Neurology       Date:  2014-08-06       Impact factor: 9.910

5.  MR biomarkers predict clinical function in Duchenne muscular dystrophy.

Authors:  Alison M Barnard; Rebecca J Willcocks; William T Triplett; Sean C Forbes; Michael J Daniels; Saptarshi Chakraborty; Donovan J Lott; Claudia R Senesac; Erika L Finanger; Ann T Harrington; Gihan Tennekoon; Harneet Arora; Dah-Jyuu Wang; H Lee Sweeney; William D Rooney; Glenn A Walter; Krista Vandenborne
Journal:  Neurology       Date:  2020-02-05       Impact factor: 9.910

6.  Quantitative muscle strength assessment in duchenne muscular dystrophy: longitudinal study and correlation with functional measures.

Authors:  Alberto Lerario; Serena Bonfiglio; MariaPia Sormani; Andrea Tettamanti; Sarah Marktel; Sara Napolitano; Stefano Previtali; Marina Scarlato; MariaGrazia Natali-Sora; Eugenio Mercuri; Nereo Bresolin; Tiziana Mongini; Giancarlo Comi; Roberto Gatti; Fabio Ciceri; Giulio Cossu; Yvan Torrente
Journal:  BMC Neurol       Date:  2012-09-13       Impact factor: 2.474

Review 7.  Myocardial T1 mapping and extracellular volume quantification: a Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology consensus statement.

Authors:  James C Moon; Daniel R Messroghli; Peter Kellman; Stefan K Piechnik; Matthew D Robson; Martin Ugander; Peter D Gatehouse; Andrew E Arai; Matthias G Friedrich; Stefan Neubauer; Jeanette Schulz-Menger; Erik B Schelbert
Journal:  J Cardiovasc Magn Reson       Date:  2013-10-14       Impact factor: 5.364

8.  Dynamic arm study: quantitative description of upper extremity function and activity of boys and men with duchenne muscular dystrophy.

Authors:  Mariska M H P Janssen; Jaap Harlaar; Bart Koopman; Imelda J M de Groot
Journal:  J Neuroeng Rehabil       Date:  2017-05-26       Impact factor: 4.262

9.  Increasing the use of mobile technology-derived endpoints in clinical trials.

Authors:  William G Herrington; Jennifer C Goldsack; Martin J Landray
Journal:  Clin Trials       Date:  2018-02-05       Impact factor: 2.486

10.  The 6-minute walk test and other endpoints in Duchenne muscular dystrophy: longitudinal natural history observations over 48 weeks from a multicenter study.

Authors:  Craig M McDonald; Erik K Henricson; R Ted Abresch; Julaine M Florence; Michelle Eagle; Eduard Gappmaier; Allan M Glanzman; Robert Spiegel; Jay Barth; Gary Elfring; Allen Reha; Stuart Peltz
Journal:  Muscle Nerve       Date:  2013-06-26       Impact factor: 3.217

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