Literature DB >> 33691664

Longitudinal study of MRI and functional outcome measures in facioscapulohumeral muscular dystrophy.

Leo H Wang1, Dennis W W Shaw2, Anna Faino3, Christopher B Budech2, Leann M Lewis4, Jeffrey Statland5, Katy Eichinger4, Stephen J Tapscott6, Rabi N Tawil4, Seth D Friedman2.   

Abstract

BACKGROUND: Facioscapulohumeral muscular dystrophy (FSHD) is a patchy and slowly progressive disease of skeletal muscle. For MRI to be a useful biomarker in an FSHD clinical trial, it should reliably detect changes over relatively short time-intervals (~ 1 year). We hypothesized that fatty change over the study course would be most likely in muscles already demonstrating disease progression, and that the degree of MRI burden would be correlated with function.
METHODS: We studied 36 patients with FSHD and lower-extremity weakness at baseline. Thirty-two patients returned in our 12-month longitudinal observational study. We analyzed DIXON MRI images of 16 lower-extremity muscles in each patient and compared them to quantitative strength measurement and ambulatory functional outcome measures.
RESULTS: There was a small shift to higher fat fractions in the summed muscle data for each patient, however individual muscles demonstrated much larger magnitudes of change. The greatest increase in fat fraction was observed in muscles having an intermediate fat replacement at baseline, with minimally (baseline fat fraction < 0.10) or severely (> 0.70) affected muscles less likely to progress. Functional outcome measures did not demonstrate marked change over the interval; however, overall MRI disease burden was correlated with functional outcome measures. Direct comparison of the tibialis anterior (TA) fat fraction and quantitative strength measurement showed a sigmoidal relationship, with steepest drop being when the muscle gets more than ~ 20% fatty replaced.
CONCLUSIONS: Assessing MRI changes in 16 lower-extremity muscles across 1 year demonstrated that those muscles having an intermediate baseline fat fraction were more likely to progress. Ambulatory functional outcome measures are generally related to overall muscle MRI burden but remain unchanged in the short term. Quantitative strength measurement of the TA showed a steep loss of strength when more fatty infiltration is present suggesting that MRI may be preferable for following incremental change or modulation with drug therapy.

Entities:  

Keywords:  All neuromuscular disease; Facioscapulohumeral muscular dystrophy (FSHD); MRI; Muscle disease; Outcome measures

Mesh:

Year:  2021        PMID: 33691664      PMCID: PMC7948347          DOI: 10.1186/s12891-021-04134-7

Source DB:  PubMed          Journal:  BMC Musculoskelet Disord        ISSN: 1471-2474            Impact factor:   2.362


  20 in total

1.  Quantitative MR imaging of individual muscle involvement in facioscapulohumeral muscular dystrophy.

Authors:  Hermien E Kan; Tom W J Scheenen; Marielle Wohlgemuth; Dennis W J Klomp; Ivonne van Loosbroek-Wagenmans; George W Padberg; Arend Heerschap
Journal:  Neuromuscul Disord       Date:  2009-03-28       Impact factor: 4.296

2.  MRI as outcome measure in facioscapulohumeral muscular dystrophy: 1-year follow-up of 45 patients.

Authors:  Grete Andersen; Julia R Dahlqvist; Christoffer R Vissing; Karen Heje; Carsten Thomsen; John Vissing
Journal:  J Neurol       Date:  2016-12-20       Impact factor: 4.849

Review 3.  Skeletal Muscle Quantitative Nuclear Magnetic Resonance Imaging and Spectroscopy as an Outcome Measure for Clinical Trials.

Authors:  Pierre G Carlier; Benjamin Marty; Olivier Scheidegger; Paulo Loureiro de Sousa; Pierre-Yves Baudin; Eduard Snezhko; Dmitry Vlodavets
Journal:  J Neuromuscul Dis       Date:  2016-03-03

4.  Adding quantitative muscle MRI to the FSHD clinical trial toolbox.

Authors:  Karlien Mul; Sanne C C Vincenten; Nicol C Voermans; Richard J L F Lemmers; Patrick J van der Vliet; Silvère M van der Maarel; George W Padberg; Corinne G C Horlings; Baziel G M van Engelen
Journal:  Neurology       Date:  2017-10-13       Impact factor: 9.910

5.  MRI change metrics of facioscapulohumeral muscular dystrophy: Stir and T1.

Authors:  Mark R Ferguson; Sandra L Poliachik; Christopher B Budech; Nancy E Gove; Gregory T Carter; Leo H Wang; Daniel G Miller; Dennis W W Shaw; Seth D Friedman
Journal:  Muscle Nerve       Date:  2018-03-03       Impact factor: 3.217

6.  Evaluation of inflammatory lesions over 2 years in facioscapulohumeral muscular dystrophy.

Authors:  Julia R Dahlqvist; Nanna S Poulsen; Sofie T Østergaard; Freja Fornander; Josefine de Stricker Borch; Else R Danielsen; Carsten Thomsen; John Vissing
Journal:  Neurology       Date:  2020-07-01       Impact factor: 9.910

7.  Whole-body magnetic resonance imaging evaluation of facioscapulohumeral muscular dystrophy.

Authors:  Doris G Leung; John A Carrino; Kathryn R Wagner; Michael A Jacobs
Journal:  Muscle Nerve       Date:  2015-03-31       Impact factor: 3.852

8.  Distinct disease phases in muscles of facioscapulohumeral dystrophy patients identified by MR detected fat infiltration.

Authors:  Barbara H Janssen; Nicoline B M Voet; Christine I Nabuurs; Hermien E Kan; Jacky W J de Rooy; Alexander C Geurts; George W Padberg; Baziel G M van Engelen; Arend Heerschap
Journal:  PLoS One       Date:  2014-01-14       Impact factor: 3.240

9.  MRI vastus lateralis fat fraction predicts loss of ambulation in Duchenne muscular dystrophy.

Authors:  Karin J Naarding; Harmen Reyngoudt; Erik W van Zwet; Melissa T Hooijmans; Cuixia Tian; Irina Rybalsky; Karen C Shellenbarger; Julien Le Louër; Brenda L Wong; Pierre G Carlier; Hermien E Kan; Erik H Niks
Journal:  Neurology       Date:  2020-01-14       Impact factor: 9.910

10.  Skeletal muscle magnetic resonance biomarkers correlate with function and sentinel events in Duchenne muscular dystrophy.

Authors:  Alison M Barnard; Rebecca J Willcocks; Erika L Finanger; Michael J Daniels; William T Triplett; William D Rooney; Donovan J Lott; Sean C Forbes; Dah-Jyuu Wang; Claudia R Senesac; Ann T Harrington; Richard S Finkel; Barry S Russman; Barry J Byrne; Gihan I Tennekoon; Glenn A Walter; H Lee Sweeney; Krista Vandenborne
Journal:  PLoS One       Date:  2018-03-19       Impact factor: 3.240

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  5 in total

1.  Baseline fat fraction is a strong predictor of disease progression in Becker muscular dystrophy.

Authors:  Thom T J Veeger; Nienke M van de Velde; Kevin R Keene; Erik H Niks; Melissa T Hooijmans; Andrew G Webb; Jurriaan H de Groot; Hermien E Kan
Journal:  NMR Biomed       Date:  2022-02-05       Impact factor: 4.478

Review 2.  Outcome Measures in Facioscapulohumeral Muscular Dystrophy Clinical Trials.

Authors:  Mehdi Ghasemi; Charles P Emerson; Lawrence J Hayward
Journal:  Cells       Date:  2022-02-16       Impact factor: 6.600

3.  Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy.

Authors:  Xeni Deligianni; Francesco Santini; Matteo Paoletti; Francesca Solazzo; Niels Bergsland; Giovanni Savini; Arianna Faggioli; Giancarlo Germani; Mauro Monforte; Enzo Ricci; Giorgio Tasca; Anna Pichiecchio
Journal:  Sci Rep       Date:  2022-05-04       Impact factor: 4.996

4.  Orofacial Muscle Weakening in Facioscapulohumeral Muscular Dystrophy (FSHD) Patients.

Authors:  Dimitrios Konstantonis; Kyriaki Kekou; Petros Papaefthymiou; Heleni Vastardis; Nikoleta Konstantoni; Maria Athanasiou; Maria Svingou; Anastasia Margariti; Angeliki Panousopoulou
Journal:  Children (Basel)       Date:  2022-01-11

5.  Identification of candidate miRNA biomarkers for facioscapulohumeral muscular dystrophy using DUX4-based mouse models.

Authors:  Andreia M Nunes; Monique Ramirez; Takako I Jones; Peter L Jones
Journal:  Dis Model Mech       Date:  2021-08-24       Impact factor: 5.758

  5 in total

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