Literature DB >> 28000006

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

Grete Andersen1, Julia R Dahlqvist2, Christoffer R Vissing2, Karen Heje2, Carsten Thomsen3, John Vissing2.   

Abstract

There is no effective treatment available for facioscapulohumeral muscular dystrophy type 1 (FSHD1), but emerging therapies are under way that call for a better understanding of natural history in this condition. In this prospective, longitudinal study, we used quantitative MRI to assess yearly disease progression in patients with FSHD1. Ambulatory patients with confirmed diagnosis of FSHD1 (25/20 men/women, age 20-75 years, FSHD score: 0-12) were tested with 359-560-day interval between tests. Using the MRI Dixon technique, muscle fat replacement was evaluated in paraspinal, thigh, and calf muscles. Changes were compared with those in FSHD score, muscle strength (hand-held dynamometry), 6-minute-walk-distance, 14-step-stair-test, and 5-time-sit-to-stand-test. Composite absolute fat fraction of all assessed muscles increased by 0.036 (CI 0.026-0.046, P < 0.001), with increases in all measured muscle groups. The clinical severity FSHD score worsened (10%, P < 0.05), muscle strength decreased over the hip (8%), neck (8%), and back (17%) (P < 0.05), but other strength measures, 6-minute-walk-distance, 5-times-sit-to-stand-test, and 14-step-stair-test were unchanged. Changes in muscle strength, FSHD score, and fat fraction did not correlate. This first study to systemically monitor quantitative fat replacement longitudinally in FSHD1 shows that MRI provides an objective measure of disease progression, often before changes can be appreciated in strength and functional tests. The study indicates that quantitative MRI can be a helpful end-point in follow-up and therapeutic trials of patients with FSHD1.

Entities:  

Keywords:  Clinical trials; Facioscapulohumeral muscular dystrophy; MRI Dixon; Natural history studies; Observational study; Outcome measures

Mesh:

Year:  2016        PMID: 28000006     DOI: 10.1007/s00415-016-8361-3

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  29 in total

1.  MRI for the demonstration of subclinical muscle involvement in muscular dystrophy.

Authors:  S Sookhoo; I Mackinnon; K Bushby; P F Chinnery; D Birchall
Journal:  Clin Radiol       Date:  2007-02       Impact factor: 2.350

2.  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

3.  Magnetic resonance imaging in a large cohort of facioscapulohumeral muscular dystrophy patients: Pattern refinement and implications for clinical trials.

Authors:  Giorgio Tasca; Mauro Monforte; Pierfrancesco Ottaviani; Marco Pelliccioni; Roberto Frusciante; Francesco Laschena; Enzo Ricci
Journal:  Ann Neurol       Date:  2016-04-04       Impact factor: 10.422

4.  Clinical Muscle Testing Compared with Whole-Body Magnetic Resonance Imaging in Facio-scapulo-humeral Muscular Dystrophy.

Authors:  J U Regula; L Jestaedt; F Jende; A Bartsch; H-M Meinck; M-A Weber
Journal:  Clin Neuroradiol       Date:  2015-04-10       Impact factor: 3.649

5.  Aerobic training and postexercise protein in facioscapulohumeral muscular dystrophy: RCT study.

Authors:  Grete Andersen; Kira P Prahm; Julia R Dahlqvist; Gülsenay Citirak; John Vissing
Journal:  Neurology       Date:  2015-07-08       Impact factor: 9.910

6.  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

7.  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

8.  Upper girdle imaging in facioscapulohumeral muscular dystrophy.

Authors:  Giorgio Tasca; Mauro Monforte; Elisabetta Iannaccone; Francesco Laschena; Pierfrancesco Ottaviani; Emanuele Leoncini; Stefania Boccia; Giuliana Galluzzi; Marco Pelliccioni; Marcella Masciullo; Roberto Frusciante; Eugenio Mercuri; Enzo Ricci
Journal:  PLoS One       Date:  2014-06-16       Impact factor: 3.240

Review 9.  Facioscapulohumeral dystrophy: the path to consensus on pathophysiology.

Authors:  Rabi Tawil; Silvère M van der Maarel; Stephen J Tapscott
Journal:  Skelet Muscle       Date:  2014-06-10       Impact factor: 4.912

10.  Association of Quadriceps Muscle Fat With Isometric Strength Measurements in Healthy Males Using Chemical Shift Encoding-Based Water-Fat Magnetic Resonance Imaging.

Authors:  Thomas Baum; Stephanie Inhuber; Michael Dieckmeyer; Christian Cordes; Stefan Ruschke; Elisabeth Klupp; Pia M Jungmann; Rosanna Farlock; Holger Eggers; Hendrik Kooijman; Ernst J Rummeny; Ansgar Schwirtz; Jan S Kirschke; Dimitrios C Karampinos
Journal:  J Comput Assist Tomogr       Date:  2016 May-Jun       Impact factor: 1.826

View more
  31 in total

Review 1.  Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy.

Authors:  Doris G Leung
Journal:  Muscle Nerve       Date:  2019-05-14       Impact factor: 3.217

2.  Fat fraction mapping using magnetic resonance imaging: insight into pathophysiology.

Authors:  Timothy Jp Bray; Manil D Chouhan; Shonit Punwani; Alan Bainbridge; Margaret A Hall-Craggs
Journal:  Br J Radiol       Date:  2017-11-21       Impact factor: 3.039

3.  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

Review 4.  Current body composition measurement techniques.

Authors:  Thaisa Lemos; Dympna Gallagher
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-10       Impact factor: 3.243

5.  Magnetic resonance imaging in facioscapulohumeral muscular dystrophy.

Authors:  Doris G Leung
Journal:  Muscle Nerve       Date:  2018-01-23       Impact factor: 3.217

Review 6.  MR imaging of inherited myopathies: a review and proposal of imaging algorithms.

Authors:  Laís Uyeda Aivazoglou; Julio Brandão Guimarães; Thomas M Link; Maria Alice Freitas Costa; Fabiano Nassar Cardoso; Bruno de Mattos Lombardi Badia; Igor Braga Farias; Wladimir Bocca Vieira de Rezende Pinto; Paulo Victor Sgobbi de Souza; Acary Souza Bulle Oliveira; Alzira Alves de Siqueira Carvalho; André Yui Aihara; Artur da Rocha Corrêa Fernandes
Journal:  Eur Radiol       Date:  2021-04-21       Impact factor: 5.315

7.  Global versus individual muscle segmentation to assess quantitative MRI-based fat fraction changes in neuromuscular diseases.

Authors:  Harmen Reyngoudt; Benjamin Marty; Jean-Marc Boisserie; Julien Le Louër; Cedi Koumako; Pierre-Yves Baudin; Brenda Wong; Tanya Stojkovic; Anthony Béhin; Teresa Gidaro; Yves Allenbach; Olivier Benveniste; Laurent Servais; Pierre G Carlier
Journal:  Eur Radiol       Date:  2020-11-21       Impact factor: 5.315

8.  Function, structure and quality of striated muscles in the lower extremities in patients with late onset Pompe Disease-an MRI study.

Authors:  Michael Vaeggemose; Rosa Andersen Mencagli; Julie Schjødtz Hansen; Bianca Dräger; Steffen Ringgaard; John Vissing; Henning Andersen
Journal:  PeerJ       Date:  2021-05-06       Impact factor: 2.984

9.  Patients With Becker Muscular Dystrophy Have Severe Paraspinal Muscle Involvement.

Authors:  Aisha M Sheikh; Karen Rudolf; Josefine de Stricker Borch; Tahmina Khawajazada; Nanna Witting; John Vissing
Journal:  Front Neurol       Date:  2021-05-21       Impact factor: 4.003

10.  COVID-19 lockdown impact on the physical activity of adults with progressive muscle diseases.

Authors:  Sarah F Roberts-Lewis; Mark Ashworth; Claire M White; Michael R Rose
Journal:  BMJ Neurol Open       Date:  2021-03-18
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.