Literature DB >> 26096788

Quantitative muscle MRI: A powerful surrogate outcome measure in Duchenne muscular dystrophy.

Ulrike Bonati1, Patricia Hafner2, Sabine Schädelin3, Maurice Schmid4, Arjith Naduvilekoot Devasia4, Jonas Schroeder4, Stephanie Zuesli4, Urs Pohlman4, Cornelia Neuhaus5, Andrea Klein6, Michael Sinnreich7, Tanja Haas8, Monika Gloor8, Oliver Bieri8, Arne Fischmann9, Dirk Fischer10.   

Abstract

In muscular dystrophies quantitative muscle MRI (qMRI) detects disease progression more sensitively than clinical scores. This prospective one year observational study compared qMRI with clinical scores in Duchenne muscular dystrophy (DMD) to investigate if qMRI can serve as a surrogate outcome measure in clinical trials. In 20 DMD patients the motor function measure (MFM) total and subscores (D1-D3) were done for physical examination, and the fat fraction (MFF) of thigh muscle qMRI was obtained using the two-point Dixon method. Effect sizes (ES) were calculated for all measures. Sample size estimation (SS) was done modelling assumed treatment effects. Ambulant patients <7 years at inclusion improved in the MFM total and D1 score (ES 1.1 and 1.0). Ambulant patients >7 years (highest ES in the MFM D1 subscore (1.2)), and non-ambulant patients (highest ES in the total MFM score (0.7)) worsened. In comparison the ES of QMRI was much larger, e.g. SS estimations for qMRI data were up to 17 fold smaller compared to the MFM total score and up to 7 fold to the D1 subscore, respectively. QMRI shows pathophysiological changes in DMD and might serve as a surrogate outcome measure in clinical trials.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Duchenne muscular dystrophy; Endpoint; Neuromuscular disorders; Outcome measure; Quantitative MRI

Mesh:

Year:  2015        PMID: 26096788     DOI: 10.1016/j.nmd.2015.05.006

Source DB:  PubMed          Journal:  Neuromuscul Disord        ISSN: 0960-8966            Impact factor:   4.296


  42 in total

1.  Serum biomarkers associated with baseline clinical severity in young steroid-naïve Duchenne muscular dystrophy boys.

Authors:  Utkarsh J Dang; Michael Ziemba; Paula R Clemens; Yetrib Hathout; Laurie S Conklin; Eric P Hoffman
Journal:  Hum Mol Genet       Date:  2020-08-29       Impact factor: 6.150

2.  Electrical impedance myography for assessment of Duchenne muscular dystrophy.

Authors:  Seward B Rutkove; Kush Kapur; Craig M Zaidman; Jim S Wu; Amy Pasternak; Lavanya Madabusi; Sung Yim; Adam Pacheck; Heather Szelag; Tim Harrington; Basil T Darras
Journal:  Ann Neurol       Date:  2017-05-04       Impact factor: 10.422

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

Review 4.  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

5.  Quantitative Muscle MRI Protocol as Possible Biomarker in Becker Muscular Dystrophy.

Authors:  Lorenzo Maggi; Marco Moscatelli; Rita Frangiamore; Federica Mazzi; Mattia Verri; Alberto De Luca; Maria Barbara Pasanisi; Giovanni Baranello; Irene Tramacere; Luisa Chiapparini; Maria Grazia Bruzzone; Renato Mantegazza; Domenico Aquino
Journal:  Clin Neuroradiol       Date:  2020-01-23       Impact factor: 3.649

6.  Quantitative muscle ultrasound detects disease progression in Duchenne muscular dystrophy.

Authors:  Craig M Zaidman; Jim S Wu; Kush Kapur; Amy Pasternak; Lavanya Madabusi; Sung Yim; Adam Pacheck; Heather Szelag; Tim Harrington; Basil T Darras; Seward B Rutkove
Journal:  Ann Neurol       Date:  2017-05-04       Impact factor: 10.422

7.  Exploring the relationship between electrical impedance myography and quantitative ultrasound parameters in Duchenne muscular dystrophy.

Authors:  Bhaskar Roy; Basil T Darras; Craig M Zaidman; Jim S Wu; Kush Kapur; Seward B Rutkove
Journal:  Clin Neurophysiol       Date:  2019-02-12       Impact factor: 3.708

8.  Imaging respiratory muscle quality and function in Duchenne muscular dystrophy.

Authors:  Alison M Barnard; Donovan J Lott; Abhinandan Batra; William T Triplett; Sean C Forbes; Samuel L Riehl; Rebecca J Willcocks; Barbara K Smith; Krista Vandenborne; Glenn A Walter
Journal:  J Neurol       Date:  2019-07-26       Impact factor: 4.849

9.  Texture analysis using T1-weighted images for muscles in Charcot-Marie-Tooth disease patients and volunteers.

Authors:  Ji Hyun Lee; Young Cheol Yoon; Hyun Su Kim; Jae-Hun Kim; Byung-Ok Choi
Journal:  Eur Radiol       Date:  2020-10-30       Impact factor: 5.315

10.  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

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