Literature DB >> 27854210

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

Pierre G Carlier1,2,3, Benjamin Marty1,2, Olivier Scheidegger1,4, Paulo Loureiro de Sousa5, Pierre-Yves Baudin6, Eduard Snezhko3, Dmitry Vlodavets7.   

Abstract

Recent years have seen tremendous progress towards therapy of many previously incurable neuromuscular diseases. This new context has acted as a driving force for the development of novel non-invasive outcome measures. These can be organized in three main categories: functional tools, fluid biomarkers and imagery. In the latest category, nuclear magnetic resonance imaging (NMRI) offers a considerable range of possibilities for the characterization of skeletal muscle composition, function and metabolism. Nowadays, three NMR outcome measures are frequently integrated in clinical research protocols. They are: 1/ the muscle cross sectional area or volume, 2/ the percentage of intramuscular fat and 3/ the muscle water T2, which quantity muscle trophicity, chronic fatty degenerative changes and oedema (or more broadly, "disease activity"), respectively. A fourth biomarker, the contractile tissue volume is easily derived from the first two ones. The fat fraction maps most often acquired with Dixon sequences have proven their capability to detect small changes in muscle composition and have repeatedly shown superior sensitivity over standard functional evaluation. This outcome measure will more than likely be the first of the series to be validated as an endpoint by regulatory agencies. The versatility of contrast generated by NMR has opened many additional possibilities for characterization of the skeletal muscle and will result in the proposal of more NMR biomarkers. Ultra-short TE (UTE) sequences, late gadolinium enhancement and NMR elastography are being investigated as candidates to evaluate skeletal muscle interstitial fibrosis. Many options exist to measure muscle perfusion and oxygenation by NMR. Diffusion NMR as well as texture analysis algorithms could generate complementary information on muscle organization at microscopic and mesoscopic scales, respectively. 31P NMR spectroscopy is the reference technique to assess muscle energetics non-invasively during and after exercise. In dystrophic muscle, 31P NMR spectrum at rest is profoundly perturbed, and several resonances inform on cell membrane integrity. Considerable efforts are being directed towards acceleration of image acquisitions using a variety of approaches, from the extraction of fat content and water T2 maps from one single acquisition to partial matrices acquisition schemes. Spectacular decreases in examination time are expected in the near future. They will reinforce the attractiveness of NMR outcome measures and will further facilitate their integration in clinical research trials.

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Year:  2016        PMID: 27854210      PMCID: PMC5271435          DOI: 10.3233/JND-160145

Source DB:  PubMed          Journal:  J Neuromuscul Dis


  271 in total

1.  Development of a functional assessment scale for ambulatory boys with Duchenne muscular dystrophy.

Authors:  Elaine Scott; Michelle Eagle; Anna Mayhew; Jenny Freeman; Marion Main; Jennie Sheehan; Adnan Manzur; Francesco Muntoni
Journal:  Physiother Res Int       Date:  2011-09-23

2.  Absolute and relative contributions of BOLD effects to the muscle functional MRI signal intensity time course: effect of exercise intensity.

Authors:  Bruce M Damon; Megan C Wadington; Jennifer L Hornberger; Drew A Lansdown
Journal:  Magn Reson Med       Date:  2007-08       Impact factor: 4.668

3.  Efficacy of idebenone on respiratory function in patients with Duchenne muscular dystrophy not using glucocorticoids (DELOS): a double-blind randomised placebo-controlled phase 3 trial.

Authors:  Gunnar M Buyse; Thomas Voit; Ulrike Schara; Chiara S M Straathof; M Grazia D'Angelo; Günther Bernert; Jean-Marie Cuisset; Richard S Finkel; Nathalie Goemans; Craig M McDonald; Christian Rummey; Thomas Meier
Journal:  Lancet       Date:  2015-04-20       Impact factor: 79.321

Review 4.  Modeling tracer kinetics in dynamic Gd-DTPA MR imaging.

Authors:  P S Tofts
Journal:  J Magn Reson Imaging       Date:  1997 Jan-Feb       Impact factor: 4.813

Review 5.  Development of the Performance of the Upper Limb module for Duchenne muscular dystrophy.

Authors:  Anna Mayhew; Elena S Mazzone; Michelle Eagle; Tina Duong; Maria Ash; Valerie Decostre; Marlene Vandenhauwe; Katrijn Klingels; Julaine Florence; Marion Main; Flaviana Bianco; Erik Henrikson; Laurent Servais; Giles Campion; Elizabeth Vroom; Valeria Ricotti; Natalie Goemans; Craig McDonald; Eugenio Mercuri
Journal:  Dev Med Child Neurol       Date:  2013-08-01       Impact factor: 5.449

Review 6.  Biomedical applications of sodium MRI in vivo.

Authors:  Guillaume Madelin; Ravinder R Regatte
Journal:  J Magn Reson Imaging       Date:  2013-05-30       Impact factor: 4.813

7.  The validity of estimating quadriceps volume from single MRI cross-sections in young men.

Authors:  Christopher I Morse; Hans Degens; David A Jones
Journal:  Eur J Appl Physiol       Date:  2007-03-07       Impact factor: 3.346

8.  Hammersmith Functional Motor Scale and Motor Function Measure-20 in non ambulant SMA patients.

Authors:  E Mazzone; R De Sanctis; L Fanelli; F Bianco; M Main; M van den Hauwe; M Ash; R de Vries; J Fagoaga Mata; K Schaefer; A D'Amico; G Colia; C Palermo; M Scoto; A Mayhew; M Eagle; L Servais; M Vigo; A Febrer; R Korinthenberg; M Jeukens; M de Viesser; A Totoescu; T Voit; K Bushby; F Muntoni; N Goemans; E Bertini; M Pane; E Mercuri
Journal:  Neuromuscul Disord       Date:  2014-01-16       Impact factor: 4.296

9.  Magnetic resonance imaging in Duchenne muscular dystrophy: longitudinal assessment of natural history over 18 months.

Authors:  Kieren G Hollingsworth; Penny Garrood; Michelle Eagle; Kate Bushby; Volker Straub
Journal:  Muscle Nerve       Date:  2013-08-30       Impact factor: 3.217

10.  Magnetic resonance imaging and spectroscopy assessment of lower extremity skeletal muscles in boys with Duchenne muscular dystrophy: a multicenter cross sectional study.

Authors:  Sean C Forbes; Rebecca J Willcocks; William T Triplett; William D Rooney; Donovan J Lott; Dah-Jyuu Wang; Jim Pollaro; Claudia R Senesac; Michael J Daniels; Richard S Finkel; Barry S Russman; Barry J Byrne; Erika L Finanger; Gihan I Tennekoon; Glenn A Walter; H Lee Sweeney; Krista Vandenborne
Journal:  PLoS One       Date:  2014-09-09       Impact factor: 3.240

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  51 in total

1.  Quantitative nuclear magnetic resonance imaging detects subclinical changes over 1 year in skeletal muscle of GNE myopathy.

Authors:  Teresa Gidaro; Harmen Reyngoudt; Julien Le Louër; Anthony Behin; Ferial Toumi; Melanie Villeret; Ericky C A Araujo; Pierre-Yves Baudin; Benjamin Marty; Melanie Annoussamy; Jean-Yves Hogrel; Pierre G Carlier; Laurent Servais
Journal:  J Neurol       Date:  2019-10-15       Impact factor: 4.849

2.  European muscle MRI study in limb girdle muscular dystrophy type R1/2A (LGMDR1/LGMD2A).

Authors:  Andrea Barp; Pascal Laforet; Luca Bello; Giorgio Tasca; John Vissing; Mauro Monforte; Enzo Ricci; Ariane Choumert; Tanya Stojkovic; Edoardo Malfatti; Elena Pegoraro; Claudio Semplicini; Roberto Stramare; Olivier Scheidegger; Jana Haberlova; Volker Straub; Chiara Marini-Bettolo; Nicoline Løkken; Jordi Diaz-Manera; Jon A Urtizberea; Eugenio Mercuri; Martin Kynčl; Maggie C Walter; Robert Y Carlier
Journal:  J Neurol       Date:  2019-09-25       Impact factor: 4.849

3.  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

4.  Skeletal muscle water T2 as a biomarker of disease status and exercise effects in patients with Duchenne muscular dystrophy.

Authors:  Ami Mankodi; Noura Azzabou; Thomas Bulea; Harmen Reyngoudt; Hirity Shimellis; Yupeng Ren; Eunhee Kim; Kenneth H Fischbeck; Pierre G Carlier
Journal:  Neuromuscul Disord       Date:  2017-04-28       Impact factor: 4.296

5.  Relationship between markers of disease activity and progression in skeletal muscle of GNE myopathy patients using quantitative nuclear magnetic resonance imaging and 31P nuclear magnetic resonance spectroscopy.

Authors:  Harmen Reyngoudt; Benjamin Marty; Ericky Caldas de Almeida Araújo; Pierre-Yves Baudin; Julien Le Louër; Jean-Marc Boisserie; Anthony Béhin; Laurent Servais; Teresa Gidaro; Pierre G Carlier
Journal:  Quant Imaging Med Surg       Date:  2020-07

6.  Upper and Lower Extremities in Duchenne Muscular Dystrophy Evaluated with Quantitative MRI and Proton MR Spectroscopy in a Multicenter Cohort.

Authors:  Sean C Forbes; Harneet Arora; Rebecca J Willcocks; William T Triplett; William D Rooney; Alison M Barnard; Umar Alabasi; Dah-Jyuu Wang; Donovan J Lott; Claudia R Senesac; Ann T Harrington; Erika L Finanger; Gihan I Tennekoon; John Brandsema; Michael J Daniels; H Lee Sweeney; Glenn A Walter; Krista Vandenborne
Journal:  Radiology       Date:  2020-04-14       Impact factor: 11.105

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.  Monitoring skeletal muscle chronic fatty degenerations with fast T1-mapping.

Authors:  Benjamin Marty; Bertrand Coppa; Pierre G Carlier
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

9.  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

10.  Association of thigh and paraspinal muscle composition in young adults using chemical shift encoding-based water-fat MRI.

Authors:  Egon Burian; Stephanie Inhuber; Sarah Schlaeger; Michael Dieckmeyer; Elisabeth Klupp; Daniela Franz; Dominik Weidlich; Nico Sollmann; Maximilian Löffler; Ansgar Schwirtz; Ernst J Rummeny; Claus Zimmer; Jan S Kirschke; Dimitrios C Karampinos; Thomas Baum
Journal:  Quant Imaging Med Surg       Date:  2020-01
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