Literature DB >> 24590466

Validation of a generic approach to muscle water T2 determination at 3T in fat-infiltrated skeletal muscle.

Noura Azzabou1, Paulo Loureiro de Sousa, Ericky Caldas, Pierre G Carlier.   

Abstract

PURPOSE: To introduce a novel method for skeletal muscle water T2 determination in fat-infiltrated tissues, using a tri-exponential fit of the global muscle signal decay.
MATERIALS AND METHODS: In all, 48 patients with various neuromuscular diseases were retrospectively selected and their thigh muscles analyzed. Each patient was imaged using a multispin-echo (MSME) sequence with a 17-echo train. The transmit field (B1+) inhomogeneities were evaluated using the actual flip angle imaging method toward voxel sorting. Muscle water T2 was quantified using a tri-exponential signal decay model. The difference between water T2 of voxels within the same muscle but having different fat ratio was analyzed using nonparametric statistical tests. In addition, we evaluated the correlation between fat ratio and T2 values obtained using both a mono- and tri-exponential approach.
RESULTS: The results showed that muscle water T2 values obtained using a tri-exponential approach combined with B1+ map-based voxel sorting were independent of the fat infiltration degree inside the muscle (R(2) < 0.03). This was not the case using the mono-exponential model, which measured different T2s between voxels of the same muscle but with various fat ratio (R(2) > 0.67; P < 10e(-4) ).
CONCLUSION: The tri-exponential model is an accurate tool to monitor muscle tissue disease activity devoid of bias introduced by fat infiltration.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  B1 transmit based sorting; fat infiltration; muscle T2; tri-exponential fit

Mesh:

Substances:

Year:  2014        PMID: 24590466     DOI: 10.1002/jmri.24613

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  40 in total

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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.  NMR imaging estimates of muscle volume and intramuscular fat infiltration in the thigh: variations with muscle, gender, and age.

Authors:  Jean-Yves Hogrel; Yoann Barnouin; Noura Azzabou; Gillian Butler-Browne; Thomas Voit; Amélie Moraux; Gaëlle Leroux; Anthony Behin; Jamie S McPhee; Pierre G Carlier
Journal:  Age (Dordr)       Date:  2015-06-04

3.  Fat quantification and T2 measurement.

Authors:  Noura Azzabou; Pierre G Carlier
Journal:  Pediatr Radiol       Date:  2014-06-14

Review 4.  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
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Review 5.  [Myositides: What is the current situation?].

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Journal:  Z Rheumatol       Date:  2015-08       Impact factor: 1.372

6.  Quantifying disease activity in fatty-infiltrated skeletal muscle by IDEAL-CPMG in Duchenne muscular dystrophy.

Authors:  Ami Mankodi; Courtney A Bishop; Sungyoung Auh; Rexford D Newbould; Kenneth H Fischbeck; Robert L Janiczek
Journal:  Neuromuscul Disord       Date:  2016-07-28       Impact factor: 4.296

7.  Multicenter prospective longitudinal study of magnetic resonance biomarkers in a large duchenne muscular dystrophy cohort.

Authors:  Rebecca J Willcocks; William D Rooney; William T Triplett; Sean C Forbes; Donovan J Lott; Claudia R Senesac; Michael J Daniels; Dah-Jyuu Wang; Ann T Harrington; Gihan I Tennekoon; Barry S Russman; Erika L Finanger; Barry J Byrne; Richard S Finkel; Glenn A Walter; H Lee Sweeney; Krista Vandenborne
Journal:  Ann Neurol       Date:  2016-02-19       Impact factor: 10.422

8.  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

Review 9.  Imaging: seeing muscle in new ways.

Authors:  Adam Schiffenbauer
Journal:  Curr Opin Rheumatol       Date:  2014-11       Impact factor: 5.006

10.  Magnetic resonance measurement of muscle T2, fat-corrected T2 and fat fraction in the assessment of idiopathic inflammatory myopathies.

Authors:  Lawrence Yao; Adrienne L Yip; Joseph A Shrader; Sepehr Mesdaghinia; Rita Volochayev; Anna V Jansen; Frederick W Miller; Lisa G Rider
Journal:  Rheumatology (Oxford)       Date:  2015-09-27       Impact factor: 7.580

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