Literature DB >> 27989913

Quantitative Dixon MRI sequences to relate muscle atrophy and fatty degeneration with range of motion and muscle force in brachial plexus injury.

Bouke J Duijnisveld1, Jan Ferdinand Henseler2, Monique Reijnierse3, Marta Fiocco4, Hermien E Kan5, Rob G H H Nelissen2.   

Abstract

BACKGROUND: Assessment of muscle atrophy and fatty degeneration in brachial plexus injury (BPI) could yield valuable insight into pathophysiology and could be used to predict clinical outcome. The objective of this study was to quantify and relate fat percentage and cross-sectional area (CSA) of the biceps to range of motion and muscle force of traumatic brachial plexus injury (BPI) patients.
METHODS: T1-weighted TSE sequence and three-point Dixon images of the affected and non-affected biceps brachii were acquired on a 3 Tesla magnetic resonance scanner to determine the fat percentage, total and contractile CSA of 20 adult BPI patients. Regions of interest were drawn by two independent investigators to determine the inter-observer reliability. Paired Students' t-test and multivariate analysis were used to relate fat percentage, total and contractile CSA to active flexion and biceps muscle force.
RESULTS: The mean fat percentage 12±5.1% of affected biceps was higher than 6±1.0% of the non-affected biceps (p<0.001). The mean contractile CSA 8.1±5.1cm2 of the affected biceps was lower than 19.4±4.9cm2 of the non-affected biceps (p<0.001). The inter-observer reliability was excellent (ICC 0.82 to 0.96). The contractile CSA contributed most to the reduction in active flexion and muscle force.
CONCLUSION: Quantitative measurement of fat percentage, total and contractile CSA using three-point Dixon sequences provides an excellent reliability and relates with active flexion and muscle force in BPI.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brachial plexus injury; Fatty degeneration; Magnetic resonance imaging; Muscle atrophy; Muscle force; Range of motion

Mesh:

Year:  2016        PMID: 27989913     DOI: 10.1016/j.mri.2016.10.020

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  7 in total

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2.  Reliability of measuring the fat content of the lumbar vertebral marrow and paraspinal muscles using MRI mDIXON-Quant sequence.

Authors:  Yong Zhang; Zhuang Zhou; Chao Wang; Xiaoguang Cheng; Ling Wang; Yangyang Duanmu; Chenxin Zhang; Nicola Veronese; Giuseppe Guglielmi
Journal:  Diagn Interv Radiol       Date:  2018-09       Impact factor: 2.630

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Authors:  Pietro Spitali; Kristina Hettne; Roula Tsonaka; Ekrem Sabir; Alexandre Seyer; Jesse B A Hemerik; Jelle J Goeman; Esther Picillo; Manuela Ergoli; Luisa Politano; Annemieke Aartsma-Rus
Journal:  J Cell Mol Med       Date:  2018-02-14       Impact factor: 5.310

4.  Tracking disease progression non-invasively in Duchenne and Becker muscular dystrophies.

Authors:  Pietro Spitali; Kristina Hettne; Roula Tsonaka; Mohammed Charrout; Janneke van den Bergen; Zaïda Koeks; Hermien E Kan; Melissa T Hooijmans; Andreas Roos; Volker Straub; Francesco Muntoni; Cristina Al-Khalili-Szigyarto; Marleen J A Koel-Simmelink; Charlotte E Teunissen; Hanns Lochmüller; Erik H Niks; Annemieke Aartsma-Rus
Journal:  J Cachexia Sarcopenia Muscle       Date:  2018-04-16       Impact factor: 12.910

5.  Analysis of muscle, hip, and subcutaneous fat in osteoporosis patients with varying degrees of fracture risk using 3T Chemical Shift Encoded MRI.

Authors:  Dimitri Martel; Stephen Honig; Anmol Monga; Gregory Chang
Journal:  Bone Rep       Date:  2020-03-24

6.  Reproducibility of manual segmentation in muscle imaging.

Authors:  Shaun Ivan Muzic; Matteo Paoletti; Francesca Solazzo; Eugenio Belatti; Raimondo Vitale; Niels Bergsland; Stefano Bastianello; Anna Pichiecchio
Journal:  Acta Myol       Date:  2021-09-30

7.  Pelvic MRI and CT images are interchangeable for measuring peripouch fat.

Authors:  Xian Hua Gao; Nan Lan; Hanumant Chouhan; Luca Stocchi; Erick Remer; Bo Shen
Journal:  Sci Rep       Date:  2017-09-29       Impact factor: 4.379

  7 in total

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