Literature DB >> 23553895

Fiber type characterization in skeletal muscle by diffusion tensor imaging.

Michael Scheel1, Philipp von Roth, Tobias Winkler, Adamantios Arampatzis, Torben Prokscha, Bernd Hamm, Gerd Diederichs.   

Abstract

Fiber type distribution within a skeletal muscle, i.e. the quantification of the relative amount of type 1 (slow-twitching) and type 2 (fast-twitching) muscle fibers, is of great interest for the monitoring of the effects of training or the treatment of muscle diseases. The purpose of this study was to determine the feasibility of diffusion tensor imaging (DTI) as a tool for noninvasive fiber type quantification in human skeletal muscle. The right calves of 12 healthy volunteers were examined using DTI at 1.5 T. Standard DTI parameters, including fractional anisotropy (FA), and mean, radial and parallel diffusivity (MD, RD and PD, respectively), were determined in the soleus muscle. Fiber type proportion and mean fiber diameter within the soleus muscle were quantified from tissue specimens obtained via a fine needle biopsy. Linear regression analysis tested for associations between DTI and biopsy results. FA values were correlated significantly with fiber type proportion, such that higher FA values indicated a higher proportion of type 1 fibers (R(2)  = 0.5, p = 0.01). This was based on lower diffusivity perpendicular to the main axis of the fiber in subjects with a higher type 1 fiber proportion (RD: R(2)  = 0.52, p = 0.008). MD was also correlated with the proportion of type 1 fibers (R(2)  = 0.37, p = 0.037), whereas PD showed no significant correlation. DTI is a promising method for the noninvasive estimation of fiber type proportion in skeletal muscle. This technique may be used to monitor training effects or may be further developed as a biomarker in certain muscle diseases.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  diffusion tensor imaging; fiber type; fractional anisotropy; skeletal muscle

Mesh:

Substances:

Year:  2013        PMID: 23553895     DOI: 10.1002/nbm.2938

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  20 in total

1.  Optimal preservation of porcine cardiac tissue prior to diffusion tensor magnetic resonance imaging.

Authors:  Peter Agger; Thomas Lass; Morten Smerup; Jesper Frandsen; Michael Pedersen
Journal:  J Anat       Date:  2015-09-22       Impact factor: 2.610

2.  Muscle diffusion tensor imaging in glycogen storage disease V (McArdle disease).

Authors:  R Rehmann; L Schlaffke; M Froeling; R A Kley; E Kühnle; M De Marées; J Forsting; M Rohm; M Tegenthoff; T Schmidt-Wilcke; M Vorgerd
Journal:  Eur Radiol       Date:  2018-12-17       Impact factor: 5.315

Review 3.  Diffusion weighted magnetic resonance imaging and its recent trend-a survey.

Authors:  Geetha Soujanya Chilla; Cher Heng Tan; Chenjie Xu; Chueh Loo Poh
Journal:  Quant Imaging Med Surg       Date:  2015-06

4.  Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease.

Authors:  Bruce M Damon; Ke Li; Richard D Dortch; E Brian Welch; Jane H Park; Amanda K W Buck; Theodore F Towse; Mark D Does; Daniel F Gochberg; Nathan D Bryant
Journal:  J Vis Exp       Date:  2016-12-18       Impact factor: 1.355

5.  Multi-parametric MRI characterization of healthy human thigh muscles at 3.0 T - relaxation, magnetization transfer, fat/water, and diffusion tensor imaging.

Authors:  Ke Li; Richard D Dortch; E Brian Welch; Nathan D Bryant; Amanda K W Buck; Theodore F Towse; Daniel F Gochberg; Mark D Does; Bruce M Damon; Jane H Park
Journal:  NMR Biomed       Date:  2014-07-26       Impact factor: 4.044

6.  Imaging techniques for muscle injury in sports medicine and clinical relevance.

Authors:  Michel D Crema; Andre F Yamada; Ali Guermazi; Frank W Roemer; Abdalla Y Skaf
Journal:  Curr Rev Musculoskelet Med       Date:  2015-06

7.  Dynamic DTI (dDTI) shows differing temporal activation patterns in post-exercise skeletal muscles.

Authors:  Conrad Rockel; Alireza Akbari; Dinesh A Kumbhare; Michael D Noseworthy
Journal:  MAGMA       Date:  2016-09-13       Impact factor: 2.310

Review 8.  Skeletal muscle diffusion tensor-MRI fiber tracking: rationale, data acquisition and analysis methods, applications and future directions.

Authors:  Bruce M Damon; Martijn Froeling; Amanda K W Buck; Jos Oudeman; Zhaohua Ding; Aart J Nederveen; Emily C Bush; Gustav J Strijkers
Journal:  NMR Biomed       Date:  2016-06-03       Impact factor: 4.044

9.  Assessing skeletal muscle mass: historical overview and state of the art.

Authors:  Steven B Heymsfield; Michael Adamek; M Cristina Gonzalez; Guang Jia; Diana M Thomas
Journal:  J Cachexia Sarcopenia Muscle       Date:  2014-02-15       Impact factor: 12.910

10.  Evaluation of skeletal muscle DTI in patients with duchenne muscular dystrophy.

Authors:  M T Hooijmans; B M Damon; M Froeling; M J Versluis; J Burakiewicz; J J G M Verschuuren; E H Niks; A G Webb; H E Kan
Journal:  NMR Biomed       Date:  2015-10-09       Impact factor: 4.044

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