Literature DB >> 22086307

Diffusion property differences of the lower leg musculature between athletes and non-athletes using 1.5T MRI.

Yoshikazu Okamoto1, Shintaro Mori, Yuka Kujiraoka, Katsuhiro Nasu, Yuji Hirano, Manabu Minami.   

Abstract

OBJECT: To compare the differences in diffusion properties--namely fractional anisotropy (FA), three eigenvalues of the diffusion tensor (λ1, λ2, and λ3), and apparent diffusion coefficient (ADC)--between athletically-trained and untrained lower leg musculature.
MATERIALS AND METHODS: Twelve athletes (Group A) and 11 non-athletes (Group B) were recruited. All were females in their 20s. We scanned diffusion tensor images of both calves and compared FA, the three eigenvalues, and ADC in the gastrocnemius medialis, gastrocnemius lateralis, soleus (SOL), and anterior tibialis muscles between Groups A and B, and between the right and left sides, using two-factor fractional ANOVA.
RESULTS: In all muscles of bilateral calves, all three eigenvalues and ADC were lower in Group A than in Group B, with statistically significant differences in all muscles for λ1, λ2, and λ3 and ADC, with a P value of <0.01. Moreover, statistical differences were also found between right and left for λ1, λ2, and λ3 (P < 0.05), and ADC (P < 0.01) of the SOL muscle. FA showed no statistically significant differences in any muscles.
CONCLUSIONS: Our results indicate that training causes a decrease of the three eigenvalues and ADC, which we hypothesize is due to an increase of density of myofilaments in the intracellular space, and deformation of the cell induced by enlargement of extracellular components.

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Year:  2011        PMID: 22086307     DOI: 10.1007/s10334-011-0294-3

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  34 in total

1.  Diffusional anisotropy is induced by subcellular barriers in skeletal muscle.

Authors:  S T Kinsey; B R Locke; B Penke; T S Moerland
Journal:  NMR Biomed       Date:  1999-02       Impact factor: 4.044

2.  Protein diffusion in living skeletal muscle fibers: dependence on protein size, fiber type, and contraction.

Authors:  S Papadopoulos; K D Jürgens; G Gros
Journal:  Biophys J       Date:  2000-10       Impact factor: 4.033

3.  Effects of strength, endurance and combined training on myosin heavy chain content and fibre-type distribution in humans.

Authors:  Charles T Putman; Xinhao Xu; Ellen Gillies; Ian M MacLean; Gordon J Bell
Journal:  Eur J Appl Physiol       Date:  2004-07-06       Impact factor: 3.078

4.  Diffusive sensitivity to muscle architecture: a magnetic resonance diffusion tensor imaging study of the human calf.

Authors:  Craig J Galbán; Stefan Maderwald; Kai Uffmann; Armin de Greiff; Mark E Ladd
Journal:  Eur J Appl Physiol       Date:  2004-12       Impact factor: 3.078

5.  Regional ventricular wall thickening reflects changes in cardiac fiber and sheet structure during contraction: quantification with diffusion tensor MRI.

Authors:  Junjie Chen; Wei Liu; Huiying Zhang; Liz Lacy; Xiaoxia Yang; Sheng-Kwei Song; Samuel A Wickline; Xin Yu
Journal:  Am J Physiol Heart Circ Physiol       Date:  2005-11       Impact factor: 4.733

6.  MRI analysis of structural changes in skeletal muscles and surrounding tissues following long-term walking exercise with training equipment.

Authors:  Ryusuke Nakai; Takashi Azuma; Mai Sudo; Shin-Ichi Urayama; Osamu Takizawa; Sadami Tsutsumi
Journal:  J Appl Physiol (1985)       Date:  2008-07-03

7.  Diffusion tensor imaging of the human calf muscle: distinct changes in fractional anisotropy and mean diffusion due to passive muscle shortening and stretching.

Authors:  Nina F Schwenzer; Günter Steidle; Petros Martirosian; Christina Schraml; Fabian Springer; Claus D Claussen; Fritz Schick
Journal:  NMR Biomed       Date:  2009-12       Impact factor: 4.044

Review 8.  Skeletal muscle hypertrophy and atrophy signaling pathways.

Authors:  David J Glass
Journal:  Int J Biochem Cell Biol       Date:  2005-10       Impact factor: 5.085

9.  Fractional anisotropy values of calf muscles in normative state after exercise: preliminary results.

Authors:  Yoshikazu Okamoto; Akira Kunimatsu; Soichiro Miki; Masashi Shindo; Mamoru Niitsu; Manabu Minami
Journal:  Magn Reson Med Sci       Date:  2008       Impact factor: 2.471

10.  Functional adaptability of muscle fibers to long-term resistance exercise.

Authors:  Todd C Shoepe; Julian E Stelzer; Dena P Garner; Jeffrey J Widrick
Journal:  Med Sci Sports Exerc       Date:  2003-06       Impact factor: 5.411

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  9 in total

1.  Determination of three-dimensional muscle architectures: validation of the DTI-based fiber tractography method by manual digitization.

Authors:  P Schenk; T Siebert; P Hiepe; D Güllmar; J R Reichenbach; C Wick; R Blickhan; M Böl
Journal:  J Anat       Date:  2013-05-16       Impact factor: 2.610

2.  Diffusion tensor imaging combined with T2 mapping to quantify changes in the skeletal muscle associated with training and endurance exercise in competitive triathletes.

Authors:  S Keller; J Yamamura; J Sedlacik; Z J Wang; P Gebert; J Starekova; E Tahir
Journal:  Eur Radiol       Date:  2020-01-17       Impact factor: 5.315

3.  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

4.  Stimulated echo diffusion tensor imaging and SPAIR T2 -weighted imaging in chronic exertional compartment syndrome of the lower leg muscles.

Authors:  Eric E Sigmund; Dabang Sui; Obehi Ukpebor; Steven Baete; Els Fieremans; James S Babb; Michael Mechlin; Kecheng Liu; Jane Kwon; KellyAnne McGorty; Philip A Hodnett; Jenny Bencardino
Journal:  J Magn Reson Imaging       Date:  2013-02-25       Impact factor: 4.813

5.  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

6.  Normal values and test-retest variability of stimulated-echo diffusion tensor imaging and fat fraction measurements in the muscle.

Authors:  Matthew Farrow; Andrew J Grainger; Ai Lyn Tan; Maya H Buch; Paul Emery; John P Ridgway; Thorsten Feiweier; Steven F Tanner; John Biglands
Journal:  Br J Radiol       Date:  2019-07-12       Impact factor: 3.039

7.  Paradoxical puborectalis syndrome on diffusion-weighted imaging: a retrospective study of 72 cases.

Authors:  Guiqin Liu; Zhe Cui; Yongming Dai; Qiuying Yao; Jianrong Xu; Guangyu Wu
Journal:  Sci Rep       Date:  2017-06-07       Impact factor: 4.379

8.  Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI.

Authors:  Gustav J Strijkers; Ericky C A Araujo; Noura Azzabou; David Bendahan; Andrew Blamire; Jedrek Burakiewicz; Pierre G Carlier; Bruce Damon; Xeni Deligianni; Martijn Froeling; Arend Heerschap; Kieren G Hollingsworth; Melissa T Hooijmans; Dimitrios C Karampinos; George Loudos; Guillaume Madelin; Benjamin Marty; Armin M Nagel; Aart J Nederveen; Jules L Nelissen; Francesco Santini; Olivier Scheidegger; Fritz Schick; Christopher Sinclair; Ralph Sinkus; Paulo L de Sousa; Volker Straub; Glenn Walter; Hermien E Kan
Journal:  J Neuromuscul Dis       Date:  2019

9.  Paraspinal Muscle DTI Metrics Predict Muscle Strength.

Authors:  Elisabeth Klupp; Barbara Cervantes; Sarah Schlaeger; Stephanie Inhuber; Florian Kreuzpointer; Ansgar Schwirtz; Alexander Rohrmeier; Michael Dieckmeyer; Dennis M Hedderich; Maximilian N Diefenbach; Friedemann Freitag; Ernst J Rummeny; Claus Zimmer; Jan S Kirschke; Dimitrios C Karampinos; Thomas Baum
Journal:  J Magn Reson Imaging       Date:  2019-02-05       Impact factor: 4.813

  9 in total

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