Literature DB >> 24610770

Time-dependent diffusion in skeletal muscle with the random permeable barrier model (RPBM): application to normal controls and chronic exertional compartment syndrome patients.

Eric E Sigmund1, Dmitry S Novikov, Dabang Sui, Obehi Ukpebor, Steven Baete, James S Babb, Kecheng Liu, Thorsten Feiweier, Jane Kwon, Kellyanne McGorty, Jenny Bencardino, Els Fieremans.   

Abstract

The purpose of this work was to carry out diffusion tensor imaging (DTI) at multiple diffusion times Td in skeletal muscle in normal subjects and chronic exertional compartment syndrome (CECS) patients and analyze the data with the random permeable barrier model (RPBM) for biophysical specificity. Using an institutional review board approved HIPAA-compliant protocol, seven patients with clinical suspicion of CECS and eight healthy volunteers underwent DTI of the calf muscle in a Siemens MAGNETOM Verio 3 T scanner at rest and after treadmill exertion at four different T(d) values. Radial diffusion values λ(rad) were computed for each of seven different muscle compartments and analyzed with RPBM to produce estimates of free diffusivity D(0), fiber diameter a, and permeability κ. Fiber diameter estimates were compared with measurements from literature autopsy reference for several compartments. Response factors (post/pre-exercise ratios) were computed and compared between normal controls and CECS patients using a mixed-model two-way analysis of variance. All subjects and muscle compartments showed nearly time-independent diffusion along and strongly time-dependent diffusion transverse to the muscle fibers. RPBM estimates of fiber diameter correlated well with corresponding autopsy reference. D(0) showed significant (p < 0.05) increases with exercise for volunteers, and a increased significantly (p < 0.05) in volunteers. At the group level, response factors of all three parameters showed trends differentiating controls from CECS patients, with patients showing smaller diameter changes (p = 0.07), and larger permeability increases (p = 0.07) than controls. Time-dependent diffusion measurements combined with appropriate tissue modeling can provide enhanced microstructural specificity for in vivo tissue characterization. In CECS patients, our results suggest that high-pressure interfiber edema elevates free diffusion and restricts exercise-induced fiber dilation. Such specificity may be useful in differentiating CECS from other disorders or in predicting its response to either physical therapy or fasciotomy.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DTI; chronic exertional compartment syndrome; exercise; random permeable barrier model; skeletal muscle; stimulated echo; time-dependent diffusion

Mesh:

Year:  2014        PMID: 24610770      PMCID: PMC3980069          DOI: 10.1002/nbm.3087

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


  45 in total

1.  Single-shot diffusion measurement in laser-polarized Gas.

Authors:  S Peled; C H Tseng; A A Sodickson; R W Mair; R L Walsworth; D G Cory
Journal:  J Magn Reson       Date:  1999-10       Impact factor: 2.229

2.  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

3.  Changes in MR diffusion properties during active muscle contraction in the calf.

Authors:  Yoshikazu Okamoto; Akira Kunimatsu; Tatsuo Kono; Katsuhiro Nasu; Junichi Sonobe; Manabu Minami
Journal:  Magn Reson Med Sci       Date:  2010       Impact factor: 2.471

4.  Diffusion-based MR methods for bone structure and evolution.

Authors:  E E Sigmund; H Cho; P Chen; S Byrnes; Y-Q Song; X E Guo; T R Brown
Journal:  Magn Reson Med       Date:  2008-01       Impact factor: 4.668

5.  Self diffusion of water in frog muscle.

Authors:  J E Tanner
Journal:  Biophys J       Date:  1979-10       Impact factor: 4.033

6.  DTI-based assessment of ischemia-reperfusion in mouse skeletal muscle.

Authors:  Anneriet M Heemskerk; Maarten R Drost; Glenda S van Bochove; Matthijs F M van Oosterhout; Klaas Nicolay; Gustav J Strijkers
Journal:  Magn Reson Med       Date:  2006-08       Impact factor: 4.668

7.  Partially restricted diffusion in a permeable sandstone: observations by stimulated echo PFG NMR.

Authors:  E J Fordham; S J Gibbs; L D Hall
Journal:  Magn Reson Imaging       Date:  1994       Impact factor: 2.546

8.  Simultaneous measurements of diffusion and transverse relaxation in exercising skeletal muscle.

Authors:  D Morvan; A Leroy-Willig
Journal:  Magn Reson Imaging       Date:  1995       Impact factor: 2.546

9.  Reproducibility analysis of diffusion tensor indices and fiber architecture of human calf muscles in vivo at 1.5 Tesla in neutral and plantarflexed ankle positions at rest.

Authors:  Shantanu Sinha; Usha Sinha
Journal:  J Magn Reson Imaging       Date:  2011-05-23       Impact factor: 4.813

10.  MR imaging of compartment syndrome of the lower leg: a case control study.

Authors:  M B Rominger; C J Lukosch; G F Bachmann
Journal:  Eur Radiol       Date:  2004-04-06       Impact factor: 5.315

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  25 in total

1.  Dynamic diffusion-tensor measurements in muscle tissue using the single-line multiple-echo diffusion-tensor acquisition technique at 3T.

Authors:  Steven H Baete; Gene Y Cho; Eric E Sigmund
Journal:  NMR Biomed       Date:  2015-04-22       Impact factor: 4.044

2.  A single-shot measurement of time-dependent diffusion over sub-millisecond timescales using static field gradient NMR.

Authors:  Teddy X Cai; Nathan H Williamson; Velencia J Witherspoon; Rea Ravin; Peter J Basser
Journal:  J Chem Phys       Date:  2021-03-21       Impact factor: 3.488

Review 3.  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
Journal:  J Neuromuscul Dis       Date:  2016-03-03

4.  Quantifying myofiber integrity using diffusion MRI and random permeable barrier modeling in skeletal muscle growth and Duchenne muscular dystrophy model in mice.

Authors:  Kerryanne V Winters; Olivier Reynaud; Dmitry S Novikov; Els Fieremans; Sungheon Gene Kim
Journal:  Magn Reson Med       Date:  2018-03-25       Impact factor: 4.668

5.  Relationships between tissue microstructure and the diffusion tensor in simulated skeletal muscle.

Authors:  David B Berry; Benjamin Regner; Vitaly Galinsky; Samuel R Ward; Lawrence R Frank
Journal:  Magn Reson Med       Date:  2017-10-31       Impact factor: 4.668

Review 6.  Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation.

Authors:  Dmitry S Novikov; Els Fieremans; Sune N Jespersen; Valerij G Kiselev
Journal:  NMR Biomed       Date:  2018-10-15       Impact factor: 4.044

7.  Time-Dependent Influence of Cell Membrane Permeability on MR Diffusion Measurements.

Authors:  Hua Li; Xiaoyu Jiang; Jingping Xie; J Oliver McIntyre; John C Gore; Junzhong Xu
Journal:  Magn Reson Med       Date:  2015-06-11       Impact factor: 4.668

8.  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

9.  Pulsed and oscillating gradient MRI for assessment of cell size and extracellular space (POMACE) in mouse gliomas.

Authors:  Olivier Reynaud; Kerryanne Veronica Winters; Dung Minh Hoang; Youssef Zaim Wadghiri; Dmitry S Novikov; Sungheon Gene Kim
Journal:  NMR Biomed       Date:  2016-07-22       Impact factor: 4.044

10.  Spatially resolved kinetics of skeletal muscle exercise response and recovery with multiple echo diffusion tensor imaging (MEDITI): a feasibility study.

Authors:  E E Sigmund; S H Baete; K Patel; D Wang; D Stoffel; R Otazo; P Parasoglou; J Bencardino
Journal:  MAGMA       Date:  2018-05-14       Impact factor: 2.310

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