Literature DB >> 27862471

Assessment of passive muscle elongation using Diffusion Tensor MRI: Correlation between fiber length and diffusion coefficients.

Valentina Mazzoli1,2,3, Jos Oudeman1, Klaas Nicolay3, Mario Maas1, Nico Verdonschot2, Andre M Sprengers2, Aart J Nederveen1, Martijn Froeling4, Gustav J Strijkers5.   

Abstract

In this study we investigated the changes in fiber length and diffusion parameters as a consequence of passive lengthening and stretching of the calf muscles. We hypothesized that changes in radial diffusivity (RD) are caused by changes in the muscle fiber cross sectional area (CSA) as a consequence of lengthening and shortening of the muscle. Diffusion Tensor MRI (DT-MRI) measurements were made twice in five healthy volunteers, with the foot in three different positions (30° plantarflexion, neutral position and 15° dorsiflexion). The muscles of the calf were manually segmented on co-registered high resolution anatomical scans, and maps of RD and axial diffusivity (AD) were reconstructed from the DT-MRI data. Fiber tractography was performed and mean fiber length was calculated for each muscle group. Significant negative correlations were found between the changes in RD and changes in fiber length in the dorsiflexed and plantarflexed positions, compared with the neutral foot position. Changes in AD did not correlate with changes in fiber length. Assuming a simple cylindrical model with constant volume for the muscle fiber, the changes in the muscle fiber CSA were calculated from the changes in fiber length. In line with our hypothesis, we observed a significant positive correlation of the CSA with the measured changes in RD. In conclusion, we showed that changes in diffusion coefficients induced by passive muscle stretching and lengthening can be explained by changes in muscle CSA, advancing the physiological interpretation of parameters derived from skeletal muscle DT-MRI.
Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  diffusion tensor imaging; fiber length; passive contraction; radial diffusivity; skeletal muscles

Mesh:

Year:  2016        PMID: 27862471     DOI: 10.1002/nbm.3661

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


  7 in total

1.  Contemporary image-based methods for measuring passive mechanical properties of skeletal muscles in vivo.

Authors:  Lynne E Bilston; Bart Bolsterlee; Antoine Nordez; Shantanu Sinha
Journal:  J Appl Physiol (1985)       Date:  2018-09-20

Review 2.  Real-Time Magnetic Resonance Imaging.

Authors:  Krishna S Nayak; Yongwan Lim; Adrienne E Campbell-Washburn; Jennifer Steeden
Journal:  J Magn Reson Imaging       Date:  2020-12-09       Impact factor: 4.813

3.  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

4.  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

5.  Anatomically accurate model of EMG during index finger flexion and abduction derived from diffusion tensor imaging.

Authors:  Diego Pereira Botelho; Kathleen Curran; Madeleine M Lowery
Journal:  PLoS Comput Biol       Date:  2019-08-29       Impact factor: 4.475

6.  Diffusion Tensor Imaging of Skeletal Muscle Contraction Using Oscillating Gradient Spin Echo.

Authors:  Valentina Mazzoli; Kevin Moulin; Feliks Kogan; Brian A Hargreaves; Garry E Gold
Journal:  Front Neurol       Date:  2021-02-15       Impact factor: 4.003

7.  A diffusion tensor-based method facilitating volumetric assessment of fiber orientations in skeletal muscle.

Authors:  Laura Secondulfo; Melissa T Hooijmans; Joep J Suskens; Valentina Mazzoli; Mario Maas; Johannes L Tol; Aart J Nederveen; Gustav J Strijkers
Journal:  PLoS One       Date:  2022-01-27       Impact factor: 3.240

  7 in total

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