Literature DB >> 23210581

Correlation between pennation angle and image quality of skeletal muscle fibre tractography using deterministic diffusion tensor imaging.

Yoshikazu Okamoto1, Toru Okamoto, Kujiraoka Yuka, Yuji Hirano, Tomonori Isobe, Manabu Minami.   

Abstract

INTRODUCTION: The aim of this study was to ascertain whether a correlation existed between muscle pennation angle and the ability to successfully perform tractography of the lower leg muscle fibres with deterministic diffusion tensor imaging (DTI) in normal volunteers.
METHODS: Fourteen volunteers aged 20-39 (mean 28.2 years old) were recruited. All volunteers were scanned using DTI, and six fibre tractographs were constructed from one lower leg of each volunteer, and the 'fibre density' was calculated in each of the tractographs. The pennation angle is the angle formed by the muscle fibre and the aponeurosis. The average pennation angle (AVPA) and standard deviation of the pennation angle (SDPA) were also measured for each muscle by ultrasonography in the same region as the MRI scan. For all 84 tractography images, the correlation coefficient between the fibre density and AVPA or SDPA was calculated.
RESULTS: Fibre density and AVPA showed a moderate negative correlation (R = -0.72), and fibre density and SDPA showed a weak negative correlation (R = -0.47). With respect to comparisons within each muscle, AVPA and fibre density showed a moderate negative correlation in the gastrocnemius lateralis muscle (R = -0.57).
CONCLUSIONS: Our data suggest that a larger, more variable pennation angle resulted in worse skeletal muscle tractography using deterministic DTI.
© 2012 The Authors. Journal of Medical Imaging and Radiation Oncology © 2012 The Royal Australian and New Zealand College of Radiologists.

Mesh:

Year:  2012        PMID: 23210581     DOI: 10.1111/j.1754-9485.2012.02450.x

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  5 in total

1.  Peripheral quantitative computed tomography-derived muscle density and peripheral magnetic resonance imaging-derived muscle adiposity: precision and associations with fragility fractures in women.

Authors:  A K O Wong; K A Beattie; K K H Min; C Gordon; L Pickard; A Papaioannou; J D Adachi
Journal:  J Musculoskelet Neuronal Interact       Date:  2014-12       Impact factor: 2.041

2.  Effect of biological factors on successful measurements with skeletal-muscle (1)H-MRS.

Authors:  Tomonori Isobe; Yoshikazu Okamoto; Yuji Hirano; Hiroki Ando; Kenta Takada; Eisuke Sato; Kazuya Shinoda; Kiichi Tadano; Hideyuki Takei; Satoshi Kamizawa; Yutaro Mori; Hiroaki Suzuki
Journal:  Ther Clin Risk Manag       Date:  2016-07-20       Impact factor: 2.423

3.  A novel diffusion-tensor MRI approach for skeletal muscle fascicle length measurements.

Authors:  Jos Oudeman; Valentina Mazzoli; Marco A Marra; Klaas Nicolay; Mario Maas; Nico Verdonschot; Andre M Sprengers; Aart J Nederveen; Gustav J Strijkers; Martijn Froeling
Journal:  Physiol Rep       Date:  2016-12

Review 4.  Diffusion tensor imaging in the musculoskeletal and peripheral nerve systems: from experimental to clinical applications.

Authors:  Vito Chianca; Domenico Albano; Carmelo Messina; Claudia Maria Cinnante; Fabio Maria Triulzi; Francesco Sardanelli; Luca Maria Sconfienza
Journal:  Eur Radiol Exp       Date:  2017-09-30

Review 5.  Potential Role of MRI Imaging for Myofascial Pain: A Scoping Review for the Clinicians and Theoretical Considerations.

Authors:  Valerie Evans; Michael Behr; Anshika Gangwar; Michael D Noseworthy; Dinesh Kumbhare
Journal:  J Pain Res       Date:  2021-05-27       Impact factor: 3.133

  5 in total

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