Literature DB >> 27007789

In Vivo Reconstruction of Lumbar Erector Spinae Architecture Using Diffusion Tensor MRI.

Judith M Sieben1, Ilse van Otten, Arno Lataster, Martijn Froeling, Aart J Nederveen, Gustav J Strijkers, Maarten R Drost.   

Abstract

STUDY
DESIGN: Diffusion tensor magnetic resonance imaging (DT-MRI) reconstruction of lumbar erector spinae (ES) compared with cadaver dissection.
OBJECTIVE: The aim of this study was to reconstruct the human lumbar ES from in vivo DT-MRI measurements and to compare the results with literature and cadaver dissection. SUMMARY OF BACKGROUND DATA: DT-MRI enables 3-dimensional in vivo reconstruction of muscle architecture. Insight in ES architecture may improve the understanding of low back function. Furthermore, DT-MRI reconstructions allow individualized biomechanical modeling, which may serve as a clinical tool in injury evaluation and in improvement of understanding of pathologies like scoliosis.
MATERIALS AND METHODS: The lumbar spine of 1 healthy male volunteer was scanned using a 3.0 T clinical MRI scanner. MRI data acquisition consisted of 3 parts: (1) high-resolution T1-weighted turbo spin echo for anatomical reference; (2) DT-MRI measurements for fiber tractography; (3) dual echo gradient echo sequence for signal correction purposes. After processing, DT-MRI data were exported to a custom-built software program for fiber tractography. The resulting reconstructions were anatomically validated by comparison with cadaver dissection and literature.
RESULTS: DT-MRI reconstruction of 4 parts of the lumbar ES (thoracic part of iliocostalis lumborum, lumbar part of iliocostalis lumborum, thoracic part of longissimus thoracis, and lumbar part of longissimus thoracis) adequately reflected its complex geometry. Some inaccuracies were found in reconstruction details. DT-MRI reconstructions were generally in agreement with anatomical descriptions from literature and with findings in a dissected cadaver specimen.
CONCLUSIONS: DT-MRI enables anatomically valid reconstruction of ES architecture. However, for reliable reconstruction of the smallest fascicles and attachments a higher resolution or application of higher-order models is needed. Reconstructions can be used as input for estimation of muscle architecture parameters in individualized biomechanical modeling. Such models are promising as a tool in clinical evaluation and in research of low back pain mechanisms.

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Mesh:

Year:  2016        PMID: 27007789     DOI: 10.1097/BSD.0000000000000036

Source DB:  PubMed          Journal:  Clin Spine Surg        ISSN: 2380-0186            Impact factor:   1.876


  6 in total

1.  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

2.  In vivo human lower limb muscle architecture dataset obtained using diffusion tensor imaging.

Authors:  James P Charles; Felipe Suntaxi; William J Anderst
Journal:  PLoS One       Date:  2019-10-15       Impact factor: 3.240

3.  Subject-specific muscle properties from diffusion tensor imaging significantly improve the accuracy of musculoskeletal models.

Authors:  James P Charles; Barbara Grant; Kristiaan D'Août; Karl T Bates
Journal:  J Anat       Date:  2020-06-29       Impact factor: 2.610

Review 4.  From fibre to function: are we accurately representing muscle architecture and performance?

Authors:  James Charles; Roger Kissane; Tatjana Hoehfurtner; Karl T Bates
Journal:  Biol Rev Camb Philos Soc       Date:  2022-04-07

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

6.  Multiparametric MRI characterization of level dependent differences in lumbar muscle size, quality, and microstructure.

Authors:  David B Berry; Ana E Rodriguez-Soto; Erin K Englund; Bahar Shahidi; Callan Parra; Lawrence R Frank; Karen R Kelly; Samuel R Ward
Journal:  JOR Spine       Date:  2020-02-03
  6 in total

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