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Imaging Studies III: Computed Tomography

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Related Experiment Video

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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Quantification of cervical spine muscle fat: a comparison between T1-weighted and multi-echo gradient echo imaging

James M Elliott1, David M Walton, Alfred Rademaker

  • 1Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, 645 North Michigan Avenue, Suite 1100 room 1139, Chicago, IL 60611, USA. j-elliott@northwestern.edu.

BMC Medical Imaging
|September 12, 2013
PubMed
Summary

This study shows a rapid MRI method accurately quantifies neck muscle fat infiltration (MFI) in healthy individuals. This technique is reliable and comparable to traditional methods, potentially aiding clinical assessment of whiplash recovery.

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Area of Science:

  • Biomedical Imaging
  • Musculoskeletal Radiology
  • Quantitative MRI

Background:

  • Neck muscle fat infiltration (MFI) on T1-weighted MRI correlates with poor recovery after whiplash injuries.
  • MFI may serve as a quantifiable marker for poor recovery, but current methods are time-consuming.
  • A faster MRI technique is needed for clinical translation.

Purpose of the Study:

  • To evaluate and quantify MFI in cervical multifidus muscles using a rapid 3D multi-echo gradient echo (GRE) Dixon method.
  • To compare MFI measurements obtained with the GRE Dixon method against T1-weighted imaging in healthy subjects.
  • To assess the inter-tester reliability of the GRE Dixon method for MFI quantification.

Main Methods:

  • Five asymptomatic participants underwent cervical spine MRI on a 3 Tesla system.
  • Muscle and fat signal intensities were quantified using T1-weighted and GRE Dixon sequences (C3-C7 multifidii).
  • Inter-tester reliability was assessed using Pearson's Intra-class correlation coefficient, Bland-Altman Plots, and Lin's-Concordance Coefficient.

Main Results:

  • Mean MFI for multifidii was comparable between T1-weighted (18.4%) and GRE Dixon (18.8%) methods.
  • Pearson correlation coefficients for inter-tester reliability on GRE sequences ranged from .83 to .99.
  • Bland-Altman plots and Lin's-Concordance confirmed good agreement between two blinded raters using GRE imaging.

Conclusions:

  • The 3D GRE Dixon MRI method provides reliable MFI quantification for healthy cervical musculature.
  • This rapid method yields results comparable to T1-weighted imaging.
  • Further studies with larger symptomatic cohorts and histological validation are recommended.