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Related Experiment Videos

Structure-Specific Movement Patterns in Patients With Chronic Low Back Dysfunction Using Lumbar Combined Movement

Aubrey P Monie1, Roger I Price2, Christopher R P Lind3

  • 1Centre for Musculoskeletal Studies, School of Surgery, The University of Western Australia, Crawley, Australia.

Journal of Manipulative and Physiological Therapeutics
|April 18, 2017
PubMed
Summary

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Computer-aided combined movement examination (CME) shows distinct low back movement patterns in lumbar spondylosis patients. This novel tool helps identify atypical movements and differentiate between various structural pathologies for better pain management.

Area of Science:

  • Orthopedics
  • Rehabilitation Medicine
  • Biomechanical Engineering

Background:

  • Lumbar spondylosis often involves complex low back pain and movement dysfunction.
  • Accurate assessment of lumbar movement is crucial for effective pain management and rehabilitation.
  • Existing methods may not fully capture the nuances of movement patterns associated with specific pathologies.

Purpose of the Study:

  • To evaluate a novel computer-aided combined movement examination (CME) for assessing changes in low back movement post-intervention.
  • To establish a normal reference range (NRR) for CME to compare with patient data.
  • To explore distinct CME movement patterns associated with intervertebral disc, facet joint, and nerve root compression in lumbar spondylosis.

Main Methods:

  • A test-retest cohort study design was employed with 17 participants diagnosed with lumbar spondylosis.
Keywords:
ArticularLumbar VertebraePainRange of MotionSpine

Related Experiment Videos

  • Computer-aided CME was performed before and after pain management interventions.
  • Lumbar range of motion, pain, disability, and self-reported health were recorded. A CME NRR (n=159) was used for comparison.
  • Cases were subgrouped post hoc into intervertebral disc, facet dysfunction, and nerve root compression for analysis.

    • Main Results:

    • Seven participants identified a specific "combined" movement as their most painful.
    • Self-report data showed improvements in health surveys (4 participants), low back function (5 participants by ≥30%), and pain (6 participants achieved minimal clinically important difference).
    • Subgrouping revealed distinct CME movement patterns corresponding to specific structural pathologies.

    Conclusions:

    • Computer-aided CME effectively identifies atypical lumbar movements compared to an age and sex-matched NRR.
    • Preliminary evidence suggests distinct CME movement patterns for intervertebral disc, facet joint, and nerve root compression in chronic lumbar spondylosis.
    • CME shows promise as a tool for differentiating movement abnormalities in specific lumbar pathologies.