This study assesses spinal imbalance and motion in patients with sLSS and elicits fatigue via back exercises and compares spinal imbalance and motion before and after the fatigue exercise and compares these to healthy controls, allowing to associate sLSS-specific motion patterns to paraspinal muscle fatigue.
Symptomatic lumbar spinal stenosis (sLSS) is a common syndrome affecting the human spine characterized by age related degeneration of the lumbar discs and facet joints resulting in pain, limited function and compromised quality of life. In a healthy spine, global and local spinal loads during static posture and dynamic motion will have minimal effects on the spinal canal. However, spinal loads altered by the presence of sLSS may result in further narrowing of the spinal canal and compression of the neural elements or in overloading of the already degenerated lumbar segments possibly eliciting typical pain symptoms. This study assesses spinal imbalance and motion in patients with sLSS and elicits fatigue via back exercises and compares spinal imbalance and motion before and after the fatigue exercise and compares these to healthy controls, allowing to associate sLSS-specific motion patterns to paraspinal muscle fatigue. Additional data generated using magnetic resonance tomography allows detecting and assessing differences in muscle degeneration between sLSS patients and healthy controls. Radiological images from the spine in upright position using EOS, a specialized low-dose x-ray unit will be obtained to allow the calculation of the actual clinical global and local spinal imbalance. Furthermore, this study investigates the outcome of the decompression surgery during a second study visit scheduled 1 year postoperatively. The data obtained here are pilot data that will be critical for designing a larger clinical trial and produce important information for adapting musculoskeletal spine models to simulate spinal imbalance and motion and further defining meaningful outcome parameters.
Study Type
OBSERVATIONAL
Enrollment
30
The study entails the collection of clinical, functional, radiological, and biomechanical data.
Spine Center, University Hospital Basel
Basel, Switzerland
Global spinal imbalance assessed using motion capture
Global spinal imbalance calculated from markers placed on specific anatomical landmarks: electromyographic (EMG) electrode placement bilaterally on the multifidus, erector spinae (longissimus), erector spinae (iliocostalis), transversus abdominis, gluteus medius, vastus medialis, tibialis anterior and gastrocnemius medialis muscles. The curvature of the lumbar region during natural stance, natural seated posture, maximum trunk flexion, maximum trunk extension and during walking will be computed from the marker data. A cubic polynomial function will be fit to the marker positions in each time frame, approximating an S-shaped spine curvature with thoracic kyphosis and lumbar lordosis curves and the curvature of the lumbar spine will be computed for each task.
Time frame: approximate duration: 30 minutes at baseline and at 1 year after decompression surgery for patients with sLSS
Global spinal imbalance assessed using EOS (upright standing sagittal plane EOS images of the full body including entire spine and pelvis)
Static global and local spinal imbalance will be assessed on the EOS images as the C7 plumb line (C7PL), sagittal vertical axis (SVA) and spinosacral angle (SSA). The discrepancy between SSA and SVA are a sign of the prevalence of static compensation mechanism. The correction angle to a balanced situation will be measured using the full balance integrated method.
Time frame: approximate duration: 10 minutes at baseline and at 1 year after decompression surgery for patients with sLSS
Dynamic global spinal imbalance
Dynamic spinal imbalance will be assessed as the difference between spinal imbalance during walking compared to standing.
Time frame: one time assessment at baseline and at 1 year after decompression surgery for patients with sLSS
Difference in global spinal imbalance between the fatigued and non-fatigued state
The curvature of the lumbar region between the fatigued and non-fatigued state will be computed from the marker data.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: one time assessment at baseline and at 1 year after decompression surgery for patients with sLSS