To assess the ability of magnetic resonance spectroscopy (MRS) to detect changes in spinal muscle metabolism after a 4-week exercise intervention. Spinal muscle atrophy is associated with back pain and exercise interventions have been shown to reduce pain and improve function. It is not always clear, however, whether improvements are due to enhanced muscle performance or occur for other reasons (e.g. psychological, neurological). MRS can be used to measure muscle metabolism and could therefore be useful for assessing the mechanisms by which exercise improves function in back pain patients.Purpose of the study
Background
To incorporate magnetic resonance (MR) image data in a finite element (FE) model to estimate intervertebral disc stress as a function of posture. Determining the stresses on the intervertebral discs is important for understanding disc degeneration and developing treatment strategies. The effect of different postures on disc stress has previously been investigated through disc pressure measurements and through computational modelling. Kinematic data derived from MR images and used in an FE model may provide a non-invasive way of assessing a wide range of subjects and postures.Purpose of the study
Background
Low back pain is highly prevalent, particularly in manual occupations. We previously showed that the lumbar spine has an intrinsic shape, identifiable in lying, sitting and standing postures, that affects the spine's response to load. Its effects on motion are unknown. Here we investigate whether intrinsic spinal shape is detectable throughout a greater range of postures and its effect on how healthy adults lift a weighted box. The lumbar spine was imaged using a positional MRI with participants (n=30) in 6 postures ranging from extension to full flexion. Active shape modelling was used to identify and quantify ‘modes’ of variation in lumbar spine shape. 3D motion capture analysed participants' motion while lifting a box (6–15 kg, self-selected).Background and Aim
Methods
