Spinal disorders such as back pain incur a substantial societal and economic burden. Unfortunately, there is lack of understanding and treatment of these disorders are further impeded by the inability to assess spinal forces in vivo. The aim of this project is to address this challenge by developing and testing a novel image-driven approach that will assess the forces in an individual's spine in vivo by incorporating information acquired from multimodal imaging (magnetic resonance imaging (MRI) and biplane X-rays) in a subject-specific model. Magnetic resonance and biplane X-ray imaging are used to capture information about the anatomy, tissues, and motion of an individual's spine as they perform a range of everyday activities. This information is then utilised in a subject-specific computational model based on the finite element method to predict the forces in their spine. The project is also utilising novel machine learning algorithms and in vitro, six-axis mechanical testing on human, porcine and bovine samples to develop and test the modelling methods rigorously.Abstract
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The place and effectiveness of surgery for acromioclavicular dislocation is disputed. We have reviewed 29 patients all treated by an operation which holds the clavicle down to the coracoid process. This was effective in both acute and late cases, with rapid return to work, a low incidence of complications and no requirement for secondary procedures. We consider it to be the method of choice when operation is indicated.
A case of bilateral myositis ossificans in the biceps femoris muscles causing a sciatic nerve palsy on the left side is described. Complete recovery of the sciatic nerve followed excision of the mass of ectopic bone. It is postulated that the patient's hobby of weight-lifting caused the ossification.
