To facilitate innovative, clinically focussed imaging developments in Scotland, £10,000 from the Chief Scientist Office (CSO) of the Scottish Government Health and Social Care Directorates has been awarded to the research project Clinical importance of radiolucent lines in knee surgery. Dr Matthew Banger from University of Strathclyde is leading this project, in collaboration with orthopaedic clinicians at the Glasgow Royal Infirmary (Mr Mark Blyth and Dr James Doonan), to develop a method of detecting radiolucent lines with machine learning in a new database of clinical x-ray images from knee replacement patients. Bone density (radiolucency) underneath the knee replacement implant is an indicator of physiological changes in the joint following surgery; however, its detection on x-ray is currently dependent upon a highly subjective scoring system. This award will enable an automated process for the detection of radiolucency to be created and validated in a large imaging database, and evaluated against relevant clinical outcome scores, in order to provide an objective measure of changing bone densities to be used in clinical interpretations. A refined machine learning approach to define the presence or absence of radiolucency in x-ray data will support well informed clinical decisions in care for arthroplasty patients, particularly around the requirement for revision surgery.
CSO Award for Clinical Imaging Innovation and Partnership to support machine learning project for radiolucency detection in clinical x-rays
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