A prospective study to identify the mechanical causes and methods for early detection of knee osteoarthritis [ 2003 - 2005 ]

Research Grant

Researchers: Prof David Lloyd (Principal investigator) ,  Dr Maguire Ken ,  Prof Gwidon Stachowiak ,  Prof Markus Kuster

Brief description Knee osteoarthritis is a great cost to society, financially and in quality of life. Anti-inflammatory drugs are commonly used to treat the symptoms, but many people receive joint replacements to stop pain and improve function. We need to prevent osteoarthritis, but the causes for this common disease are largely unknown. Animal studies have shown two particular mechanical factors that cause osteoarthritis, which are seen in the walking and running, or gait, patterns of some people. We call these pathological gait patterns as they impose larger-than-normal forces on the knee's articular surfaces. We measure these knee forces with our new computer knee model coupled with data that we measure in a gait analysis laboratory. These forces may cause knee osteoarthritis in humans, but this is still unknown. Currently there is no simple medical test to detect the early onset of knee osteoarthritis. The bones in the knee are one of the first structures to show osteoarthritic changes. Using our new computerised analysis of high definition X-ray of the knee we can identify subtle differences in the knee due to osteoarthritis. This will be compared with changes to joint assessed using MRI. Osteoarthritis develops slowly in normal people, so to study progression of knee osteoarthritis we need a human population that has a higher risk of developing the disease. Partial meniscectomy in the knee is a common surgery performed to improve knee function in those who have suffered a knee meniscus injury. However, partial meniscectomy patients have a high risk of developing knee osteoarthritis. Therefore, using partial meniscectomy patients we are investigating if pathological gait patterns cause knee osteoarthritis, measuring the development of the disease with our new X-ray methods. With the gait analysis methods we can also identify the movements that characterise these pathological gait patterns so we can formulate rehabilitation programmes to help prevent knee osteoarthritis.

Funding Amount $AUD 431,000.00

Funding Scheme NHMRC Project Grants

Notes Standard Project Grant