A novel cartilage degeneration algorithm can predict the progression of osteoarthritis in individual patients, according to new research from the University of Eastern Finland. The new algorithm could greatly facilitate clinical decision-making in the treatment of osteoarthritis.
Osteoarthritis (OA) is a joint disease that deteriorates the articular cartilage. The most important risk factors are ageing and overweight, and osteoarthritis is common especially in joints that are subject to heavy loading. For societies, osteoarthritis constitutes a significant financial burden: it cannot be cured by current treatments, and the disease often leads to joint replacement surgery, which is highly expensive. Current imaging methods, such as MRI or X-ray, only provide information on the thickness or composition of the cartilage, but they fail to provide data on the risk of osteoarthritis or tools to predict its progression.
A research group from the University of Eastern Finland tested the ability of a cartilage degeneration algorithm, created earlier by the same group, to predict the progression of osteoarthritis in individual patients and to grade the severity of their disease by using the Kellgren-Lawrence classification. The findings were published in Scientific Reports.
The algorithm was applied to 21 patients who were divided into three groups: patients without OA, patients with mild OA, and patients with severe OA. The patients were divided into the groups based on their Kellgren-Lawrence grades defined experimentally after a four-year follow-up. At the start of the follow-up, all of the patients were OA-free. The algorithm was applied at the onset of the follow-up, and the findings were compared against the four-year follow-up data. Based on the prognosis from the simulation and the experimentally defined…