Daniela K. Schlüter et al identified biomarkers for knee osteoarthritis (OA), based on high-frequency acoustic emission (AE) measurements generated from knees during movement. The researchers attached a tiny microphone to the knees which could record and analyse knee health based on the noise produced. The researchers analysed the noise produced by the knees of 89 adults with osteoarthritis. Participants were made to stand up from a seated position five times while acoustic signals from their joints were recorded. The technique could record the difference between the signals produced by healthy knees and those with osteoarthritis. The team found that the more ‘hits’ that were visible on the waveforms produced by the knees, the ‘noisier’ the knee and the more severe the osteoarthritis. The method provides a finer, more sensitive way of grading severity of osteoarthritis without relying on an X-ray. The technique could lead to more personalised treatments, tailored to the particular characteristics of a patients’ knee condition.
Source: PLOS ONE October 16, 2019 https://doi.org/10.1371/journal.pone.0223711