Detection of osteoarthritis using acoustic emission analysis.

Osteoarthritis (OA) of the knee is a widespread disease, often resulting in pain, restricted mobility and a reduction of activities and participation. Initial studies gave hints that Acoustic Emission Analysis (AEA) is capable of detecting early changes in cartilage structure. However, up to date no in vivo validation studies have been conducted. A prospective pilot study was conducted to investigate this diagnostic capability and the accuracy of the AEA, using magnetic resonance imaging (MRI) as a reference standard. Additionally, potential factors influencing false positive or negative results were studied. Twenty-eight patients, receiving MRI due to discomfort of the knee, were examined with AEA. Sensitivity was 0.92 for the whole knee and 0.86 to 1 for different parts of the knee. The specificity was 0.7 and 0.59 to 0.78, respectively. Confidence intervals varied between 0 and 0.33 for sensitivity and 0.1 and 0.24 for specificity. The diagnostic accuracy of the AEA was shown to be good to very good. However, because of the relatively small number of patients involved, interpretation of the data should be handled with care. Future studies with greater sample sizes have to be conducted to confirm the results of this investigation.

Non-destructive and non-invasive observation of friction and wear of human joints and of fracture initiation by acoustic emission.

Quality control in orthopaedic diagnostics according to DIN EN ISO 9000ff requires methods of non-destructive process control, which do not harm the patient by radiation or by invasive examinations. To obtain an improvement in health economy, quality-controlled and non-destructive measurements have to be introduced into the diagnostics and therapy of human joints and bones. A non-invasive evaluation of the state of wear of human joints and of the cracking tendency of bones is, as of today's point of knowledge, not established. The analysis of acoustic emission signals allows the prediction of bone rupture far below the fracture load. The evaluation of dry and wet bone samples revealed that it is possible to conclude from crack initiation to the bone strength and thus to predict the probability of bone rupture.

[Acoustic emission analysis of human bones within the scope of clinical diagnosis]. / Schallemissionsanalyse an menschlichen Knochen im Rahmen der klinischen Diagnostik.

Fractures occurring in human bones produce an acoustic signal, analysis of which permits an evaluation of its source. In the industrial setting acoustic emission analysis (AEA) is used to non-invasively monitor the function of stressed technical systems or parts of systems. During servicing and monitoring of technical systems, acoustic signals emitted by cracks or material deformation are located with the aid of a few acoustic sensors and evaluated for risk-identification purposes. With appropriate technology, therefore, both cortical and trabecular bone can be monitored by acoustic emission analysis. A search is currently ongoing for suitable acoustic technology capable of assessing the extent and location of bone defects and predicting associated risks of fractures occurring. In the present study a system for the measurement and analysis of acoustic emission is described which permits the measurement and analysis of acoustic signals obtained from processed and fresh human and porcine femora. In slightly modified form this system was then used to assess the type and extent of acoustic emission obtained from explanted human femora exposed to cyclical torsional loading until fracture occurred.