ArticleScientific reports2021
Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Acoustic Emission Biomarkers for the Detection and Monitoring of Early Knee Osteoarthritis: Protocol for a Prospective, Single-Center, Exploratory Study.JMIR research protocols · 2026Article
- A robust and interpretable deep transfer learning framework on knee acoustic emissions for osteoarthritis classification.npj biomedical innovations · 2026Article
- Knee Osteoarthritis Diagnosis: Future and Perspectives.Biomedicines · 2025Review
- Validating Joint Acoustic Emissions Models as a Generalizable Predictor of Joint Health.IEEE sensors journal · 2024Article
- Correlation between proprioception, functionality, patient-reported knee condition and joint acoustic emissions.PloS one · 2024Article
- Classifying Pre-Radiographic Osteoarthritis of the Knee Using Wearable Acoustics Sensing at the Point of Care.IEEE sensors journal · 2023Article
- Repeatability of the Vibroarthrogram in the Temporomandibular Joints.Sensors (Basel, Switzerland) · 2022Article
- Detection and Classification of Knee Osteoarthritis.Diagnostics (Basel, Switzerland) · 2022Article
- Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN-Part II: Patellofemoral Joint.Sensors (Basel, Switzerland) · 2022Article
- Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN-Part I: Femoral-Tibial Joint.Sensors (Basel, Switzerland) · 2022Article
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Authors and funding
7 authors.
Funding
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Abstract
To evaluate the acoustic emissions (AE) and kinematic instability (KI) of the osteoarthritic (OA) knee joints, and to compare these signals to radiographic findings. Sixty-six female and 43 male participants aged 44-67 were recruited. On radiography, joint-space narrowing, osteophytes and Kellgren-Lawrence (KL) grade were evaluated. Based on radiography, 54 subjects (the study group) were diagnosed with radiographic OA (KL-grade ≥ 2) while the remaining 55 subjects (KL-grade < 2) formed the control group. AE and KI were recorded with a custom-made prototype and compared with radiographic findings using area-under-curve (AUC) and independent T-test. Predictive logistic regression models were constructed using leave-one-out cross validation. In females, the parameters reflecting consistency of the AE patterns during specific tasks, KI, BMI and age had a significant statistical difference between the OA and control groups (p = 0.001-0.036). The selected AE signals, KI, age and BMI were used to construct a predictive model for radiographic OA with AUC of 90.3% (95% CI 83.5-97.2%) which showed a statistical improvement of the reference model based on age and BMI, with AUC of 84.2% (95% CI 74.8-93.6%). In males, the predictive model failed to improve the reference model. AE and KI provide complementary information to detect radiographic knee OA in females.
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