Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings
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 K...
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2021
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oai:doaj.org-article:7bc65b1ec62e4ee58433331bf447965f2021-12-02T19:17:04ZAcoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings10.1038/s41598-021-98945-22045-2322https://doaj.org/article/7bc65b1ec62e4ee58433331bf447965f2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98945-2https://doaj.org/toc/2045-2322Abstract 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.Mika T. NevalainenOlli VeikkolaJerome ThevenotAleksei TiulpinJukka HirvasniemiJaakko NiinimäkiSimo S. SaarakkalaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Mika T. Nevalainen Olli Veikkola Jerome Thevenot Aleksei Tiulpin Jukka Hirvasniemi Jaakko Niinimäki Simo S. Saarakkala Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings |
description |
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. |
format |
article |
author |
Mika T. Nevalainen Olli Veikkola Jerome Thevenot Aleksei Tiulpin Jukka Hirvasniemi Jaakko Niinimäki Simo S. Saarakkala |
author_facet |
Mika T. Nevalainen Olli Veikkola Jerome Thevenot Aleksei Tiulpin Jukka Hirvasniemi Jaakko Niinimäki Simo S. Saarakkala |
author_sort |
Mika T. Nevalainen |
title |
Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings |
title_short |
Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings |
title_full |
Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings |
title_fullStr |
Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings |
title_full_unstemmed |
Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings |
title_sort |
acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findings |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/7bc65b1ec62e4ee58433331bf447965f |
work_keys_str_mv |
AT mikatnevalainen acousticemissionsandkinematicinstabilityoftheosteoarthritickneejointcomparisonwithradiographicfindings AT olliveikkola acousticemissionsandkinematicinstabilityoftheosteoarthritickneejointcomparisonwithradiographicfindings AT jeromethevenot acousticemissionsandkinematicinstabilityoftheosteoarthritickneejointcomparisonwithradiographicfindings AT alekseitiulpin acousticemissionsandkinematicinstabilityoftheosteoarthritickneejointcomparisonwithradiographicfindings AT jukkahirvasniemi acousticemissionsandkinematicinstabilityoftheosteoarthritickneejointcomparisonwithradiographicfindings AT jaakkoniinimaki acousticemissionsandkinematicinstabilityoftheosteoarthritickneejointcomparisonwithradiographicfindings AT simossaarakkala acousticemissionsandkinematicinstabilityoftheosteoarthritickneejointcomparisonwithradiographicfindings |
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1718376921471909888 |