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Simulation of Subject-Specific Progression of Knee Osteoarthritis and Comparison to Experimental Follow-up Data: Data from the Osteoarthritis Initiative.

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Date
2017
Author
Liukkonen MK
Mononen ME
Klets O
Arokoski JP
Saarakkala S
Korhonen RK
Unique identifier
10.1038/s41598-017-09013-7
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Citation
Liukkonen MK. Mononen ME. Klets O. Arokoski JP. Saarakkala S. Korhonen RK. (2017). Simulation of Subject-Specific Progression of Knee Osteoarthritis and Comparison to Experimental Follow-up Data: Data from the Osteoarthritis Initiative..  Scientific Reports, 7, 9177. 10.1038/s41598-017-09013-7.
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CC BY http://creativecommons.org/licenses/by/4.0/
Abstract

Economic costs of osteoarthritis (OA) are considerable. However, there are no clinical tools to predict the progression of OA or guide patients to a correct treatment for preventing OA. We tested the ability of our cartilage degeneration algorithm to predict the subject-specific development of OA and separate groups with different OA levels. The algorithm was able to predict OA progression similarly with the experimental follow-up data and separate subjects with radiographical OA (Kellgren-Lawrence (KL) grade 2 and 3) from healthy subjects (KL0). Maximum degeneration and degenerated volumes within cartilage were significantly higher (p < 0.05) in OA compared to healthy subjects, KL3 group showing the highest degeneration values. Presented algorithm shows a great potential to predict subject-specific progression of knee OA and has a clinical potential by simulating the effect of interventions on the progression of OA, thus helping decision making in an attempt to delay or prevent further OA symptoms.

Subjects
Biomedical engineering   Osteoarthritis   Prognosis   
URI
https://erepo.uef.fi/handle/123456789/5163
Link to the original item
http://dx.doi.org/10.1038/s41598-017-09013-7
Publisher
Springer Nature
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  • Luonnontieteiden ja metsätieteiden tiedekunta
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