Simulation of subject-specific progression of knee osteoarthritis and comparison to experimental follow-up data : data from the osteoarthritis initiative
Liukkonen, Mimmi K.; Mononen, Mika E.; Klets, Olesya; Arokoski, Jari P.; Saarakkala, Simo; Korhonen, Rami K. (2017-08-23)
Liukkonen, M. K., Mononen, M. E., Klets, O., Arokoski, J. P., Saarakkala, S., & Korhonen, R. K. (2017). Simulation of Subject-Specific Progression of Knee Osteoarthritis and Comparison to Experimental Follow-up Data: Data from the Osteoarthritis Initiative. Scientific Reports, 7(1). https://doi.org/10.1038/s41598-017-09013-7
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https://urn.fi/URN:NBN:fi-fe2019081223929
Tiivistelmä
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.
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