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Sci Rep. 2017 Aug 23;7(1):9177. doi: 10.1038/s41598-017-09013-7.

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

Author information

1
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. mimmi.liukkonen@uef.fi.
2
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland. mika.mononen@uef.fi.
3
Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland.
4
Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland.
5
Department of Physical and Rehabilitation Medicine, Helsinki University Hospital, Helsinki, Finland.
6
University of Helsinki, Helsinki, Finland.
7
Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland.
8
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.
9
Diagnostic Imaging Centre, Kuopio University Hospital, Kuopio, Finland.

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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