期刊
SCIENTIFIC REPORTS
卷 7, 期 -, 页码 -出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-017-09013-7
关键词
-
资金
- European Research Council under European Union's Seventh Framework Programme/ERC [281180]
- Academy of Finland [286526, 268378, 305138]
- Sigrid Juselius Foundation
- University of Eastern Finland
- University of Oulu, Kuopio University Hospital (VTR) [5041752, PY210]
- MRC-Oulu (Medical Research Centre)
- Doctoral Programme in Science, Technology and Computing, University of Eastern Finland
- Academy of Finland (AKA) [305138, 305138] Funding Source: Academy of Finland (AKA)
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 subjectspecific 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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据