A Novel Method to Simulate the Progression of Collagen Degeneration of Cartilage in the Knee: Data from the Osteoarthritis Initiative

被引:84
|
作者
Mononen, Mika E. [1 ,2 ]
Tanska, Petri [1 ]
Isaksson, Hanna [3 ]
Korhonen, Rami K. [1 ,4 ]
机构
[1] Univ Eastern Finland, Dept Appl Phys, Kuopio, Finland
[2] Oulu Univ Hosp, Dept Radiol, Oulu, Finland
[3] Lund Univ, Dept Biomed Engn, Lund, Sweden
[4] Kuopio Univ Hosp, Diagnost Imaging Ctr, SF-70210 Kuopio, Finland
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
基金
欧洲研究理事会; 芬兰科学院; 瑞典研究理事会;
关键词
ARTICULAR-CARTILAGE; IN-VIVO; RISK-FACTORS; PHYSICAL-ACTIVITY; JOINT MECHANICS; STANCE PHASE; II COLLAGEN; MENISCECTOMY; MODEL; MENISCUS;
D O I
10.1038/srep21415
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We present a novel algorithm combined with computational modeling to simulate the development of knee osteoarthritis. The degeneration algorithm was based on excessive and cumulatively accumulated stresses within knee joint cartilage during physiological gait loading. In the algorithm, the collagen network stiffness of cartilage was reduced iteratively if excessive maximum principal stresses were observed. The developed algorithm was tested and validated against experimental baseline and 4-year follow-up Kellgren-Lawrence grades, indicating different levels of cartilage degeneration at the tibiofemoral contact region. Test groups consisted of normal weight and obese subjects with the same gender and similar age and height without osteoarthritic changes. The algorithm accurately simulated cartilage degeneration as compared to the Kellgren-Lawrence findings in the subject group with excess weight, while the healthy subject group's joint remained intact. Furthermore, the developed algorithm followed the experimentally found trend of cartilage degeneration in the obese group (R-2 = 0.95, p < 0.05; experiments vs. model), in which the rapid degeneration immediately after initiation of osteoarthritis (0-2 years, p < 0.001) was followed by a slow or negligible degeneration (2-4 years, p > 0.05). The proposed algorithm revealed a great potential to objectively simulate the progression of knee osteoarthritis.
引用
收藏
页数:14
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