A multi-scale modelling framework combining musculoskeletal rigid-body simulations with adaptive finite element analyses, to evaluate the impact of femoral geometry on hip joint contact forces and femoral bone growth

被引:47
作者
Kainz, Hans [1 ,2 ]
Killen, Bryce Adrian [2 ]
Wesseling, Mariska [2 ]
Perez-Boerema, Fernando [3 ]
Pitto, Lorenzo [2 ]
Aznar, Jose Manuel Garcia [4 ]
Shefelbine, Sandra [5 ]
Jonkers, Ilse [2 ]
机构
[1] Univ Vienna, Dept Biomech Kinesiol & Comp Sci Sport, Vienna, Austria
[2] Katholieke Univ Leuven, Human Movement Biomech Res Grp, Leuven, Belgium
[3] Katholieke Univ Leuven, Dept Mech Engn, Leuven, Belgium
[4] Univ Zaragoza, Dept Mech Engn, Zaragoza, Spain
[5] Northeastern Univ, Dept Bioengn, Boston, MA 02115 USA
基金
欧盟地平线“2020”;
关键词
NECK-SHAFT ANGLE; GAIT PATTERNS; PREDICTION; CHILDREN; ANTEVERSION; KINEMATICS; MUSCLES; CREATE; PLATE;
D O I
10.1371/journal.pone.0235966
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
Multi-scale simulations, combining muscle and joint contact force (JCF) from musculoskeletal simulations with adaptive mechanobiological finite element analysis, allow to estimate musculoskeletal loading and predict femoral growth in children. Generic linearly scaled musculoskeletal models are commonly used. This approach, however, neglects subject- and age-specific musculoskeletal geometry, e.g. femoral neck-shaft angle (NSA) and anteversion angle (AVA). This study aimed to evaluate the impact of proximal femoral geometry, i.e. altered NSA and AVA, on hip JCF and femoral growth simulations. Musculoskeletal models with NSA ranging from 120 degrees to 150 degrees and AVA ranging from 20 degrees to 50 degrees were created and used to calculate muscle and hip JCF based on the gait analysis data of a typically developing child. A finite element model of a paediatric femur was created from magnetic resonance images. The finite element model was morphed to the geometries of the different musculoskeletal models and used for mechanobiological finite element analysis to predict femoral growth trends. Our findings showed that hip JCF increase with increasing NSA and AVA. Furthermore, the orientation of the hip JCF followed the orientation of the femoral neck axis. Consequently, the osteogenic index, which is a function of cartilage stresses and defines the growth rate, barely changed with altered NSA and AVA. Nevertheless, growth predictions were sensitive to the femoral geometry due to changes in the predicted growth directions. Altered NSA had a bigger impact on the growth results than altered AVA. Growth simulations based on mechanobiological principles were in agreement with reported changes in paediatric populations.
引用
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页数:18
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