Evidence map›Paper›PMID 32702015›Full record

ArticlePloS one2020

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.

Hans Kainz, Bryce Adrian Killen, Mariska Wesseling, Fernando Perez-Boerema, Lorenzo Pitto, Jose Manuel Garcia Aznar, Sandra Shefelbine, Ilse Jonkers

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Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hans KainzDepartment of Biomechanics, Kinesiology and Computer Science in Sport, University of Vienna, Vienna, Austria.ORCID 0000-0001-5296-6040
Bryce Adrian KillenHuman Movement Biomechanics Research Group, KU Leuven, Leuven, Belgium.
Mariska WesselingHuman Movement Biomechanics Research Group, KU Leuven, Leuven, Belgium.
Fernando Perez-BoeremaDepartment of Mechanical Engineering, KU Leuven, Leuven, Belgium.
Lorenzo PittoHuman Movement Biomechanics Research Group, KU Leuven, Leuven, Belgium.
Jose Manuel Garcia AznarDepartment of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain.
Sandra ShefelbineDepartment of Bioengineering, Northeastern University, Boston, Massachusetts, United States of America.
Ilse JonkersHuman Movement Biomechanics Research Group, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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° to 150° and AVA ranging from 20° to 50° 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.

Indexed as

Finite Element AnalysisBiomechanical PhenomenaBone DevelopmentChildComputer SimulationFemurGaitHip JointHumansMagnetic Resonance ImagingMaleMuscle, Skeletal

Identifiers

PMID32702015
PMCPMC7377390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.