Femoral neck strain prediction during level walking using a combined musculoskeletal and finite element model approach

Autor: Marco Viceconti, Eugene V. McCloskey, Xinshan Li, Zainab Altai, Bart van Veen, Claudia Mazzà, Margaret Paggiosi, Erica Montefiori
Přispěvatelé: Altai Z., Montefiori E., van Veen B., Paggiosi M.A., McCloskey E.V., Viceconti M., Mazza C., Li X.
Rok vydání: 2021
Předmět:
Muscle Physiology
Physiology
Knees
Strain (injury)
02 engineering and technology
Walking
Knee Joints
Weight-Bearing
0302 clinical medicine
Gait (human)
Skeletal Joints
Medicine and Health Sciences
Biomechanics
Femur
Gait
Musculoskeletal System
Mathematics
Orthodontics
Multidisciplinary
biology
Femur Neck
Applied Mathematics
Middle Aged
Magnetic Resonance Imaging
Finite element method
Biomechanical Phenomena
Medius
medicine.anatomical_structure
Lower Extremity
Physical Sciences
Medicine
Legs
Female
Hip Joint
Anatomy
Gait Analysis
Research Article
Science
0206 medical engineering
Finite Element Analysis
Models
Biological

Pelvis
03 medical and health sciences
medicine
Humans
Computer Simulation
Muscle
Skeletal

Skeleton
Femoral neck
Aged
Hip
Biological Locomotion
Biology and Life Sciences
medicine.disease
biology.organism_classification
020601 biomedical engineering
Gait analysis
Body Limbs
Sprains and Strains
Stress
Mechanical

Tomography
X-Ray Computed

Musculoskeletal Mechanics
030217 neurology & neurosurgery
Neck
Forecasting
Zdroj: PLOS ONE
PLoS ONE
PLoS ONE, Vol 16, Iss 2, p e0245121 (2021)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0245121
Popis: Recently, coupled musculoskeletal-finite element modelling approaches have emerged as a way to investigate femoral neck loading during various daily activities. Combining personalised gait data with finite element models will not only allow us to study changes in motion/movement, but also their effects on critical internal structures, such as the femur. However, previous studies have been hampered by the small sample size and the lack of fully personalised data in order to construct the coupled model. Therefore, the aim of this study was to build a pipeline for a fully personalised multiscale (body-organ level) model to investigate the strain levels at the femoral neck during a normal gait cycle. Five postmenopausal women were included in this study. The CT and MRI scans of the lower limb, and gait data were collected for all participants. Muscle forces derived from the body level musculoskeletal models were used as boundary constraints on the finite element femur models. Principal strains were estimated at the femoral neck region during a full gait cycle. Considerable variation was found in the predicted peak strain among individuals with mean peak first principal strain of 0.24% ± 0.11% and mean third principal strain of -0.29% ± 0.24%. For four individuals, two overall peaks of the maximum strains were found to occur when both feet were in contact with the floor, while one individual had one peak at the toe-off phase. Both the joint contact forces and the muscular forces were found to substantially influence the loading at the femoral neck. A higher correlation was found between the predicted peak strains and the gluteus medius (R2 ranged between 0.95 and 0.99) than the hip joint contact forces (R2 ranged between 0.63 and 0.96). Therefore, the current findings suggest that personal variations are substantial, and hence it is important to consider multiple subjects before deriving general conclusions for a target population.
Databáze: OpenAIRE
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