Evidence map›Paper›PMID 39565444›Full record

ArticleAnnals of biomedical engineering2025

Statistical Shape Modeling to Determine Poromechanics of the Human Knee Joint.

Ruoqi Deng, Olivia L Bruce, Kalin D Gibbons, Clare K Fitzpatrick, LePing Li

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Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ruoqi DengDepartment of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Drive, N.W., Calgary, AB, T2N 1N4, Canada.
Olivia L BruceHuman Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.
Kalin D GibbonsComputational Biosciences Laboratory, Mechanical and Biomedical Engineering, Boise State University, Boise, ID, USA.
Clare K FitzpatrickComputational Biosciences Laboratory, Mechanical and Biomedical Engineering, Boise State University, Boise, ID, USA.
LePing LiDepartment of Mechanical and Manufacturing Engineering, University of Calgary, 2500 University Drive, N.W., Calgary, AB, T2N 1N4, Canada. Leping.Li@ucalgary.ca.ORCID http://orcid.org/0000-0002-4251-8225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subject-specific knee joint models are widely used to predict joint contact mechanics for individuals but may not capture the variance in knee joint geometry across a population. Statistical shape modeling uses the dataset of a cohort to encapsulate population-wide variability. The present study aimed to develop a shape modeling procedure for poromechanical finite element models of knee joint to account for population diversity in the creep response of knees. Shape models of right knee joints were created from MRI of 31 healthy male subjects using principal component analysis. Creep analysis was performed for 13 shape models in total, i.e., the average model, plus six models for both the first and second principal modes. For a given loading, the contact and fluid pressures varied substantially within these mathematically produced models but compared reasonably well to that of three subject-specific models that were constructed from individual knees, representing approximately the smallest, median and largest knees of the 31 right knees. While the joint size variation, generally represented by the first principal component, predominantly influenced the magnitudes of contact and fluid pressures, the joint shape variation characterized by the second principal component further affected the pressure distribution, and load sharing between the lateral and medial compartments. The present study evaluated a workflow for the statistical shape modeling of poromechanical behavior of knee joints with sample results based on a small population. However, the workflow can be readily used for a large population to address the challenge of interpatient variability in joint contact mechanics, particularly in contact and fluid pressures in articular cartilage, and variable creep behaviors of the joint associated with individual anatomical variations.

Indexed as

Knee JointModels, BiologicalModels, StatisticalAdultBiomechanical PhenomenaFinite Element AnalysisHumansMagnetic Resonance ImagingMaleContact mechanicsCreep responseFinite element analysisKnee jointShape model

Identifiers

PMID39565444

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