ArticleBiomechanics and modeling in mechanobiology2023
Subject-specific tribo-contact conditions in total knee replacements: a simulation framework across scales.
Article in Biomechanics and modeling in mechanobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Gait-to-Contact (G2C): A Novel Deep Learning Framework to Predict Total Knee Replacement Wear from Gait Patterns.Annals of biomedical engineering · 2026Article
- A review of finite element modeling and surgical simulation of meniscal tear in knee joint: progress and challenges.Frontiers in medicine · 2025Review
- [Tribology in arthroplasty : Friction and wear, a key to a long lifetime].Orthopadie (Heidelberg, Germany) · 2024Review
- Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics.Frontiers in bioengineering and biotechnology · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
Fundamental knowledge about in vivo kinematics and contact conditions at the articulating interfaces of total knee replacements are essential for predicting and optimizing their behavior and durability. However, the prevailing motions and contact stresses in total knee replacements cannot be precisely determined using conventional in vivo measurement methods. In silico modeling, in turn, allows for a prediction of the loads, velocities, deformations, stress, and lubrication conditions across the scales during gait. Within the scope of this paper, we therefore combine musculoskeletal modeling with tribo-contact modeling. In the first step, we compute contact forces and sliding velocities by means of inverse dynamics approach and force-dependent kinematic solver based upon experimental gait data, revealing contact forces during healthy/physiological gait of young subjects. In a second step, the derived data are employed as input data for an elastohydrodynamic model based upon the finite element method full-system approach taking into account elastic deformation, the synovial fluid's hydrodynamics as well as mixed lubrication to predict and discuss the subject-specific pressure and lubrication conditions.
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Registered trials
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.