Patient-Specific Modelling for Preoperative Estimation of Hip Mechanics for Improved Planning of Total Hip Endoprosthesis Using Multibody Simulations

Leher I, Fleischmann C, Scherb D, Kollerer M, Miehling J, Wartzack S, Sesselmann S (2021)


Publication Type: Conference contribution, Original article

Publication year: 2021

Original Authors: Irina Leher, Christopher Fleischmann, David Scherb, Marius Kollerer, Jörg Miehling, Sandro Wartzack, Stefan Sesselmann

Pages Range: 1088-1096

Event location: Paris FR

DOI: 10.1007/978-3-030-85540-6_140

Abstract

The increasing number of total hip arthroplasty and the demographic change lead to a rise in the number of revision surgeries. Implementation of musculoskeletal models in surgical planning could improve quality of life after revision surgery, due to the consideration of the individual patient’s biomechanical conditions. In multibody simulation, a distinction is made in the degree of individualization between the anthropometric and patient-specific scaling of musculoskeletal models. In this study, the differences in moment arm length, hip joint reaction force, muscle activation and forces between these two musculoskeletal models were analyzed. Due to high influences of individualized anatomical parameters on simulation results, it is recommended to consider patient-specific biomechanics for future total hip arthroplasty planning.

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APA:

Leher, I., Fleischmann, C., Scherb, D., Kollerer, M., Miehling, J., Wartzack, S., & Sesselmann, S. (2021). Patient-Specific Modelling for Preoperative Estimation of Hip Mechanics for Improved Planning of Total Hip Endoprosthesis Using Multibody Simulations. In Proceedings of the International Conference on Emerging Technologies and Future Systems V (pp. 1088-1096). Paris, FR.

MLA:

Leher, Irina, et al. "Patient-Specific Modelling for Preoperative Estimation of Hip Mechanics for Improved Planning of Total Hip Endoprosthesis Using Multibody Simulations." Proceedings of the International Conference on Emerging Technologies and Future Systems V, Paris 2021. 1088-1096.

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