Article ; Online: A comparison of brain retraction mechanisms using finite element analysis and the effects of regionally heterogeneous material properties.
Biomechanics and modeling in mechanobiology
2024 Volume 23, Issue 3, Page(s) 793–808
Abstract: Finite element (FE) simulations of the brain undergoing neurosurgical procedures present us with the great opportunity to better investigate, understand, and optimize surgical techniques and equipment. FE models provide access to data such as the stress ... ...
Abstract | Finite element (FE) simulations of the brain undergoing neurosurgical procedures present us with the great opportunity to better investigate, understand, and optimize surgical techniques and equipment. FE models provide access to data such as the stress levels within the brain that would otherwise be inaccessible with the current medical technology. Brain retraction is often a dangerous but necessary part of neurosurgery, and current research focuses on minimizing trauma during the procedure. In this work, we present a simulation-based comparison of different types of retraction mechanisms. We focus on traditional spatulas and tubular retractors. Our results show that tubular retractors result in lower average predicted stresses, especially in the subcortical structures and corpus callosum. Additionally, we show that changing the location of retraction can greatly affect the predicted stress results. As the model predictions highly depend on the material model and parameters used for simulations, we also investigate the importance of using region-specific hyperelastic and viscoelastic material parameters when modelling a three-dimensional human brain during retraction. Our investigations demonstrate how FE simulations in neurosurgical techniques can provide insight to surgeons and medical device manufacturers. They emphasize how further work into this direction could greatly improve the management and prevention of injury during surgery. Additionally, we show the importance of modelling the human brain with region-dependent parameters in order to provide useful predictions for neurosurgical procedures. |
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MeSH term(s) | Finite Element Analysis ; Humans ; Brain/physiology ; Stress, Mechanical ; Computer Simulation ; Elasticity ; Neurosurgical Procedures ; Models, Biological |
Language | English |
Publishing date | 2024-02-15 |
Publishing country | Germany |
Document type | Journal Article ; Comparative Study |
ZDB-ID | 2093052-5 |
ISSN | 1617-7940 ; 1617-7959 |
ISSN (online) | 1617-7940 |
ISSN | 1617-7959 |
DOI | 10.1007/s10237-023-01806-2 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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