Biomechanical performance of cranial implants with different thicknesses and material properties: A finite element study

Marcián, Petr; Narra, Nathaniel; Borák, Libor; Chamrad, Jakub; Wolff, Jan

doi:10.1016/j.compbiomed.2019.04.016

Cited by 34 publications

(40 citation statements)

References 34 publications

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“…Perren stated that bone anisotropy is not significant in ORIF, so it can be ignored when treating bone as a material [55]. The literature corroborates this, showing that using isotropic material properties for the bone is sufficient for analysis under simple loads [3,5,[23][24][25][26]28,30,54,56].…”

Section: Simplification Of the Geometry Characteristics Of The Bonementioning

confidence: 83%

“…The Poisson ratio is the same for almost all metals as for bone, and the literature shows that the preferred value for the Poisson ratio is ν = 0.3 [3,5,20,23,24,26,28,31,33,42,54,56,58]. Notwithstanding the agreement between studies, a few have proposed a "slightly" different Poisson's ratio around ν = 0.3 for bone tissues.…”

Section: From Reality To 3d Model: Mechanical Properties Assignmentmentioning

confidence: 88%

“…Nevertheless, discrepancies exist between studies due to the lack of standards for the characterization of the bone model, including in proximal humerus studies. Each researcher uses different bone material properties and natures; for instance, there are studies were the orthotropic nature is preferred for the bone [20,21], while others use the isotropic nature [3,5,[22][23][24][25][26][27][28], even when anisotropy is the actual nature of bone tissues. The research papers also differ in their modeling technique.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Trends in the Characterization of the Proximal Humerus in Biomechanical Studies: A Review

Castro-Franco¹,

Mendoza-Muñoz²,

González-Ángeles³

et al. 2020

Applied Sciences

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Proximal humerus fractures are becoming more common due to the aging of the population, and more related scientific research is also emerging. Biomechanical studies attempt to optimize treatments, taking into consideration the factors involved, to obtain the best possible treatment scenario. To achieve this, the use of finite element analysis (FEA) is necessary, to experiment with situations that are difficult to replicate, and which are sometimes unethical. Furthermore, low costs and time requirements make FEA the perfect choice for biomechanical studies. Part of the complete process of an FEA involves three-dimensional (3D) bone modeling, mechanical properties assignment, and meshing the bone model to be analyzed. Due to the lack of standardization for bone modeling, properties assignment, and the meshing processes, this article aims to review the most widely used techniques to model the proximal humerus bone, according to its anatomy, for FEA. This study also seeks to understand the knowledge and bias behind mechanical properties assignment for bone, and the similarities/differences in mesh properties used in previous FEA studies of the proximal humerus. The best ways to achieve these processes, according to the evidence, will be analyzed and discussed, seeking to obtain the most accurate results for FEA simulations.

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Section: Simplification Of the Geometry Characteristics Of The Bonementioning

confidence: 83%

Section: From Reality To 3d Model: Mechanical Properties Assignmentmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Trends in the Characterization of the Proximal Humerus in Biomechanical Studies: A Review

Castro-Franco¹,

Mendoza-Muñoz²,

González-Ángeles³

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…This variance of input data may influence the character of the deformation and consequently, the stresses evaluated as a potential indicator of plaque vulnerability. Similarly to another biomechanical study [29], DoE with 95% confidence level was applied for this statistical analysis; specifically the CCD was chosen, to analyse (using Minitab 15 statistical software) the possible non-linear dependence of PCS on some of the five selected factors. This resulted in overall 100 computational models for the two patients, differing in their material and geometrical factors; these models afforded the input data for statistical analysis.…”

Section: The Investigated Factors and Their Statistical Analysismentioning

confidence: 99%

Consideration of stiffness of wall layers is decisive for patient-specific analysis of carotid artery with atheroma

et al. 2020

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The paper deals with the impact of chosen geometric and material factors on maximal stresses in carotid atherosclerotic plaque calculated using patient-specific finite element models. These stresses are believed to be decisive for the plaque vulnerability but all applied models suffer from inaccuracy of input data, especially when obtained in vivo only. One hundred computational models based on ex vivo MRI are used to investigate the impact of wall thickness, MRI slice thickness, lipid core and fibrous tissue stiffness, and media anisotropy on the calculated peak plaque and peak cap stresses. The investigated factors are taken as continuous in the range based on published experimental results, only the impact of anisotropy is evaluated by comparison with a corresponding isotropic model. Design of Experiment concept is applied to assess the statistical significance of these investigated factors representing uncertainties in the input data of the model. The results show that consideration of realistic properties of arterial wall in the model is decisive for the stress evaluation; assignment of properties of fibrous tissue even to media and adventitia layers as done in some studies may induce up to eightfold overestimation of peak stress. The impact of MRI slice thickness may play a key role when local thin fibrous cap is present. Anisotropy of media layer is insignificant, and the stiffness of fibrous tissue and lipid core may become significant in some combinations.

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“…These models have been used in several fields, from the study of sports trauma to traffic accident reconstruction and forensic research [ 15 , 16 , 17 , 18 , 19 ]. FE models of the skull have also been used in the study of cranioplasty implant systems for the human skull [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Computational Modeling of Skull Bone Structures and Simulation of Skull Fractures Using the YEAHM Head Model

Barbosa

Fernandes

Sousa

et al. 2020

Biology

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The human head is a complex multi-layered structure of hard and soft tissues, governed by complex materials laws and interactions. Computational models of the human head have been developed over the years, reaching high levels of detail, complexity, and precision. However, most of the attention has been devoted to the brain and other intracranial structures. The skull, despite playing a major role in direct head impacts, is often overlooked and simplified. In this work, a new skull model is developed for the authors’ head model, the YEAHM, based on the original outer geometry, but segmenting it with sutures, diploë, and cortical bone, having variable thickness across different head sections and based on medical craniometric data. These structures are modeled with constitutive models that consider the non-linear behavior of skull bones and also the nature of their failure. Several validations are performed, comparing the simulation results with experimental results available in the literature at several levels: (i) local material validation; (ii) blunt trauma from direct impact against stationary skull; (iii) three impacts at different velocities simulating falls; (iv) blunt ballistic temporoparietal head impacts. Accelerations, impact forces, and fracture patterns are used to validate the skull model.

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Biomechanical performance of cranial implants with different thicknesses and material properties: A finite element study

Cited by 34 publications

References 34 publications

Trends in the Characterization of the Proximal Humerus in Biomechanical Studies: A Review

Trends in the Characterization of the Proximal Humerus in Biomechanical Studies: A Review

Consideration of stiffness of wall layers is decisive for patient-specific analysis of carotid artery with atheroma

Computational Modeling of Skull Bone Structures and Simulation of Skull Fractures Using the YEAHM Head Model

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