Voxel-based micro-finite element analysis of dental implants in a human cadaveric mandible: Tissue modulus assignment and sensitivity analyses

Mao, Qiyuan; Su, Kangning; Zhou, Yuxiao; Hossaini-Zadeh, Mehran; Lewis, Gregory S.; Du, Jinglei

doi:10.1016/j.jmbbm.2019.03.008

Cited by 22 publications

(8 citation statements)

References 45 publications

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“…Furthermore, parameters related to the construction of the model reported heterogeneity, which could be associated with the evolution of technologies. The development of tomography has been sped up since the last decades, and this imaging procedure is now reported as being one of the most relevant techniques for recording accurate volumes in dentistry [ 9 , 13 , 15 ], thus defining a precise FE model [ 46 ]. Interestingly, the number of elements seems to have increased progressively in function of the rise in computing capacity, but it is of note that under half of the studies reported to have used a convergence test.…”

Section: Discussionmentioning

confidence: 99%

Validated Finite Element Models of Premolars: A Scoping Review

et al. 2020

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Finite element (FE) models are widely used to investigate the biomechanics of reconstructed premolars. However, parameter identification is a complex step because experimental validation cannot always be conducted. The aim of this study was to collect the experimentally validated FE models of premolars, extract their parameters, and discuss trends. A systematic review was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Records were identified in three electronic databases (MEDLINE [PubMed], Scopus, The Cochrane Library) by two independent reviewers. Twenty-seven parameters dealing with failure criteria, model construction, material laws, boundary conditions, and model validation were extracted from the included articles. From 1306 records, 214 were selected for eligibility and entirely read. Among them, 19 studies were included. A heterogeneity was observed for several parameters associated with failure criteria and model construction. Elasticity, linearity, and isotropy were more often chosen for dental and periodontal tissues with a Young’s modulus mostly set at 18–18.6 GPa for dentine. Loading was mainly simulated by an axial force, and FE models were mostly validated by in vitro tests evaluating tooth strains, but different conditions about experiment type, sample size, and tooth status (intact or restored) were reported. In conclusion, material laws identified herein could be applied to future premolar FE models. However, further investigations such as sensitivity analysis are required for several parameters to clarify their indication.

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Section: Discussionmentioning

confidence: 99%

Validated Finite Element Models of Premolars: A Scoping Review

et al. 2020

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“…Finite element (FE) models have been widely used to model the implant biomechanical behavior at the organ scale in the context of primary and secondary stability, but often the BII is modeled as a perfect interface, i.e., continuity of stresses and displacements at the interface [19]. In particular in the context of dental implantology, microfinite element analyses were applied to images obtained using X-ray micro-computed tomography [20, 21], which allowed to assess the strain and stress field around the implant. However, the BII was often considered as fully bonded.…”

Section: Introductionmentioning

confidence: 99%

Micromechanical modeling of the contact stiffness of an osseointegrated bone–implant interface

2019

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BackgroundThe surgical success of cementless implants is determined by the evolution of the biomechanical properties of the bone–implant interface (BII). One difficulty to model the biomechanical behavior of the BII comes from the implant surface roughness and from the partial contact between bone tissue and the implant. The determination of the constitutive law of the BII would be of interest in the context of implant finite element (FE) modeling to take into account the imperfect characteristics of the BII. The aim of the present study is to determine an effective contact stiffness of an osseointegrated BII accounting for its micromechanical features such as surface roughness, bone–implant contact ratio (BIC) and periprosthetic bone properties. To do so, a 2D FE model of the BII under normal contact conditions was developed and was used to determine the behavior of .ResultsThe model is validated by comparison with three analytical schemes based on micromechanical homogenization including two Lekesiz’s models (considering interacting and non-interacting micro-cracks) and a Kachanov’s model. is found to be comprised between 1013 and 1015 N/m3 according to the properties of the BII. is shown to increase nonlinearly as a function of the BIC and to decrease as a function of the roughness amplitude for high BIC values (above around 20%). Moreover, decreases as a function of the roughness wavelength and increases linearly as a function of the Young’s modulus of periprosthetic bone tissue.ConclusionsThese results open new paths in implant biomechanical modeling since this model may be used in future macroscopic finite element models modeling the bone–implant system to replace perfectly rigid BII conditions.

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“…Optical microscopy techniques are often used to observe biological tissues, but they consist in analysing two-dimensional sections. To improve such analysis, three-dimensional techniques have been developed such as X-ray μCT [148,149], which allows imaging of woven bone formation at a titanium interface at the microscale [150] for further finite-element analysis at the microscopic level [151].…”

Section: X-ray-based Techniquesmentioning

confidence: 99%

Biomechanical behaviours of the bone–implant interface: a review

Gao

Fraulob

Haïat

2019

J. R. Soc. Interface.

172

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In recent decades, cementless implants have been widely used in clinical practice to replace missing organs, to replace damaged or missing bone tissue or to restore joint functionality. However, there remain risks of failure which may have dramatic consequences. The success of an implant depends on its stability, which is determined by the biomechanical properties of the bone–implant interface (BII). The aim of this review article is to provide more insight on the current state of the art concerning the evolution of the biomechanical properties of the BII as a function of the implant's environment. The main characteristics of the BII and the determinants of implant stability are first introduced. Then, the different mechanical methods that have been employed to derive the macroscopic properties of the BII will be described. The experimental multi-modality approaches used to determine the microscopic biomechanical properties of periprosthetic newly formed bone tissue are also reviewed. Eventually, the influence of the implant's properties, in terms of both surface properties and biomaterials, is investigated. A better understanding of the phenomena occurring at the BII will lead to (i) medical devices that help surgeons to determine an implant's stability and (ii) an improvement in the quality of implants.

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Voxel-based micro-finite element analysis of dental implants in a human cadaveric mandible: Tissue modulus assignment and sensitivity analyses

Cited by 22 publications

References 45 publications

Validated Finite Element Models of Premolars: A Scoping Review

Validated Finite Element Models of Premolars: A Scoping Review

Micromechanical modeling of the contact stiffness of an osseointegrated bone–implant interface

Biomechanical behaviours of the bone–implant interface: a review

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