Modeling the effect of osseointegration on dental implant pullout and torque removal tests

Rittel, D.; Dorogoy, A.; Shemtov‐Yona, Keren

doi:10.1111/cid.12645

Cited by 28 publications

(33 citation statements)

References 28 publications

(47 reference statements)

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“…In a recent study, the FE-analysis of a three-dimensional model regarding the alteration of mechanical and prosthodontic components of dental implants gave insight into the highly debated discrepancy between implant survival and clinical success [ 15 ]. Moreover, FE-analysis allows the evaluation of biomechanical stress distribution in the stomatognathic system [ 16 ] and may provide information simulating the outcome of destructive tests [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Finite Element Analysis and Biomechanical Testing to Analyze Fracture Displacement of Alveolar Ridge Splitting

Stricker

Widmer

Gueorguiev

et al. 2018

BioMed Research International

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The alveolar ridge splitting technique enables reconstruction of atrophied alveolar ridges prior implantation. However, in cases of severe atrophy, there is an unpredictable risk of fracturing the buccal lamella during the expansion. Currently, there is no preoperative assessment to predict the maximum distraction of the lamella. The aim of this study was to develop a biomechanical model to mimic the alveolar ridge splitting and a finite element (FE) model to predict the experimental results. The biomechanical testing was conducted on porcine mandibles. To build the FE model high resolution peripheral quantitative computer tomography scans of one specimen was performed after the osteotomy outline, but before the lamella displacement. A servo-electric testing machine was used for the axial tension test to split the lamellae. Results showed, in line with clinical observations, that the lamellae broke primarily at the base of the splits with a median displacement of 1.27 mm. The FE model could predict fracture force and fracture displacement. Fracture force showed a nonlinear correlation with the height of the bone lamella. In conclusion, good correspondence between mechanical testing and virtual FE analysis showed a clinically relevant approach that may help to predict maximum lamella displacement to prevent fractures in the future.

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Section: Introductionmentioning

confidence: 99%

Finite Element Analysis and Biomechanical Testing to Analyze Fracture Displacement of Alveolar Ridge Splitting

Stricker

Widmer

Gueorguiev

et al. 2018

BioMed Research International

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“…First, we obtain some estimates on the density of osteoblasts. Then, we subtract Equation (10) at time t = t n and Equation (22) to obtain:…”

Section: Fully Discrete Approximations and An A Priori Error Analysismentioning

confidence: 99%

“…Once these densities and growth factors are calculated, the discrete density of osteoblasts at time t n , b hk n , is obtained from (22). This equation can be expressed in terms of the solution in the previous step, which is more convenient since the summation over all previous steps is avoided, resulting in:…”

Section: Fully Discrete Approximations and An A Priori Error Analysismentioning

confidence: 99%

Numerical Analysis of an Osseointegration Model

2020

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In this work, we study a bone remodeling model used to reproduce the phenomenon of osseointegration around endosseous implants. The biological problem is written in terms of the densities of platelets, osteogenic cells, and osteoblasts and the concentrations of two growth factors. Its variational formulation leads to a strongly coupled nonlinear system of parabolic variational equations. An existence and uniqueness result of this variational form is stated. Then, a fully discrete approximation of the problem is introduced by using the finite element method and a semi-implicit Euler scheme. A priori error estimates are obtained, and the linear convergence of the algorithm is derived under some suitable regularity conditions and tested with a numerical example. Finally, oneand two-dimensional numerical results are presented to demonstrate the accuracy of the algorithm and the behavior of the solution.

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“…The chemical methods are by using acids or alkali solutions to change the surface roughness and to induce the wettability of the surface (li et al, 2002;Zareidoost et al, 2012;Al-radha and Al-radha, 2016). Another method is the physical treatment such as plasma or thermal spray (Wang, Khor and Cheang, 1998;lavos-Valereto et al, 2001;roy, bandyopadhyay and bose, 2011;robotti and Zappini, 2019). Additionally, ion implantation (De maeztu, Alava and gay-escoda, 2003;De maeztu et al, 2007;Su et al, 2017), laser treatment (lacefield, 1998;Hindy, farahmand and Tabatabaei, 2017) and sputtering (lacefield, 1998; rigo et al, 2004; yokota et al, 2014) are also sort for coating surfaces.…”

Section: The Shift Towards Newer Biomaterials Coatingsmentioning

confidence: 99%

Bone Bonding of Hafnium – A Literature Review

Rajaraman¹

2020

Biosci. Biotech. Res. Comm

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Numerous biomaterials have been constantly researched upon for dental implants. We wanted to evaluate alternative elements that may have the potential to offer equivalent or superior osseointegration. One such element of interest is Hafnium. In the periodic table by IUPAC, tantalum belongs to period 6 (d block) of periodic table. Hafnium belongs to the same period and block as tantalum, in the periodic table. Various in vitro studies were conducted on hafnium metal. Studies have reported that hafnium has a similar response in soft and hard tissues in two different animal species (rat and rabbit), which suggests that hafnium might be an interesting material for biomedical applications. This review aims at analysing the existing literature on hafnium as potential implant biomaterial.

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Modeling the effect of osseointegration on dental implant pullout and torque removal tests

Cited by 28 publications

References 28 publications

Finite Element Analysis and Biomechanical Testing to Analyze Fracture Displacement of Alveolar Ridge Splitting

Finite Element Analysis and Biomechanical Testing to Analyze Fracture Displacement of Alveolar Ridge Splitting

Numerical Analysis of an Osseointegration Model

Bone Bonding of Hafnium – A Literature Review

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