Analysis of bone–implant interaction phenomena by using a numerical approach

Natali, Arturo N.; Pavan, Piero G.; Ruggero, Andrea L.

doi:10.1111/j.1600-0501.2005.01162.x

Cited by 87 publications

(61 citation statements)

References 33 publications

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“…In this study, the difference in the concentration observed between the microthread and smooth models may act as a bone stimulus [30], since the bone strength acts as a physiological limit. Local overloading in cortical bone occurs in compression when the maximum compressive principal stress exceeds 170-190 MPa in modulus, and in tension when the maximum tensile principal stress exceeds 100-130 MPa [28,32]. In the present study, these stresses were up to 54.6 MPa in compression and 55 MPa in tension.…”

Section: Discussionmentioning

confidence: 68%

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Influence of microthreads and platform switching on stress distribution in bone using angled abutments

Ferraz

Anchieta

Almeida

et al. 2012

Journal of Prosthodontic Research

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Purpose: To evaluate the stress distribution in peri-implant bone by simulating the effect of an implant with microthreads and platform switching on angled abutments through tridimensional finite element analysis. The postulated hypothesis was that the presence of microthreads and platform switching would reduce the stress concentration in the cortical bone. Methods: Four mathematical models of a central incisor supported by an implant (5.0 mm Â 13 mm) were created in which the type of thread surface in the neck portion (microthreaded or smooth) and the diameter of the angled abutment connection (5.0 and 4.1 mm) were varied. These models included the RM (regular platform and microthreads), the RS (regular platform and smooth neck surface), the SM (platform switching and microthreads), and the SS (platform switching and smooth neck). The analysis was performed using ANSYS Workbench 10.0 (Swanson Analysis System). An oblique load (100 N) was applied to the palatine surface of the central incisor. The bone/implant interface was considered to be perfectly integrated. Values for the maximum (s max ) and minimum (s min ) principal stress, the equivalent von Mises stress (s vM ), and the maximum principal elastic strain (e max ) for cortical and trabecular bone were obtained. Results: For the cortical bone, the highest s max (MPa) were observed for the RM (55.1), the RS (51.0), the SM (49.5), and the SS (44.8) models. The highest s vM (MPa) were found for the RM (45.4), the SM (42.1), the RS (38.7), and the SS models (37). The highest values for s min were found for the RM, SM, RS and SS models. For the trabecular bone, the highest s max values (MPa) were observed in the RS model (6.55), followed by the RM (6.37), SS (5.6), and SM (5.2) models. Conclusion: The hypothesis that the presence of microthreads and a switching platform would reduce the stress concentration in the cortical bone was partially rejected, mainly because the microthreads increased the stress concentration in cortical bone. Only platform switching reduced the stress in cortical bone.

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Section: Discussionmentioning

confidence: 68%

“…Excessive occlusal stress can cause bone resorption or even failure of the implant-bone interface, whereas lack of stress may lead to atrophy or even bone loss [22,32].…”

Section: Discussionmentioning

confidence: 99%

Influence of microthreads and platform switching on stress distribution in bone using angled abutments

Ferraz

Anchieta

Almeida

et al. 2012

Journal of Prosthodontic Research

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“…In the threaded case, 543,116 elements have been required to mesh the implant, 24,640,780 for the cortical bone and 6,272,640 for the trabecular one. 9 The substantial number of elements required to model the threaded implant is significantly higher than that of the smooth implant. This is due to the difficulty of taking the threads into Concerning the smooth configuration, an axial load of 160 N, currently adopted to simulate a classical mastication load [45], is applied with a pressure of 10 MPa on a surface of 16 mm².…”

Section: Characteristics Of the Simulationsmentioning

confidence: 99%

“…A considerable number of experimental and numerical studies have been carried out to understand the mechanism of the load transfer from the implants to the bones [9][10][11][12][13][14][15][16]. A geometric influence has been demonstrated.…”

Section: Introductionmentioning

confidence: 99%

“…Load transfer between an implant and the surrounding bone has recently been intensively studied using Finite Element Modelling [8]. Several parameters related to the implant have to be considered, such as geometry, loading, the interaction between the implant and the cortical bone, and material properties.A considerable number of experimental and numerical studies have been carried out to understand the mechanism of the load transfer from the implants to the bones [9][10][11][12][13][14][15][16]. A geometric influence has been demonstrated.…”

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confidence: 99%

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Interaction of bone–dental implant with new ultra low modulus alloy using a numerical approach

Piotrowski

Baptista²,

Patoor

et al. 2014

Materials Science and Engineering: C

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Although mechanical stress is known as being a significant factor in bone remodeling, most implants are still made using materials that have a higher elastic stiffness than that of bones.Load transfer between the implant and the surrounding bones is much detrimental, and osteoporosis is often a consequence of such mechanical mismatch. The concept of mechanical biocompatibility has now been considered for more than a decade. However, it is limited by the choice of materials, mainly Ti-based alloys whose elastic properties are still too far from cortical bone. We have suggested using a bulk material in relation with the development of a new beta titanium-based alloy. Titanium is a much suitable biocompatible metal, and betatitanium alloys such as metastable TiNb exhibit a very low apparent elastic modulus related to the presence of an orthorhombic martensite. The purpose of the present work has been to investigate the interaction that occurs between the dental implants and the cortical bone. 3D finite element models have been adopted to analyze the behaviour of the bone-implant system depending on the elastic properties of the implant, different types of implant geometry, friction force, and loading condition. The geometry of the bone has been adopted from a mandibular incisor and the surrounding bone. Occlusal static forces have been applied to the implants, and their effects on the bone-metal implant interface region have been assessed and 2 compared with a cortical bone/ bone implant configuration. This work has shown that the low modulus implant induces a stress distribution closer to the actual physiological phenomenon, together with a better stress jump along the bone implant interface, regardless of the implant design.Keywords: Dental biomechanics, Beta titanium alloy, Low modulus implant, Numerical modelling, Bone-implant interface IntroductionOver the last few decades, considerable progress in dental implantology has been made, with success rates exceeding 95% [1]. Implant stability is commonly considered as playing a major role in a successful osseointegration. Obtaining post-operative osseointegration is necessary in order to establish a solid and durable connection between the implant and the osseous structure. In agreement with the Wolff law, a process of osseous remodelling adapted to the stress level occurs after implantation [2][3][4]. This process is controlled by mechanical loads.When the occlusal forces induced on the bone exceed a physiological level, bone resorption can occur, with possible failure [5]. More importantly, the long-term performance of an implant is known to be strongly dependent on the bone tissue interaction [6]. The strain state which takes place at the interface between the bone and implant controls the bone tissue remodelling mechanisms [7]. Bone resorption is associated with a low strain state, and bone necrosis occurs when strain exceeds the maximum level.Evaluation of the risk requires a comprehension of the load transfer along the bone-dental implant interface. T...

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Functional apparent moduli as predictors of oral implant osseointegration dynamics

et al. 2010

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At present, limited functional data exists regarding the application and use of biomechanical and imaging technologies for oral implant osseointegration assessment. The objective of this investigation was to determine the functional apparent moduli (FAMs) that could predict the dynamics of oral implant osseointegration. Using an in vivo dental implant osseous healing model, two FAMs, functional bone apparent modulus (FBAM) and composite tissue apparent modulus (FCAM), of the selected peri-implant structures were calculated via microcomputed tomography (micro-CT) and finite element (FE) simulations in order to support this concept. Results showed significant sensitivity between FAMs and micro-CT parameters, especially between bone mineral density and FBAM, while at extraction defect sites the strongest correlations existed between bone-implant contact and FCAM. Significant enhancement of FCAM indicated progressive functional repair during early osseointegration. Further, the resultant interfacial resistance was predicted by bone mineral content (BMC) and FBAM within a ~200 μm peri-implant thickness, while the extraction defects gave zones of ~575 μm and 200 μm for BMC and FCAM, respectively. These results suggest that the function of dental implant support can be predicted from a peri-implant structural zone. We conclude that FAMs can be used to predict the dynamics of dental implant osseointegration in vivo.

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Analysis of bone–implant interaction phenomena by using a numerical approach

Cited by 87 publications

References 33 publications

Influence of microthreads and platform switching on stress distribution in bone using angled abutments

Influence of microthreads and platform switching on stress distribution in bone using angled abutments

Interaction of bone–dental implant with new ultra low modulus alloy using a numerical approach

Functional apparent moduli as predictors of oral implant osseointegration dynamics

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