Functional apparent moduli as predictors of oral implant osseointegration dynamics

Chang, Ping-Chuan; Seol, Yang‐Jo; Kikuchi, Noboru; Goldstein, Steven A.; Giannobile, William V.

doi:10.1002/jbm.b.31631

Cited by 9 publications

(8 citation statements)

References 34 publications

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“…Concurrent with implant placement, M1 teeth on the contralateral side of the maxillae were extracted. In previous studies, ≈60% bone defect fill and 35% bone–implant contact were seen 14 days after implant placement 24,25 . To determine the gene expression profiles at early and late stages of healing, but prevent significant tissue damage while removing the implants, day 14 was selected as an endpoint.…”

Section: Methodsmentioning

confidence: 99%

Gene Expression Dynamics During Bone Healing and Osseointegration

Zhao

Ríos

Volk

et al. 2011

Journal of Periodontology

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Background Understanding the molecular features of bone repair and osseointegration may aid in the development of therapeutics to improve implant outcomes. The purpose of this investigation is to determine the gene expression dynamics during alveolar bone repair and implant osseointegration. Methods An implant osseointegration preclinical animal model was used whereby maxillary defects were created at the time of oral implant placement, while a tooth extraction socket healing model was established on the contralateral side of each animal. The surrounding tissues in the zone of the healing defects were harvested during regeneration for temporal evaluation using histology, immunohistochemistry, laser capture microdissection, and quantitative reverse transcription–polymerase chain reaction for the identification of a panel of 17 putative genes associated with wound repair. Results In both models, three distinct expression patterns were displayed: 1) genes that are slowly increased during the healing process, such as bone morphogenetic protein 4, runt-related transcription factor 2, and osteocalcin; 2) genes that are upregulated at the early stage of healing and then downregulated at later stages, such as interleukin and chemokine (C-X-C motif) ligands 2 and 5; and 3) genes that are constitutively expressed over time, such as scleraxis. Although some similarities between osseointegration and tooth extraction socket were seen, distinct features developed and triggered a characteristic coordinated expression and orchestration of transcription factors, growth factors, extracellular matrix molecules, and chemokines. Conclusions Characterization of these events contributes to a better understanding of cooperative molecular dynamics in alveolar bone healing, and highlights potential pathways that could be further explored for the enhancement of osseous regenerative strategies.

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Section: Methodsmentioning

confidence: 99%

Gene Expression Dynamics During Bone Healing and Osseointegration

Zhao

Ríos

Volk

et al. 2011

Journal of Periodontology

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“…Because the removal process may damage the interfacial tissues, in a previous study the authors had demonstrated no radiographically detectable tissue deformation of cylindric mini-implants via FE analysis. 20 Therefore, the correlation coefficient from the functionally relevant peri-implant layer tended to be lower in the OA defects (Fig 5), and evaluation from the osseous defect area demonstrated significantly lower correlation to the original area after eliminating the artifact-affected area at day 10, especially for BV and FCAM (Table 1). One explanation is that the new bone or woven bone near the interfacial area does not provide strong fixation.…”

Section: Discussionmentioning

confidence: 95%

“…FAM, optimized from simulated loading on the dental implant, 20 could be more clinically relevant than any individual structural parameter, and the value of FAM would not change significantly with an increase in the cumulative peri-implant layer. Thus, the correlation coefficient between FAM and interfacial stiffness reveals the efficiency of the functionally relevant peri-implant layers.…”

Section: Discussionmentioning

confidence: 99%

“…20 Two axisymmetric FE models were established (Figs 3a to 3d) from the same micro-CT image, and both received an identical simulated load from the dental implant for each integrated parameter. In the microscopic model, the spatial information and local elasticity of the entire peri-implant structure were projected and calculated from the micro-CT based on an algorithm provided by Keller 23 ; in the optimizing model, the concentric peri-implant tissue of interest was assumed to be homogenous and the functional elasticity was determined from the numeric optimization process of the microscopic model.…”

Section: Methodsmentioning

confidence: 99%

“…Thus, the present authors developed functional apparent moduli (FAM) to serve as the effective stiffness of the peri-implant tissue by incorporation of three-dimensional structures from micro-CT and applied a simulated oral functional load on the oral implants. 20 FAM was calculated through the numeric converging of finite element (FE) optimization processes, and it was previously demonstrated that FAM was more strongly correlated to interfacial stiffness (IS) and implant removal torque than any structural parameter. FAM was also correlated to the growth patterns and represented the biomechanical function of peri-implant tissue during tissue-implant integration.…”

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Determination of the Dynamics of Healing at the Tissue-Implant Interface by Means of Microcomputed Tomography and Functional Apparent Moduli

Chang

Seol²,

Goldstein³

et al. 2013

JOMI

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Purpose It is currently a challenge to determine the biomechanical properties of the hard tissue–dental implant interface. Recent advances in intraoral imaging and tomographic methods, such as microcomputed tomography (micro-CT), provide three-dimensional details, offering significant potential to evaluate the bone-implant interface, but yield limited information regarding osseointegration because of physical scattering effects emanating from metallic implant surfaces. In the present study, it was hypothesized that functional apparent moduli (FAM), generated from functional incorporation of the peri-implant structure, would eliminate the radiographic artifact–affected layer and serve as a feasible means to evaluate the biomechanical dynamics of tissue-implant integration in vivo. Materials and Methods Cylindric titanium mini-implants were placed in osteotomies and osteotomies with defects in rodent maxillae. The layers affected by radiographic artifacts were identified, and the pattern of tissue-implant integration was evaluated from histology and micro-CT images over a 21-day observation period. Analyses of structural information, FAM, and the relationship between FAM and interfacial stiffness (IS) were done before and after eliminating artifacts. Results Physical artifacts were present within a zone of about 100 to 150 μm around the implant in both experimental defect situations (osteotomy alone and osteotomy + defect). All correlations were evaluated before and after eliminating the artifact-affected layers, most notably during the maturation period of osseointegration. A strong correlation existed between functional bone apparent modulus and IS within 300 μm at the osteotomy defects (r > 0.9) and functional composite tissue apparent modulus in the osteotomy defects (r > 0.75). Conclusion Micro-CT imaging and FAM were of value in measuring the temporal process of tissue-implant integration in vivo. This approach will be useful to complement imaging technologies for longitudinal monitoring of osseointegration.

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Modeling the debonding process of osseointegrated implants due to coupled adhesion and friction

Immel

Nguyen

Haïat

et al. 2022

Biomech Model Mechanobiol

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Cementless implants have become widely used for total hip replacement surgery. The long-term stability of these implants is achieved by bone growing around and into the rough surface of the implant, a process called osseointegration. However, debonding of the bone–implant interface can still occur due to aseptic implant loosening and insufficient osseointegration, which may have dramatic consequences. The aim of this work is to describe a new 3D finite element frictional contact formulation for the debonding of partially osseointegrated implants. The contact model is based on a modified Coulomb friction law by Immel et al. (2020), that takes into account the tangential debonding of the bone-implant interface. This model is extended in the direction normal to the bone-implant interface by considering a cohesive zone model, to account for adhesion phenomena in the normal direction and for adhesive friction of partially bonded interfaces. The model is applied to simulate the debonding of an acetabular cup implant. The influence of partial osseointegration and adhesive effects on the long-term stability of the implant is assessed. The influence of different patient- and implant-specific parameters such as the friction coefficient $$\mu _\text {b}$$ μ b , the trabecular Young’s modulus $$E_\text {b}$$ E b , and the interference fit $$I\!F$$ I F is also analyzed, in order to determine the optimal stability for different configurations. Furthermore, this work provides guidelines for future experimental and computational studies that are necessary for further parameter calibration.

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Functional apparent moduli as predictors of oral implant osseointegration dynamics

Cited by 9 publications

References 34 publications

Gene Expression Dynamics During Bone Healing and Osseointegration

Gene Expression Dynamics During Bone Healing and Osseointegration

Determination of the Dynamics of Healing at the Tissue-Implant Interface by Means of Microcomputed Tomography and Functional Apparent Moduli

Modeling the debonding process of osseointegrated implants due to coupled adhesion and friction

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