The Experts below are selected from a list of 4389 Experts worldwide ranked by ideXlab platform
Susan Gibbs - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of a novel oral mucosa in vitro implantation model for analysis of molecular interactions with Dental Abutment surfaces.
Clinical Implant Dentistry and Related Research, 2019Co-Authors: Sanne Roffel, Ivana Nedeljkovic, Tojo Razafiarison, Michael Meyer, Gang Wu, Susan GibbsAbstract:Background: Abutment surfaces are being designed to promote gingival soft tissue attachment and integration. This forms a seal around prosthetics and consequently ensures long-term implant survival. New scalable and reproducible models are necessary to evaluate and quantify the performance of these surfaces. Purpose: To evaluate a novel implantation model by histomorphometric and immunohistochemical characterization of the interactions between human oral gingival tissue and titanium Abutments with either novel anodized or conventional machined surface. Materials and Methods: Abutments were inserted into an organotypic reconstructed human gingiva (RHG) model consisting of differentiated gingival epithelium cells on a fibroblast populated lamina propria hydrogel following a tissue punch. Epithelial attachment, down-growth along the Abutment surface, and phenotype were assessed via histomorphology, scanning electron microscopy, and immunohistochemistry 10 days after implantation. Results: The down-growing epithelium transitioned from a gingival margin to a sulcular and junctional epithelium. The sulcus depth and junctional epithelial length were similar to previously reported pre-clinical and clinical lengths. A collagen IV/laminin 5 basement membrane formed between the epithelium and the underlying connective tissue. The RHG expanded in thickness approximately 2-fold at the Abutment surface. The model allowed the evaluation of protein expression of adhering soft tissue cells for both tested Abutments. Conclusions: The RHG model is the first in vitro 3D model to enable the assessment of not only human epithelial tissue attachment to Dental Abutments but also the expression of protein markers involved in soft tissue attachment and integration. The two Abutments showed no noticeable difference in epithelial attachment.
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Evaluation of a novel oral mucosa in vitro implantation model for analysis of molecular interactions with Dental Abutment surfaces.
Clinical implant dentistry and related research, 2019Co-Authors: Sanne Roffel, Ivana Nedeljkovic, Tojo Razafiarison, Michael Meyer, Susan GibbsAbstract:Abutment surfaces are being designed to promote gingival soft tissue attachment and integration. This forms a seal around prosthetics and consequently ensures long-term implant survival. New scalable and reproducible models are necessary to evaluate and quantify the performance of these surfaces. To evaluate a novel implantation model by histomorphometric and immunohistochemical characterization of the interactions between human oral gingival tissue and titanium Abutments with either novel anodized or conventional machined surface. Abutments were inserted into an organotypic reconstructed human gingiva (RHG) model consisting of differentiated gingival epithelium cells on a fibroblast populated lamina propria hydrogel following a tissue punch. Epithelial attachment, down-growth along the Abutment surface, and phenotype were assessed via histomorphology, scanning electron microscopy, and immunohistochemistry 10 days after implantation. The down-growing epithelium transitioned from a gingival margin to a sulcular and junctional epithelium. The sulcus depth and junctional epithelial length were similar to previously reported pre-clinical and clinical lengths. A collagen IV/laminin 5 basement membrane formed between the epithelium and the underlying connective tissue. The RHG expanded in thickness approximately 2-fold at the Abutment surface. The model allowed the evaluation of protein expression of adhering soft tissue cells for both tested Abutments. The RHG model is the first in vitro 3D model to enable the assessment of not only human epithelial tissue attachment to Dental Abutments but also the expression of protein markers involved in soft tissue attachment and integration. The two Abutments showed no noticeable difference in epithelial attachment. © 2019 The Authors. Clinical Implant Dentistry and Related Research Published by Wiley Periodicals, Inc.
Fang Qian - One of the best experts on this subject based on the ideXlab platform.
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in vitro analysis of post fatigue reverse torque values at the Dental Abutment implant interface for a unitarian Abutment design
Journal of Prosthodontics, 2011Co-Authors: Paul M. Cashman, Robert L. Schneider, Galen B. Schneider, Clark M. Stanford, James M.s. Clancy, Fang QianAbstract:Purpose: This study analyzed baseline and post-fatigue reverse-torque values (RTVs) for a specific brand control Abutment relative to a third party compatible Abutment. The purpose of this study was to compare the Abutments’ fatigue resistance to simulated function, using RTVs as an indication of residual preload at the implant/Abutment interface. Materials and Methods: Forty Straumann tissue-level implants were mounted in resin and divided into four groups (n = 10). Forty Abutments were seated, 20 control and 20 third-party Abutments, according to manufacturer guidelines. Ten Abutments from each manufacturer were evaluated for RTV without fatigue loading, using a calibrated digital torque gauge to provide a baseline RTVs. Fatigue loading was carried out on the remaining ten specimens from each manufacturer according to ISO 14801 guidelines. A moving-magnet linear motor was used to load one specimen per sequence, alternating from 10 to 200 N at 15 Hz for 5×106 cycles. RTV was recorded post-fatigue loading. The results were subjected to two-sample t-testing and two-way ANOVA. Scanning electron microphotography was carried out on three specimens from both manufacturers at baseline and post-fatigue cycling to visualize thread geometry and the Abutment/implant interface. Results: The data indicated that mean post-fatigue RTV observed for the control group was significantly higher than the third-party group (RTV 42.65 ± 6.70 N vs. 36.25 ± 2.63 N, p= 0.0161). Visual differences at the macro/microscopic level were also apparent for thread geometry, with third-party Abutments demonstrating considerably greater variation in geometrical architecture than control specimens. Conclusions: Within the limitations of this in vitro model, the effect of component manufacturer resulted in a significantly higher RTV in the control group (two-way ANOVA, p= 0.0032) indicating greater residual preload; however, there was no significant decrease in post-fatigue RTV for either manufacturer compared to baseline.
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In vitro analysis of post-fatigue reverse-torque values at the Dental Abutment/implant interface for a unitarian Abutment design.
Journal of prosthodontics : official journal of the American College of Prosthodontists, 2011Co-Authors: Paul M. Cashman, Robert L. Schneider, Galen B. Schneider, Clark M. Stanford, James M.s. Clancy, Fang QianAbstract:Purpose: This study analyzed baseline and post-fatigue reverse-torque values (RTVs) for a specific brand control Abutment relative to a third party compatible Abutment. The purpose of this study was to compare the Abutments’ fatigue resistance to simulated function, using RTVs as an indication of residual preload at the implant/Abutment interface. Materials and Methods: Forty Straumann tissue-level implants were mounted in resin and divided into four groups (n = 10). Forty Abutments were seated, 20 control and 20 third-party Abutments, according to manufacturer guidelines. Ten Abutments from each manufacturer were evaluated for RTV without fatigue loading, using a calibrated digital torque gauge to provide a baseline RTVs. Fatigue loading was carried out on the remaining ten specimens from each manufacturer according to ISO 14801 guidelines. A moving-magnet linear motor was used to load one specimen per sequence, alternating from 10 to 200 N at 15 Hz for 5×106 cycles. RTV was recorded post-fatigue loading. The results were subjected to two-sample t-testing and two-way ANOVA. Scanning electron microphotography was carried out on three specimens from both manufacturers at baseline and post-fatigue cycling to visualize thread geometry and the Abutment/implant interface. Results: The data indicated that mean post-fatigue RTV observed for the control group was significantly higher than the third-party group (RTV 42.65 ± 6.70 N vs. 36.25 ± 2.63 N, p= 0.0161). Visual differences at the macro/microscopic level were also apparent for thread geometry, with third-party Abutments demonstrating considerably greater variation in geometrical architecture than control specimens. Conclusions: Within the limitations of this in vitro model, the effect of component manufacturer resulted in a significantly higher RTV in the control group (two-way ANOVA, p= 0.0032) indicating greater residual preload; however, there was no significant decrease in post-fatigue RTV for either manufacturer compared to baseline.
Radovan Kovacevic - One of the best experts on this subject based on the ideXlab platform.
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fatigue properties of a Dental implant produced by electron beam melting ebm
Journal of Materials Processing Technology, 2015Co-Authors: M Jamshidinia, L Wang, W Tong, Raed Ajlouni, Radovan KovacevicAbstract:Abstract Fatigue properties of a Dental Abutment with a lattice structure were investigated. Electron Beam Melting® (EBM) was used to produce the Dental Abutments, made of Ti-6Al-4 V. Four levels of cyclic loads including 100 N, 200 N, 300 N, and 500 N were applied at 15 Hz by using a sinusoidal wave form, and the loading ratio of 10%. According to the experimental results of fatigue test, the Dental Abutment tolerated the five million cycles of loading at 100 N. Results of fractography suggested that the fatigue crack can be initiated from the partially sintered powder particles that were attached to the truss surface. The numerical results revealed the deleterious influence of sharp corners on lowering the fatigue life of the structure. The high level of surface roughness and the lower relative density of a lattice structure could affect its strain rate sensitivity and consequently lower the endurance limit of the lattice structure. The comparison of the experimental data and numerical modeling suggested that the more conservative Soderbrg relationship for the mean stress correction could be used for numerical modeling of fatigue in lattice structures produced by EBM®. Finally, a regression equation was developed from the experimental results that can be used to predict the fatigue life of the designed Dental Abutment.
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The bio-compatible Dental implant designed by using non-stochastic porosity produced by Electron Beam Melting® (EBM)
Journal of Materials Processing Technology, 2014Co-Authors: Jamshidinia, L Wang, W Tong, Radovan KovacevicAbstract:Abstract The application of non-stochastic lattice structures for building a bio-compatible Dental Abutment is investigated. The bio-compatible Dental implant should mimic the micro-motion of the natural tooth. Three different lattice structures including cross, honeycomb, and octahedral structures with different unit cell sizes were employed to produce lattice Abutment made of Ti–6Al–4V by Electron Beam Melting® (EBM). According to the results, by increasing the unit cell size, Abutments showed more deformation; however, the maximum tolerated normal force decreased. The octahedral lattice structure with 2 mm unit cell size showed the best mechanical behavior under 400 N normal biting force, and was selected to investigate the effect of biting force angle on the stress distribution developed in lattice Abutment. Numerical analysis showed that α = 30° is a critical biting force angle, for which the maximum equivalent stress increased noticeably.
Sanne Roffel - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of a novel oral mucosa in vitro implantation model for analysis of molecular interactions with Dental Abutment surfaces.
Clinical Implant Dentistry and Related Research, 2019Co-Authors: Sanne Roffel, Ivana Nedeljkovic, Tojo Razafiarison, Michael Meyer, Gang Wu, Susan GibbsAbstract:Background: Abutment surfaces are being designed to promote gingival soft tissue attachment and integration. This forms a seal around prosthetics and consequently ensures long-term implant survival. New scalable and reproducible models are necessary to evaluate and quantify the performance of these surfaces. Purpose: To evaluate a novel implantation model by histomorphometric and immunohistochemical characterization of the interactions between human oral gingival tissue and titanium Abutments with either novel anodized or conventional machined surface. Materials and Methods: Abutments were inserted into an organotypic reconstructed human gingiva (RHG) model consisting of differentiated gingival epithelium cells on a fibroblast populated lamina propria hydrogel following a tissue punch. Epithelial attachment, down-growth along the Abutment surface, and phenotype were assessed via histomorphology, scanning electron microscopy, and immunohistochemistry 10 days after implantation. Results: The down-growing epithelium transitioned from a gingival margin to a sulcular and junctional epithelium. The sulcus depth and junctional epithelial length were similar to previously reported pre-clinical and clinical lengths. A collagen IV/laminin 5 basement membrane formed between the epithelium and the underlying connective tissue. The RHG expanded in thickness approximately 2-fold at the Abutment surface. The model allowed the evaluation of protein expression of adhering soft tissue cells for both tested Abutments. Conclusions: The RHG model is the first in vitro 3D model to enable the assessment of not only human epithelial tissue attachment to Dental Abutments but also the expression of protein markers involved in soft tissue attachment and integration. The two Abutments showed no noticeable difference in epithelial attachment.
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Evaluation of a novel oral mucosa in vitro implantation model for analysis of molecular interactions with Dental Abutment surfaces.
Clinical implant dentistry and related research, 2019Co-Authors: Sanne Roffel, Ivana Nedeljkovic, Tojo Razafiarison, Michael Meyer, Susan GibbsAbstract:Abutment surfaces are being designed to promote gingival soft tissue attachment and integration. This forms a seal around prosthetics and consequently ensures long-term implant survival. New scalable and reproducible models are necessary to evaluate and quantify the performance of these surfaces. To evaluate a novel implantation model by histomorphometric and immunohistochemical characterization of the interactions between human oral gingival tissue and titanium Abutments with either novel anodized or conventional machined surface. Abutments were inserted into an organotypic reconstructed human gingiva (RHG) model consisting of differentiated gingival epithelium cells on a fibroblast populated lamina propria hydrogel following a tissue punch. Epithelial attachment, down-growth along the Abutment surface, and phenotype were assessed via histomorphology, scanning electron microscopy, and immunohistochemistry 10 days after implantation. The down-growing epithelium transitioned from a gingival margin to a sulcular and junctional epithelium. The sulcus depth and junctional epithelial length were similar to previously reported pre-clinical and clinical lengths. A collagen IV/laminin 5 basement membrane formed between the epithelium and the underlying connective tissue. The RHG expanded in thickness approximately 2-fold at the Abutment surface. The model allowed the evaluation of protein expression of adhering soft tissue cells for both tested Abutments. The RHG model is the first in vitro 3D model to enable the assessment of not only human epithelial tissue attachment to Dental Abutments but also the expression of protein markers involved in soft tissue attachment and integration. The two Abutments showed no noticeable difference in epithelial attachment. © 2019 The Authors. Clinical Implant Dentistry and Related Research Published by Wiley Periodicals, Inc.
Paul M. Cashman - One of the best experts on this subject based on the ideXlab platform.
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in vitro analysis of post fatigue reverse torque values at the Dental Abutment implant interface for a unitarian Abutment design
Journal of Prosthodontics, 2011Co-Authors: Paul M. Cashman, Robert L. Schneider, Galen B. Schneider, Clark M. Stanford, James M.s. Clancy, Fang QianAbstract:Purpose: This study analyzed baseline and post-fatigue reverse-torque values (RTVs) for a specific brand control Abutment relative to a third party compatible Abutment. The purpose of this study was to compare the Abutments’ fatigue resistance to simulated function, using RTVs as an indication of residual preload at the implant/Abutment interface. Materials and Methods: Forty Straumann tissue-level implants were mounted in resin and divided into four groups (n = 10). Forty Abutments were seated, 20 control and 20 third-party Abutments, according to manufacturer guidelines. Ten Abutments from each manufacturer were evaluated for RTV without fatigue loading, using a calibrated digital torque gauge to provide a baseline RTVs. Fatigue loading was carried out on the remaining ten specimens from each manufacturer according to ISO 14801 guidelines. A moving-magnet linear motor was used to load one specimen per sequence, alternating from 10 to 200 N at 15 Hz for 5×106 cycles. RTV was recorded post-fatigue loading. The results were subjected to two-sample t-testing and two-way ANOVA. Scanning electron microphotography was carried out on three specimens from both manufacturers at baseline and post-fatigue cycling to visualize thread geometry and the Abutment/implant interface. Results: The data indicated that mean post-fatigue RTV observed for the control group was significantly higher than the third-party group (RTV 42.65 ± 6.70 N vs. 36.25 ± 2.63 N, p= 0.0161). Visual differences at the macro/microscopic level were also apparent for thread geometry, with third-party Abutments demonstrating considerably greater variation in geometrical architecture than control specimens. Conclusions: Within the limitations of this in vitro model, the effect of component manufacturer resulted in a significantly higher RTV in the control group (two-way ANOVA, p= 0.0032) indicating greater residual preload; however, there was no significant decrease in post-fatigue RTV for either manufacturer compared to baseline.
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In vitro analysis of post-fatigue reverse-torque values at the Dental Abutment/implant interface for a unitarian Abutment design.
Journal of prosthodontics : official journal of the American College of Prosthodontists, 2011Co-Authors: Paul M. Cashman, Robert L. Schneider, Galen B. Schneider, Clark M. Stanford, James M.s. Clancy, Fang QianAbstract:Purpose: This study analyzed baseline and post-fatigue reverse-torque values (RTVs) for a specific brand control Abutment relative to a third party compatible Abutment. The purpose of this study was to compare the Abutments’ fatigue resistance to simulated function, using RTVs as an indication of residual preload at the implant/Abutment interface. Materials and Methods: Forty Straumann tissue-level implants were mounted in resin and divided into four groups (n = 10). Forty Abutments were seated, 20 control and 20 third-party Abutments, according to manufacturer guidelines. Ten Abutments from each manufacturer were evaluated for RTV without fatigue loading, using a calibrated digital torque gauge to provide a baseline RTVs. Fatigue loading was carried out on the remaining ten specimens from each manufacturer according to ISO 14801 guidelines. A moving-magnet linear motor was used to load one specimen per sequence, alternating from 10 to 200 N at 15 Hz for 5×106 cycles. RTV was recorded post-fatigue loading. The results were subjected to two-sample t-testing and two-way ANOVA. Scanning electron microphotography was carried out on three specimens from both manufacturers at baseline and post-fatigue cycling to visualize thread geometry and the Abutment/implant interface. Results: The data indicated that mean post-fatigue RTV observed for the control group was significantly higher than the third-party group (RTV 42.65 ± 6.70 N vs. 36.25 ± 2.63 N, p= 0.0161). Visual differences at the macro/microscopic level were also apparent for thread geometry, with third-party Abutments demonstrating considerably greater variation in geometrical architecture than control specimens. Conclusions: Within the limitations of this in vitro model, the effect of component manufacturer resulted in a significantly higher RTV in the control group (two-way ANOVA, p= 0.0032) indicating greater residual preload; however, there was no significant decrease in post-fatigue RTV for either manufacturer compared to baseline.