Experimental conical‐head abutment screws on the microbial leakage through the implant‐abutment interface: an <i>in vitro</i> analysis using target‐specific <scp>DNA</scp> probes

Pita, Murillo Sucena; Nascimento, Cássio do; Santos, Carla G. P. dos; Pires, Isabela M.; Pedrazzi, Vinícius

doi:10.1111/clr.12876

Cited by 14 publications

(12 citation statements)

References 35 publications

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“…Moreover, during mechanical loads, model B acts as a single body, reducing possible tilting forces that could create a gap between the structures of the connection, which is why it differs from the taper-locking model A. According to the literature, a conical-head internal screw prevents microbial leakage through the implant–abutment interface, ensuring a better seal [41]. One of the limitations of this study is that we focused exclusively on implant connections and, for this reason, the threaded parts of the system were neglected.…”

Section: Discussionmentioning

confidence: 99%

A Comparative 3D Finite Element Computational Study of Three Connections

Farronato

Manfredini²,

Stevanello

et al. 2019

Materials

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Masticatory overload on dental implants is one of the causes of marginal bone resorption. The implant–abutment connection (IAC) design plays a critical role in the quality of the stress distribution, and, over the years, different designs were proposed. This study aimed to assess the mechanical behavior of three different types of IAC using a finite element model (FEM) analysis. Three types of two-piece implants were designed: two internal conical connection designs (models A and B) and one internal flat-to-flat connection design (model C). This three-dimensional analysis evaluated the response to static forces on the three models. The strain map, stress analysis, and safety factor were assessed by means of the FEM examination. The FEM analysis indicated that forces are transmitted on the abutment and implant’s neck in model B. In models A and C, forces were distributed along the internal screw, abutment areas, and implant’s neck. The stress distribution in model B showed a more homogeneous pattern, such that the peak forces were reduced. The conical shape of the head of the internal screw in model B seems to have a keystone role in transferring the forces at the surrounding structures. Further experiments should be carried out in order to confirm the present suppositions.

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Section: Discussionmentioning

confidence: 99%

A Comparative 3D Finite Element Computational Study of Three Connections

Farronato

Manfredini²,

Stevanello

et al. 2019

Materials

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“…To date, there are no data that could show that the presence of these microorganisms in the inner part of the dental implants could increase or even cause peri-implant infection. Recent in vitro data [60][61][62][63][64] have shown that Morse taper connections improve the mechanical sealing on the implant-abutment junction, but none of the aforementioned studies depicted a sealed chamber in any connection (external, internal, or Morse taper).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Microbial Contamination in the Inner Surface of Titanium Implants Before Healing Abutment Connection: A Prospective Clinical Trial

Lucena¹,

Molon²,

Moretti³

et al. 2018

Int J Oral Maxillofac Implants

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The objective of this investigation was to assess the microbiologic contamination in the inner surface of titanium implants prior to prosthetic abutment placement. Materials and Methods: The study population consisted of partially edentulous individuals who had previously received at least one internal hexagon titanium dental implant. A bacterial sample of the inner surface of the individual dental implant was taken after surgical reopening for healing abutment placement. The samples were allocated in order to evaluate three distinctive variables as follows: (1) location (mandible vs maxilla), (2) early exposure of implants to the oral cavity (cover screw) throughout the healing stage (exposed vs not exposed), and (3) existence or lack of keratinized mucosa (KM). The microorganism species detected were examined by checkerboard DNA-DNA hybridization. Results: A total of 32 partially edentulous patients with 78 implants placed in both the maxilla and mandible were enrolled: 8 men and 24 women, ranging in age from 27 to 64 years (mean age: 47.7 years). Bacteria were detected in 20 patients, distributed in 41 implants. Spontaneous early implant exposure and absence of KM did not increase bacterial contamination in the inner surface of implants. A significant increase in the detection of 22 bacterial species was found in the mandible when compared with the maxilla. Conclusion: Microbial biofilm accumulation in the implant's internal surface might happen before healing abutment placement. Exposure of implants to the oral cavity and absence of KM were not directly related to a greater microbial biofilm count. The results suggested that submerged healing does not protect implants against bacterial colonization.

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“…Microgaps between implant and abutment can harbor bacterial species and allow the bi‐directional leakage of microorganisms, fluids, and toxins through the interface. This process can lead to inflammatory responses in the peri‐implant soft tissues, bone resorption and, ultimately, implant failure 10 …”

Section: Introductionmentioning

confidence: 99%

Microbial communities of titanium versus zirconia abutments on implant‐supported restorations: Biodiversity composition and its impact on clinical parameters over a 3‐year longitudinal prospective study

Freitas

Rey

Santos

et al. 2021

Clin Implant Dent Rel Res

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Background Shifts in microbial communities are common over time, but they may disturb the host‐microbiome homeostasis and result in inflammation of the peri‐implant issues if a dysbiotic biofilm is established. Purpose Considering that different oral substrate surfaces may have a relevant impact on the microbial adhesion and colonization, the aim of this study was to investigate the microbial communities of the biofilm formed on single‐implant restorations using titanium or zirconia abutments and how they correlate with clinical parameters after 3‐years of implant loading. Materials and methods MiSeq sequencing of 16S rRNA amplicons was used to characterize the oral biofilms of individuals (n = 20) who were sampled longitudinally during 3 years of masticatory loading. Bioinformatics analysis and multivariate statistical analysis were used to evaluate the microbial diversity and clinical outcomes. Results Microbiomes of both abutment materials presented high alpha‐diversity indices during all the experimental period, irrespective of the time of sampling. Microbial communities of titanium and zirconia were quite different over time, differing about 30% after 3 years of functional loading. Similarity of microbiomes between tested abutments and contralateral teeth was also low, ranging between 45% and 50% after 3 years of investigation. Periodontal pathogens commonly associated with peri‐implantitis were found in both groups. Furthermore, both abutment materials presented strong correlations of diversity indices and microbial taxa with clinical outcomes. Conclusions The type of abutment substrate significantly influenced diversity and clustering of communities during 3 years of functional loading. The time of sampling had no effect on the variables. Large correlations were found between microbial findings and clinical outcomes.

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Experimental conical‐head abutment screws on the microbial leakage through the implant‐abutment interface: an in vitro analysis using target‐specific DNA probes

Cited by 14 publications

References 35 publications

A Comparative 3D Finite Element Computational Study of Three Connections

A Comparative 3D Finite Element Computational Study of Three Connections

Evaluation of Microbial Contamination in the Inner Surface of Titanium Implants Before Healing Abutment Connection: A Prospective Clinical Trial

Microbial communities of titanium versus zirconia abutments on implant‐supported restorations: Biodiversity composition and its impact on clinical parameters over a 3‐year longitudinal prospective study

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