Influence of Different Implant Geometry in Clinical Longevity and Maintenance of Marginal Bone: A Systematic Review

Lovatto, Sabrina Telles; Bassani, Rafaela; Sarkis‐Onofre, Rafael; Santos, Mateus Bertolini Fernandes dos

doi:10.1111/jopr.12790

Cited by 14 publications

(7 citation statements)

References 34 publications

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“…Meloni et al., (2018) described mean MBL of 0.93 mm after 12 months of follow‐up using NobelReplace CC PMC implants, which is also in line with our observations. The regression model showed no significant impact of the subgroup or the cohort*subgroup interaction on MBL, which confirms a limited influence of the implant macro geometry (Lovatto et al., 2019). On the other hand, the current study could have been underpowered to assess this, since only 28.…”

Section: Discussionmentioning

confidence: 53%

A multicenter cohort study on the association of the one‐abutment one‐time concept with marginal bone loss around bone level implants

Lambrechts

Doornewaard

Bruyckere

et al. 2020

Clinical Oral Implants Res

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Objectives To investigate the association of the one‐abutment one‐time concept with marginal bone loss (MBL) around bone‐level implants in relation to other factors. Materials and methods Records from patients treated by four experienced implant surgeons between January 2016 and July 2019 were scrutinized. Subjects treated with two bone‐level implant types with varying machined collar (subgroups: 0.5 and 0.8 mm) were considered, receiving a healing abutment (HA cohort) or a permanent abutment at the time of surgery (OT cohort). The primary outcome was MBL registered at 3 months and the longest follow‐up. A clustered two‐part regression model for semicontinuous data was used. Results Data pertaining to 160 patients (92 females, mean age 54) and 344 implants (125 in HA cohort, 219 in OT cohort) were available for evaluation. Mean MBL amounted to 0.52 mm (SD 0.68) after a mean follow‐up of 20 (SD 9.2) months, with 33.8% of the implants showing complete bone preservation and 5.0% demonstrating >2mm MBL. OT was not related to the presence of MBL using MBL as dependent binary variable (0: no MBL; 1: MBL irrespective of its magnitude). However, OT significantly reduced the magnitude of MBL with 0.300mm when compared to HA (p = .023) in the cases where MBL was detected. Subgroup (p = .212), smoking (p = .789), history of periodontitis (p = .839), type of edentulism (p = .054), implant surgeon (p = .079), patient compliance (p = .617), and follow‐up (p = .443) failed to show a significant association with MBL in the regression model. Ninety‐eight % of the implants survived. Conclusion Within the limitations of a cohort study, the one‐abutment one‐time concept was associated with a decrease in MBL at implant sites with bone loss. Therefore, the placement of a permanent abutment at the time of surgery seems relevant to limit marginal bone‐level alterations.

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Section: Discussionmentioning

confidence: 53%

A multicenter cohort study on the association of the one‐abutment one‐time concept with marginal bone loss around bone level implants

Lambrechts

Doornewaard

Bruyckere

et al. 2020

Clinical Oral Implants Res

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show abstract

“…Implant design features and structural features may also have an impact on marginal bone loss regardless of the torque used or the region of insertion [ 23 , 24 ], or may have preservation influence on the bone around the implants [ 25 ]. Taking into consideration that torque was not correlated with marginal bone loss in the case of implants in the maxilla, the research shows a correlation between MBL and implant design in the anterior part of the maxilla where the torque was higher than 45 Ncm.…”

Section: Discussionmentioning

confidence: 99%

Are Torque-Induced Bone Texture Alterations Related to Early Marginal Jawbone Loss?

Wach

Skorupska

Trybek

2022

JCM

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The reason why marginal bone loss (MBL) occurs after dental implant insertion without loading has not yet been clearly investigated. There are publications that confirm or reject the notion that there are factors that induce marginal bone loss, but no research investigates what exactly occurs in the bone surrounding the implant neck. In this study, 2196 samples of dental implant neck bone radiographs were analyzed. The follow-up period was 3 months without functional loading of the implant. Marginal bone loss was evaluated in relation to the torque used during the final phase of implant insertion. Radiographic texture features were also analyzed and evaluated. The analyses were performed individually for the anterior and posterior part of the alveolar crest in both the mandible and maxilla. After 3 months, an MBL relation with higher torque (higher than 40 Ncm; p < 0.05) was observed, but only in the lower jaw. The texture features Sum Average (SumAverg), Entropy, Difference Entropy (DifEntr), Long-Run Emphasis (LngREmph), Short-Run Emphasis (ShrtREmph), and discrete wavelet decomposition transform features were changed over time. This study presents that MBL is related to the torque value during dental implant insertion and the location of the procedure. The increasing values of SumAverg and LngREmph correlated with MBL, which were 64.21 to 64.35 and 1.71 to 2.01, respectively. The decreasing values of Entr, DifEntr, and ShrtREmph also correlated with MBL, which were 2.58 to 2.47, 1.11 to 1.01, and 0.88 to 0.84, respectively. The analyzed texture features may become good indicators of MBL in digital dental surgery.

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“…The Kohno and Premium implants differ only in the macro-geometry of the fixture, and this difference was clearly highlighted by a slight reduction in stress on the peri-implant cancellous bone, influencing internal remodelling, and by a low stability of the Kohno. Ultimately, the cylindrical geometry of the fixture and the presence of a machined collar significantly improves bone remodelling after osseointegration and the long-term probability of implant success [84,85].…”

Section: Discussionmentioning

confidence: 99%

A Parametric Study on a Dental Implant Geometry Influence on Bone Remodelling through a Numerical Algorithm

2021

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To ensure the long-term success of a dental implant, it is imperative to understand how chewing loads are transferred through the implant prosthetic components to the surrounding bone tissue. The stress distribution depends on several factors, such as load type, bone–implant interface, shape and materials of the fixture and quality and quantity of the bone. These aspects are of fundamental importance to ensure implant stability and to evaluate the remodelling capacity of the bone tissue to adapt to its biomechanical environment. A bone remodelling algorithm was formulated by the authors and implemented by means of finite element simulations on four different implants with several design characteristics. Internal bone microstructure and density, apposition/resorption of tissue and implant stability were evaluated over a period of 12 months, showing the influence of the geometry on bone tissue evolution over time. Bone remodelling algorithms may be a useful aid for clinicians to prevent possible implant failures and define an adequate implant prosthetic rehabilitation for each patient. In this work, for the first time, external bone remodelling was numerically predicted over time.

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Influence of Different Implant Geometry in Clinical Longevity and Maintenance of Marginal Bone: A Systematic Review

Cited by 14 publications

References 34 publications

A multicenter cohort study on the association of the one‐abutment one‐time concept with marginal bone loss around bone level implants

A multicenter cohort study on the association of the one‐abutment one‐time concept with marginal bone loss around bone level implants

Are Torque-Induced Bone Texture Alterations Related to Early Marginal Jawbone Loss?

A Parametric Study on a Dental Implant Geometry Influence on Bone Remodelling through a Numerical Algorithm

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