First-Order Mathematical Correlation Between Damping and Resonance Frequency Evaluating the Bone-Implant Interface

Kwon, Taek Ka; Kim, Hae Young; Yang, Jihoon; Wikesjö, Ulf M.E.; Lee, Jae-Bum; Koo, Ki‐Tae; Yeo, In‐Sung

doi:10.11607/jomi.4468

Cited by 4 publications

(2 citation statements)

References 3 publications

(3 reference statements)

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“…The cells on the Ti implant surfaces seemed to be able to read the configuration of the structural parts of the implant. Considering the fact that implant geometry is a major factor in the initial stability of an implant inserted into bone and that osseointegration contributes to the subsequent stability, such SEM results imply that the initial, or primary, stability is associated with the shape of the crest area and that the secondary, or biological, stability is mainly connected to the cellular behavior at the root area [27,28].…”

Section: Discussionmentioning

confidence: 99%

Osteogenic Cell Behavior on Titanium Surfaces in Hard Tissue

Choi

Albrektsson

Jeon

et al. 2019

JCM

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It is challenging to remove dental implants once they have been inserted into the bone because it is hard to visualize the actual process of bone formation after implant installation, not to mention the cellular events that occur therein. During bone formation, contact osteogenesis occurs on roughened implant surfaces, while distance osteogenesis occurs on smooth implant surfaces. In the literature, there have been many in vitro model studies of bone formation on simulated dental implants using flattened titanium (Ti) discs; however, the purpose of this study was to identify the in vivo cell responses to the implant surfaces on actual, three-dimensional (3D) dental Ti implants and the surrounding bone in contact with such implants at the electron microscopic level using two different types of implant surfaces. In particular, the different parts of the implant structures were scrutinized. In this study, dental implants were installed in rabbit tibiae. The implants and bone were removed on day 10 and, subsequently, assessed using scanning electron microscopy (SEM), immunofluorescence microscopy (IF), transmission electron microscopy (TEM), focused ion-beam (FIB) system with Cs-corrected TEM (Cs-STEM), and confocal laser scanning microscopy (CLSM)—which were used to determine the implant surface characteristics and to identify the cells according to the different structural parts of the turned and roughened implants. The cell attachment pattern was revealed according to the different structural components of each implant surface and bone. Different cell responses to the implant surfaces and the surrounding bone were attained at an electron microscopic level in an in vivo model. These results shed light on cell behavioral patterns that occur during bone regeneration and could be a guide in the use of electron microscopy for 3D dental implants in an in vivo model.

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Section: Discussionmentioning

confidence: 99%

Osteogenic Cell Behavior on Titanium Surfaces in Hard Tissue

Choi

Albrektsson

Jeon

et al. 2019

JCM

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“…In some studies, a very weak correlation was found between both values during implant placement. [ 12 26 ] However, other studies did report a strong correlation between the same. [ 27 28 ] A recent systematic review concludes that insertion torque and RFA are independent and incomparable methods for measuring primary stability, suggesting that a high insertion torque does not necessarily correspond to a high ISQ value.…”

Section: Discussionmentioning

confidence: 99%

Resonance frequency analysis mapping during implant healing using a nanostructured hydroxyapatite surface

Cayo-Rojas¹,

\Rosas-Díaz²,

Malpartida-Carrillo³

et al. 2022

JISPCD

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Aim: Stability measured by resonance frequency analysis (RFA) is an important factor to be considered in the success of dental implant treatments, which can be evaluated from the implant stability quotient (ISQ). The aim of the present case series was to map the RFA during healing of implants with nanostructured hydroxyapatite surface to describe the behavior of ISQ values related to individual factors. Materials and Methods: Twenty-three implants were placed in eight patients by conventional surgical protocol, and ISQ values were monitored from the day of implant placement until week 20. To obtain the ISQ values, an Osstell device was used and the placed implants were grouped in proportional amounts to describe the ISQ behavior considering the length (≤10 or >10 mm), the diameter (3.5 or 4.3 mm), the insertion torque (<40 N-cm or ≥40 N-cm), and the placement area (maxilla or mandible). Results: All the implants assessed decreased their values in the first 3 weeks after placement. Subsequently, the ISQ values increased by amounts similar to those obtained at the time of the placement and even more. Implants with length >10 mm, diameter 4.3 mm, and insertion torque ≥40 N-cm showed the highest ISQ values. Conclusions: A decrease in the ISQ values of dental implants with nanostructured hydroxyapatite surface was evidenced between weeks 2 and 3 considering length, diameter, insertion torque, and maxillary or mandibular placement site.

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The clinical significance of implant stability quotient (ISQ) measurements: A literature review

Huang

Hunziker

2020

Journal of Oral Biology and Craniofacial Research

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First-Order Mathematical Correlation Between Damping and Resonance Frequency Evaluating the Bone-Implant Interface

Cited by 4 publications

References 3 publications

Osteogenic Cell Behavior on Titanium Surfaces in Hard Tissue

Osteogenic Cell Behavior on Titanium Surfaces in Hard Tissue

Resonance frequency analysis mapping during implant healing using a nanostructured hydroxyapatite surface

The clinical significance of implant stability quotient (ISQ) measurements: A literature review

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