Influence of the orientation of the Osstell® transducer during measurement of dental implant stability using resonance frequency analysis: A numerical approach

Čapek, Lukáš; Šimůneḱ, A.; Slezák, Radovan; Dzan, L.

doi:10.1016/j.medengphy.2009.02.003

Cited by 20 publications

(28 citation statements)

References 22 publications

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“…As far as the implant is wider, the more decrease of loads is observed due to an increase of the implant surface, as well as the implant length can be decreased. In fact, width has been reported to be more relevant than length, as highest loads concentrate in the coronal zone (7). The fact that each 0.5 mm of implant width increase corres-e667 ponds with an increase of 10% to 15% of the implant surface, lead us to study the influence of two implant diameters: 3.75 and 4.25 mm (differing each other 0.5 mm exactly) in the implant stability, measured primarily and secondarily by RFA.…”

Section: Discussionmentioning

confidence: 99%

Predictability of the resonance frequency analysis in the survival of dental implants placed in the anterior non-atrophied edentulous mandible

González-García

Monje²,

Moreno-García³

2011

Med Oral

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Background: Dental primary implant stability is considered essential in the success of the osseointegration process. The recent advent of the resonance frequency analysis (RFA) seems to effectively measure primary implant stability, although its relationship with implant survival has to be further established. Patients and Methods: Seventy patients with complete mandibular edentulism underwent dental implant rehabilitation by means of the placement of 68 dental implants within the interforaminal region and subsequent placement of an overdenture. Primary implant stability was measured by means of RFA and it was expressed in terms of imPrimary implant stability was measured by means of RFA and it was expressed in terms of implant stability quotient (ISQ) on the day of the implant insertion and at the time of the healing abutment placement in a conventional implant two-stage surgical procedure. Results: Overall implant survival rate was 97.1% at the end of the follow-up period. The mean ISQ value for 3.75 and 4.25 mm diameter implants was 78.4 ± 5.46 and 80.83 ± 5.35 respectively, at the time of the implant placement; and 76.68 ± 4.34 and 78.22 ± 6.87 respectively, at the second surgical stage. No statistical differences were observed in relation to changes in mean ISQ value along the healing process. Conclusions: No statistical differences in terms of primary and secondary implant stability measured by RFA exists between 3.75 mm and 4.25 mm diameter implants in the conventional implant two-stage surgical procedure in patients with non-atrophied edentulous mandible being restored with an overdenture. Furthermore, no statistical association between RFA and the implant insertion torque was observed for endosseous dental implant placement at the first surgical stage.

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Section: Discussionmentioning

confidence: 99%

Predictability of the resonance frequency analysis in the survival of dental implants placed in the anterior non-atrophied edentulous mandible

González-García

Monje²,

Moreno-García³

2011

Med Oral

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“…A further factor may be the smaller diameter of the implants used in our study, because ISQ values have been shown to be influenced by implant diameter [30]. …”

Section: Discussionmentioning

confidence: 99%

AnEx VivoModel in Human Femoral Heads for Histopathological Study and Resonance Frequency Analysis of Dental Implant Primary Stability

Hernández‐Cortés

Monje

Galindo‐Moreno

et al. 2014

BioMed Research International

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Objective. This study was designed to explore relationships of resonance frequency analysis (RFA)—assessed implant stability (ISQ values) with bone morphometric parameters and bone quality in an ex vivo model of dental implants placed in human femoral heads and to evaluate the usefulness of this model for dental implant studies. Material and Methods. This ex vivo study included femoral heads from 17 patients undergoing surgery for femoral neck fracture due to osteoporosis (OP) (n = 7) or for total prosthesis joint replacement due to severe hip osteoarthrosis (OA) (n = 10). Sixty 4.5 × 13 mm Dentsply Astra implants were placed, followed by RFA. CD44 immunohistochemical analysis for osteocytes was also carried out. Results. As expected, the analysis yielded significant effects of femoral head type (OA versus OA) (P < 0.001), but not of the implants (P = 0.455) or of the interaction of the two factors (P = 0.848). Bonferroni post hoc comparisons showed a lower mean ISQ for implants in decalcified (50.33 ± 2.92) heads than in fresh (66.93 ± 1.10) or fixated (70.77 ± 1.32) heads (both P < 0.001). The ISQ score (fresh) was significantly higher for those in OA (73.52 ± 1.92) versus OP (67.13 ± 1.09) heads. However, mixed linear analysis showed no significant association between ISQ scores and morphologic or histomorphometric results (P > 0.5 in all cases), and no significant differences in ISQ values were found as a function of the length or area of the cortical layer (both P > 0.08). Conclusion. Although RFA-determined ISQ values are not correlated with morphometric parameters, they can discriminate bone quality (OP versus OA). This ex vivo model is useful for dental implant studies.

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“…We shall write (m − v)prod stands for an N -matrix-vector product, and (v − v)prod stands for an Nvector-vector product. Consider algorithm (19), at each POD-Greedy iteration the computational cost is: O(K) solutions of the underlying N -dimensional "truth" FE approximation (9)…”

Section: :50 Inverse Problems In Science and Engineering Dental˙pp˙mentioning

confidence: 99%

“…Examples are clinical percussion testing (impact testing) [3,4], the radio-graphic observation method and the resonance frequency analysis (RFA) [5,6]. Among these methods, the RFA arch 23, 2011 14:50 Inverse Problems in Science and Engineering dental˙pp˙22Mar2011 is adopted by most researchers and is extensively used in many dental implant research to date [6][7][8][9]. In the area of nondestructive evaluation, there are other methods which have been shown successful with some levels in identifying the tissues properties of dental implant-bone structures.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, they have not been convenient for the clinician. The finite element method (FEM) has been widely employed to solve elasticity equations in dental implant (e.g., [9,13,14]). Although the FEM is a very useful and powerful tool in the inverse analysis context, it can be time-consuming because the complexity of implant-bone structures requires a very large number of elements and because many forward problems need to be solved.…”

Section: Introductionmentioning

confidence: 99%

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Rapid identification of material properties of the interface tissue in dental implant systems using reduced basis method

Hoang

Khoo

Liu

et al. 2013

Inverse Problems in Science and Engineering

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This paper proposes a rapid inverse analysis approach based on the reduced basis method and the Levenberg-Marquardt-Fletcher algorithm to identify the "unknown" material properties: Young's modulus and stiffness-proportional Rayleigh damping coefficient of the interfacial tissue between a dental implant and the surrounding bones. In the forward problem, a finite element approximation for a three-dimensional dental implant-bone model is first built. A reduced basis approximation is then established by using a Proper Orthogonal Decomposition (POD)-Greedy algorithm and the Galerkin projection to enable extremely fast and reliable computation of displacement responses for a range of material properties. In the inverse analysis, the reduced basis approximation for the dental implant-bone model are incorporated in the Levenberg-Marquardt-Fletcher algorithm to enable rapid identification of the unknown material properties. Numerical results are presented to demonstrate the efficiency and robustness of the proposed method.

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Influence of the orientation of the Osstell® transducer during measurement of dental implant stability using resonance frequency analysis: A numerical approach

Cited by 20 publications

References 22 publications

Predictability of the resonance frequency analysis in the survival of dental implants placed in the anterior non-atrophied edentulous mandible

Predictability of the resonance frequency analysis in the survival of dental implants placed in the anterior non-atrophied edentulous mandible

AnEx VivoModel in Human Femoral Heads for Histopathological Study and Resonance Frequency Analysis of Dental Implant Primary Stability

Rapid identification of material properties of the interface tissue in dental implant systems using reduced basis method

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