Evaluation of dental implant stability in bone phantoms: Comparison between a quantitative ultrasound technique and resonance frequency analysis

Vayron, Romain; Nguyen, Vu‐Hieu; Lecuelle, Benoit; Haïat, Guillaume

doi:10.1111/cid.12622

Cited by 35 publications

(37 citation statements)

References 34 publications

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“…However, no clinical validation of any of these two methods was provided in this article. Analogously, Vayron et al [ 72 ] found a significant correlation between ISQ measured by the Osstell device and marginal bone loss, as well as Miyamoto et al, who gave strong evidence of a linear relationship between ISQ values and cortical bone thickness [ 73 ]. Finally, Farré-Pagès et al reported a statistically significant relationship between different bone qualities, according to Lekholm and Zarb’s classification [ 74 ] and ISQ values [ 75 ].…”

Section: Clinical Validationsmentioning

confidence: 91%

“…The authors explain this result considering that ISQ is related to the vibration of the whole bone–implant system, while the QUS response was related to bone properties on a confined volume that was about 30 µm around the implant [ 80 ]. Another study compared the results obtained with these two technologies in dental implants placed in bone-mimicking phantoms: again, QUS resulted to be a more accurate tool, with higher sensitivity, especially with reference to the final drill diameter [ 72 ]. Nonetheless, the reliability of the QUS technique still needs to be evaluated in clinical studies.…”

Section: Clinical Validationsmentioning

confidence: 99%

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Clinical Assessment of Dental Implant Stability During Follow-Up: What Is Actually Measured, and Perspectives

et al. 2018

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The optimization of loading protocols following dental implant insertion requires setting up patient-specific protocols, customized according to the actual implant osseointegration, measured through quantitative, objective methods. Various devices for the assessment of implant stability as an indirect measure of implant osseointegration have been developed. They are analyzed here, introducing the respective physical models, outlining major advantages and critical aspects, and reporting their clinical performance. A careful discussion of underlying hypotheses is finally reported, as is a suggestion for further development of instrumentation and signal analysis.

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Section: Clinical Validationsmentioning

confidence: 91%

Section: Clinical Validationsmentioning

confidence: 99%

Clinical Assessment of Dental Implant Stability During Follow-Up: What Is Actually Measured, and Perspectives

et al. 2018

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“…where A is an arbitrary constant and f c is its central frequency, which was set to 10 MHz throughout the study as it corresponds to the value used in the QUS device developed by our group (Mathieu et al, 2011b;Vayron et al, 2013;Vayron et al, 2014a;Vayron et al, 2014c;Vayron et al, 2018a;Vayron et al, 2018b). Moreover, the results obtained in Heriveaux et al (2018) indicate that using a frequency equal to 10 MHz guarantees an acceptable sensitivity of the ultrasound response on changes of the biomechanical properties of the BII (a resolution of around 2-12 lm depending on the implant roughness was obtained).…”

Section: A Description Of the Numerical Modelmentioning

confidence: 99%

Reflection of an ultrasonic wave on the bone-implant interface: A numerical study of the effect of the multiscale roughness

Hériveaux

Nguyen

Haïat

2018

The Journal of the Acoustical Society of America

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Quantitative ultrasound is used to characterize and stimulate osseointegration processes at the bone-implant interface (BII). However, the interaction between an ultrasonic wave and the implant remains poorly understood. This study aims at investigating the sensitivity of the ultrasonic response to the microscopic and macroscopic properties of the BII and to osseointegration processes. The reflection coefficient R of the BII was modeled for different frequencies using a two-dimensional finite element model. The implant surface roughness was modeled by a sinusoidal function with varying amplitude h and spatial frequency L. A soft tissue layer of thickness W was considered between bone tissue and the implant in order to model non-mineralized fibrous tissue. For microscopic roughness, R is shown to increase from around 0.55 until 0.9 when kW increases from 0 to 1 and to be constant for kW > 1, where k is the wavenumber in the implant. These results allow us to show that R depends on the properties of bone tissue located at a distance comprised between 1 and 25 μm from the implant surface. For macroscopic roughness, R is highly dependent on h and this dependence may be explained by phase cancellation and multiple scattering effects for high roughness parameters.

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“…A preclinical validation of the device in rabbits was carried out [ 31 ], and showed that the measurement was significantly sensitive to healing time. More recently, the results that were obtained with RFA and QUS techniques were compared using implants that were inserted in bone mimicking phantoms [ 32 ]. Different values of trabecular bone density and cortical thickness were considered to assess the effect of bone quality on the respective indicators (UI and ISQ) [ 32 ].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Resonance Frequency Analysis and of Quantitative Ultrasound to Assess Dental Implant Osseointegration

Vayron

Nguyen

Lecuelle

et al. 2018

Sensors

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Dental implants are widely used in the clinic. However, there remain risks of failure, which depend on the implant stability. The aim of this paper is to compare two methods based on resonance frequency analysis (RFA) and on quantitative ultrasound (QUS) and that aim at assessing implant stability. Eighty-one identical dental implants were inserted in the iliac crests of 11 sheep. The QUS and RFA measurements were realized after different healing times (0, 5, 7, and 15 weeks). The results obtained with the QUS (respectively RFA) method were significantly different when comparing two consecutive healing time for 97% (respectively, 18%) of the implants. The error made on the estimation of the healing time when analyzing the results obtained with the QUS technique was around 10 times lower than that made when using the RFA technique. The results corresponding to the dependence of the ISQ versus healing time were significantly different when comparing two directions of RFA measurement. The results show that the QUS method allows a more accurate determination of the evolution of dental implant stability when compared to the RFA method. This study paves the way towards the development of a medical device, thus providing a decision support system to dental surgeons.

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Evaluation of dental implant stability in bone phantoms: Comparison between a quantitative ultrasound technique and resonance frequency analysis

Abstract: The results show that ultrasound technique provides a better estimation of different parameters related to the implant stability compared to the RFA technique.

Cited by 35 publications

References 34 publications

Clinical Assessment of Dental Implant Stability During Follow-Up: What Is Actually Measured, and Perspectives

Clinical Assessment of Dental Implant Stability During Follow-Up: What Is Actually Measured, and Perspectives

Reflection of an ultrasonic wave on the bone-implant interface: A numerical study of the effect of the multiscale roughness

Comparison of Resonance Frequency Analysis and of Quantitative Ultrasound to Assess Dental Implant Osseointegration

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