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P21
Predictive Value of Resonance Frequency Analysis in Surgical Placement of Implants of Various Systems
Thursday, March 1 / 12:10-12:20pm / Monitor 5

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The Predictive Value Of Resonance Frequency Analysis In The Surgical Placement Of Implants Of Various Systems

Introduction:

Primary implant stability is the principal factor guiding the selection of implant placement protocols. A mechanically stable implant has a better chance at transitioning into a biologically stable, osseointegrated implant.

In order to monitor and measure implant stability successfully, we use a reliable and non-invasive quantitative measure, such as Resonance Frequency Analysis (RFA), which will allow us to correlate empirical values to clinical outcomes. The unit for RFA is the Implant Stability Quotient (ISQ), which  ranges from 0–100.

RFA subjects the implant to a lateral bending test functioning in a manner similar to an electronic tuning fork. RFA does not place the implant at any risk during any part of the treatment. Since it is quantifiable, it leads to better case documentation and communication between clinicians, allows for objective decision-making when selecting treatment protocols, and makes it possible to trend implant stability over time, and modify treatment protocols.

Purpose of Study:

The purpose of this study was to investigate the predictive value of resonance frequency analysis in assessing implant survival. This was accomplished by determining the correlation between implant stability quotients and implant survival following different placement staging (one-stage vs. two stage) protocols. The goal is to demonstrate optimal ISQ cutoff values to guide clinicians in selecting placement protocols.

Materials and Methods:

A retrospective study was performed on implant patient data collected over a 10-year period from 2002 to 2012. Patients ranged in age from 16 to 93 years. 2028 implants were analyzed during placement. All implants were placed with respective ISQs recorded by one oral and maxillofacial surgeon.

Receiver operating characteristic (ROC) statistical analysis was used to calculate sensitivity and specificity values corresponding to various ISQ cutoff points for different placement staging and loading protocols; χ(2) tests were used to identify significant differences.

Discussion:

One-stage placement of implants with ISQ values greater than 66 can be performed reliably, with a 100% survival rate. Implants with ISQ values less than or equal to 66 indicate higher survival rates using the two-stage protocol. Resonance frequency analysis is a non-invasive technique used to measure the stability of implants and to help guide placement staging protocols. This study showed that increasing ISQ values correlated with increased sensitivity in detecting implant failure. Given the high survival rates of dental implants, which was 98.2% in this study, additional studies are needed to further elucidate the relationship between ISQ values and survival rates.

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