Download Free Assessment Of Dental Implant Stability Using Dynamic Vibration Analysis Book in PDF and EPUB Free Download. You can read online Assessment Of Dental Implant Stability Using Dynamic Vibration Analysis and write the review.

BACKGROUND: Resonance frequency analysis (RFA) is a simple, practical, reproducible, clinically feasible and non-invasive method that allows to safely assess the degree of stiffness that the implant is within the bone structure. AIM: According to the applied methodology, the aim of this clinical study was to perform a research to evaluate the stability of two different types of implants, with resonance frequency analysis (RFA). METHODS AND MATERIALS: This clinical research was approved by the ethical committee (Plataforma Brasil) under the number CAEE 54726816.6.0000.5374. Patients were submitted to conventional dental implant surgery with installation of two implants, Straumannu2019s, Bone Level Tapered (BLT) 4x8mm and SINu2019s Unitite 4x8,5mm. Each patient received two implants, one from each brand, with their respective healing abutments. The stability of the implants (ISQ) was measured by the Osstell apparatus. A torque of 10Ncm was applied to the smartpegs. The stability of the implants was measured at the time of surgery, four, six and eight weeks post-surgery. At each stage, three measurements were taken and a mean (mean ISQ) was obtained for each implant. RESULTS: Each group (SINu00ae and Straumannu00ae) was treated, separately, with ANOVA and the differences found identified by Tukey-Kramer multiple comparisons test. The Straumann implants show no statically difference in the ISQ values for all measurements. The SIN group showed only a statistically lower ISQ value in the 4 week. The two groups were compared in all stages with a paired t-test. The ISQ values u200bu200bfor the Straumann groups were statistically higher in all stages (P
Assessment of implant stability by resonance frequency analysis in anterior and posterior segments of mandibulary edentuolus ridgesOne of the most important inventions in modern dentistry are dental implants. The process of osteointegration is a result of the initial mechanical stability complemented with biological stability. Osstell device was invented to measure the stability of dental implants at any time of the treatment.Aim/Hypothesis: The aim of this study was to analyze the implant stability quotient (ISQ) results of the resonance frequency (RF) in anterior and posterior segments of the lower jaw at the first day of placement of dental implants and 3 months after the surgery.Materials and Methods: This study was approved by forty patients with total or partial edentulous mandibular jaws underwent with 76 dental implants. The ISQ values were measured at the day of surgery and 3 months after placement. Osttell Mentor device was used to measure the RF value of the implant fixture through the transducer or pin. Measurements were taken four times in each direction of inserted oral dental implant.Results: The ISQ primary stability at the day of surgery had a mean value of 63.81 (SD 9.48) for dental implants in anterior segment of lower jaw and the secondary stability was 70.25. The mean ISQ of primary stability of the posterior segments of lower jaw was 63.89 (SD 6,99) while the secondary stability 69.43. Differences between primary and secondary mean ISQ values were statistically significant (p
Dental implants have become a predictable treatment modality that is widely used in the rehabilitation of edentulous areas. The primary stability achieved shortly after implant installation is necessary for the success of osseointegration, as well as one of the main factors that influence the survival rates of the implants. This study aimed to compare the primary and secondary stability, measured by Resonance Frequency Analysis (RFA), in implants of different lengths installed in areas submitted to maxillary sinus lift using BioOssu00ae as graft biomaterial. Correlation between RFA and implant insertion torque was also assessed.The study was approved by the Research Ethics Committee 53955215.0.0000.5137.Twenty implants of 9 and 11mm were inserted into areas submitted to maxillary sinus lift. The insertion torque was measured using the Bien Airu00ae motor and the Osstellu00ae, determined the ISQ (Implant Stability Quotient) at two times: the day of implant installation (T1) and 90 days after implant installation (T2). A D'Agostino-Pearson normality test showed that the data of these variables, Implant Stability Quotient (ISQ) and insertion torque, have a normal distribution. The paired t-test was performed to assess the existence of differences in ISQ between T1 and T2. A Student's t-test was performed to assess any differences in ISQ between the 9mm implants and the 11mm implants. The Pearson correlation test was used to evaluate the existence of a correlation between ISQ and insertion torque at T1.No differences were observed in the ISQ between T1 and T2 when the 20 implants were grouped, nor when the 9mm implants were evaluated separately. In contrast, when the 11mm values were evaluated separately, the ISQ was significantly higher at T2 than at T1 (p 0.05). At T1, the 9mm implants had a higher ISQ than the 11mm ones (p 0.05), whereas at T2 the 11mm implants showed a higher ISQ than the 9mm implants (p
The use of dental implants in the rehabilitation of partially and completely edentulous patients has been significantly increased in recent years. Although high survival rates of implants supporting prosthesis have been reported, failure still happens due to bone loss as results of primary and secondary implant stability. Primary stability of an implant mostly comes from mechanical interaction with cortical bone while secondary stability happens through bone regeneration and remodelling at the implant/bone interface. Defining the implant stability remains a challenge in dentistry and several researches have been made in this field. To detect implant stability, various diagnosis analyses have been employed. Among them, resonance frequency analysis (RFA) is an objective method of monitoring implant/tissue integration. In this thesis, experimental and numerical studies are carried out to find the effect of some parameters affecting the stability of dental implant by using RFA. Modal analysis technique is employed to investigate the effect of coupled mode shapes in dental implant. Moreover, the primary stability of dental implant that indicates the process of bone-implant integration is investigated. Resonance frequency of jaw-implant structure is carried out using finite element modelling. Different implant-bone interface conditions are studied for this investigation. The effects of endosseous implant angulation on the resonance frequency of implant are studied. MIMICS, a three dimensional (3D) modelling software was used to construct a 3D model of a pig mandible from computed tomography (CT) images. The resonance frequency of the implant was analyzed using finite element (FE) modal analysis in a simulated environment. The MIMICS is also used to investigate effect of soft tissue surrounding the implant on the RF of implant. In addition, three different pig mandibles were employed to assess the effect of some parameters affecting resonance frequency of implant. Finally, experimental studies are carried out to investigate the effect of soft tissue on RF of implant. A novel device is also designed for stability analysis of dental implants.
Bone Response to Dental Implant Materials examines the oral environment and the challenges associated with dental biomaterials. Understanding different in vivo and in vitro responses is essential for engineers to successfully design and tailor implant materials which will withstand the different challenges of this unique environment. This comprehensive book reviews the fundamentals of bone responses in a variety of implant materials and presents strategies to tailor and control them. Presents a specific focus on the development and use of biomaterials in the oral environment Discusses the basic science of the dental interface and its clinical applications Contains important coverage on the monitoring and analysis of the dental implant interface
Results: Twenty out of 21 implants failed within 1 year of functional loading, resulting in a 10-year cumulative implant survival estimate of 95%. The failed implants had lower ISQs at surgery (52.3±7.03) and baseline (52.5±4.20) when compared to surviving implants, and the difference was statistically significant at surgery (P