PURPOSE: This study analyzed baseline and post-fatigue reverse-torque values (RTVs) for a specific brand control abutment relative to a third party compatible abutment. The purpose of this study was to compare the abutments' fatigue resistance to simulated function, using RTVs as an indication of residual preload at the implant/abutment interface. MATERIALS AND METHODS: Forty Straumann tissue-level implants were mounted in resin and divided into four groups (n = 10). Forty abutments were seated, 20 control and 20 third-party abutments, according to manufacturer guidelines. Ten abutments from each manufacturer were evaluated for RTV without fatigue loading, using a calibrated digital torque gauge to provide a baseline RTVs. Fatigue loading was carried out on the remaining ten specimens from each manufacturer according to ISO 14801 guidelines. A moving-magnet linear motor was used to load one specimen per sequence, alternating from 10 to 200 N at 15 Hz for 5×10(6) cycles. RTV was recorded post-fatigue loading. The results were subjected to two-sample t-testing and two-way ANOVA. Scanning electron microphotography was carried out on three specimens from both manufacturers at baseline and post-fatigue cycling to visualize thread geometry and the abutment/implant interface. RESULTS: The data indicated that mean post-fatigue RTV observed for the control group was significantly higher than the third-party group (RTV 42.65 ± 6.70 N vs. 36.25 ± 2.63 N, p= 0.0161). Visual differences at the macro/microscopic level were also apparent for thread geometry, with third-party abutments demonstrating considerably greater variation in geometrical architecture than control specimens. CONCLUSIONS: Within the limitations of this in vitro model, the effect of component manufacturer resulted in a significantly higher RTV in the control group (two-way ANOVA, p= 0.0032) indicating greater residual preload; however, there was no significant decrease in post-fatigue RTV for either manufacturer compared to baseline.
PURPOSE: This study analyzed baseline and post-fatigue reverse-torque values (RTVs) for a specific brand control abutment relative to a third party compatible abutment. The purpose of this study was to compare the abutments' fatigue resistance to simulated function, using RTVs as an indication of residual preload at the implant/abutment interface. MATERIALS AND METHODS: Forty Straumann tissue-level implants were mounted in resin and divided into four groups (n = 10). Forty abutments were seated, 20 control and 20 third-party abutments, according to manufacturer guidelines. Ten abutments from each manufacturer were evaluated for RTV without fatigue loading, using a calibrated digital torque gauge to provide a baseline RTVs. Fatigue loading was carried out on the remaining ten specimens from each manufacturer according to ISO 14801 guidelines. A moving-magnet linear motor was used to load one specimen per sequence, alternating from 10 to 200 N at 15 Hz for 5×10(6) cycles. RTV was recorded post-fatigue loading. The results were subjected to two-sample t-testing and two-way ANOVA. Scanning electron microphotography was carried out on three specimens from both manufacturers at baseline and post-fatigue cycling to visualize thread geometry and the abutment/implant interface. RESULTS: The data indicated that mean post-fatigue RTV observed for the control group was significantly higher than the third-party group (RTV 42.65 ± 6.70 N vs. 36.25 ± 2.63 N, p= 0.0161). Visual differences at the macro/microscopic level were also apparent for thread geometry, with third-party abutments demonstrating considerably greater variation in geometrical architecture than control specimens. CONCLUSIONS: Within the limitations of this in vitro model, the effect of component manufacturer resulted in a significantly higher RTV in the control group (two-way ANOVA, p= 0.0032) indicating greater residual preload; however, there was no significant decrease in post-fatigue RTV for either manufacturer compared to baseline.
Authors: Ana Sofia Vinhas; Carlos Aroso; Filomena Salazar; Marta Relvas; Ana Cristina Braga; Blanca Ríos-Carrasco; Javier Gil; José Vicente Rios-Santos; Ana Fernández-Palacín; Mariano Herrero-Climent Journal: Materials (Basel) Date: 2022-02-14 Impact factor: 3.623
Authors: Marco Tallarico; Joseph Fiorellini; Yasushi Nakajima; Yuki Omori; Iida Takahisa; Luigi Canullo Journal: Biomed Res Int Date: 2018-12-30 Impact factor: 3.411
Authors: Ana Sofia Vinhas; Carlos Aroso; Filomena Salazar; Paula López-Jarana; José Vicente Ríos-Santos; Mariano Herrero-Climent Journal: Int J Environ Res Public Health Date: 2020-11-23 Impact factor: 3.390
Authors: John Eversong Lucena de Vasconcelos; Jefferson David Melo de Matos; Daher Antonio Queiroz; Guilherme da Rocha Scalzer Lopes; Bruna Caroline Gonçalves Vasconcelos de Lacerda; Marco Antonio Bottino; Cecilia Pedroso Turssi; Roberta Tarkany Basting; Flávia Lucisano Botelho do Amaral; Fabiana Mantovani Gomes França Journal: Materials (Basel) Date: 2022-08-03 Impact factor: 3.748