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Efficiency of different protocols for enamel clean-up after bracket debonding: an in vitro study

Overview of attention for article published in Dental Press Journal of Orthodontics, January 2015
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Title
Efficiency of different protocols for enamel clean-up after bracket debonding: an in vitro study
Published in
Dental Press Journal of Orthodontics, January 2015
DOI 10.1590/2177-6709.20.5.078-085.oar
Pubmed ID
Authors

Lara Carvalho Freitas Sigilião, Mariana Marquezan, Carlos Nelson Elias, Antônio Carlos Ruellas, Eduardo Franzotti Sant'Anna

Abstract

This study aimed to assess the efficiency of six protocols for cleaning-up tooth enamel after bracket debonding. A total of 60 premolars were divided into six groups, according to the tools used for clean-up: 12-blade bur at low speed (G12L), 12-blade bur at high speed (G12H), 30-blade bur at low speed (G30L), DU10CO ORTHO polisher (GDU), Renew System (GR) and Diagloss polisher (GD). Mean roughness (Ra) and mean roughness depth (Rz) of enamel surface were analyzed with a profilometer. Paired t-test was used to assess Ra and Rz before and after enamel clean-up. ANOVA/Tukey tests were used for intergroup comparison. The duration of removal procedures was recorded. The association between time and variation in enamel roughness (∆Ra, ∆Rz) were evaluated by Pearson's correlation test. Enamel topography was assessed by scanning electron microscopy (SEM). In Groups G12L and G12H, original enamel roughness did not change significantly. In Groups G30L, GDU, GR and GD, a smoother surface (p < 0.05) was found after clean-up. In Groups G30L and GD, the protocols used were more time-consuming than those used in the other groups. Negative and moderate correlation was observed between time and (∆Ra, ∆Rz); Ra and (∆Ra, ∆Rz); Rz (r = - 0.445, r = - 0.475, p < 0.01). All enamel clean-up protocols were efficient because they did not result in increased surface roughness. The longer the time spent performing the protocol, the lower the surface roughness.

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Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 12%
Student > Bachelor 6 12%
Student > Postgraduate 6 12%
Student > Ph. D. Student 6 12%
Professor 3 6%
Other 5 10%
Unknown 18 36%
Readers by discipline Count As %
Medicine and Dentistry 26 52%
Agricultural and Biological Sciences 2 4%
Engineering 2 4%
Materials Science 2 4%
Energy 1 2%
Other 1 2%
Unknown 16 32%