TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200

Detalhes bibliográficos
Autor(a) principal: MELGAÇO, Camilo Aquino; Universidade Vale do Rio Verde (UNINCOR), Betim, MG
Data de Publicação: 2017
Outros Autores: ARAÚJO, Mônica Tirre de Sousa, RUELLAS, Antônio Carlos de Oliveira, LACERDA, Samyra Maria dos Santos Nassif, MAGALHÃES, Sérgio Ricardo, GROSSMANN, Soraya de Mattos Camargo, JORGE, Kelly Oliva
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista da Universidade Vale do Rio Verde (Online)
Texto Completo: http://periodicos.unincor.br/index.php/revistaunincor/article/view/4200
Resumo: Estimating the mesiodistal widths of unerupted permanent canines and premolars is an essential aspect of mixed dentition analysis that should be considered by dentists treating patients in this stage of developing occlusion. This study aims to evaluate the applicability and accuracy of three non-radiographic prediction methods (Moyers, Tanaka & Johnston and Bernabé & Flores-Mir) and propose new regression equations based on the sum of the widths of the lower  four permanent incisors to predict the widths of lower permanent canines and premolars. The sample was consisted of 400 dental casts obtained from white Brazilian patients (200 male and 200 female). The results demonstrated that Moyers’ tables at 50th and 75th percentile levels tend to underestimate the actual sum of the widths of lower permanent canine and premolars for male and female samples, with statistical significant differences. Although the same statistical significant differences were found when Tanaka & Johnston’s and Bernabé & Flores-Mir’s methods were used, these differences were not clinically relevant (less than1 mm). The regression equations proposed in this study are a good prediction method to determine widths of the lower permanent canine and premolars.
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spelling TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200Tooth Size. Prediction Method. Orthodontics. Dentistry. Linear Regression.Estimating the mesiodistal widths of unerupted permanent canines and premolars is an essential aspect of mixed dentition analysis that should be considered by dentists treating patients in this stage of developing occlusion. This study aims to evaluate the applicability and accuracy of three non-radiographic prediction methods (Moyers, Tanaka & Johnston and Bernabé & Flores-Mir) and propose new regression equations based on the sum of the widths of the lower  four permanent incisors to predict the widths of lower permanent canines and premolars. The sample was consisted of 400 dental casts obtained from white Brazilian patients (200 male and 200 female). The results demonstrated that Moyers’ tables at 50th and 75th percentile levels tend to underestimate the actual sum of the widths of lower permanent canine and premolars for male and female samples, with statistical significant differences. Although the same statistical significant differences were found when Tanaka & Johnston’s and Bernabé & Flores-Mir’s methods were used, these differences were not clinically relevant (less than1 mm). The regression equations proposed in this study are a good prediction method to determine widths of the lower permanent canine and premolars.ABECMELGAÇO, Camilo Aquino; Universidade Vale do Rio Verde (UNINCOR), Betim, MGARAÚJO, Mônica Tirre de SousaRUELLAS, Antônio Carlos de OliveiraLACERDA, Samyra Maria dos Santos NassifMAGALHÃES, Sérgio RicardoGROSSMANN, Soraya de Mattos CamargoJORGE, Kelly Oliva2017-07-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://periodicos.unincor.br/index.php/revistaunincor/article/view/420010.5892/ruvrd.v15i1.4200Revista da Universidade Vale do Rio Verde; v. 15, n. 1 (2017); 892-9042236-53621517-027610.5892/ruvrd.v15i1reponame:Revista da Universidade Vale do Rio Verde (Online)instname:Universidade Vale do Rio Verde (UNINCOR)instacron:UVRVporhttp://periodicos.unincor.br/index.php/revistaunincor/article/view/4200/317510.5892/ruvrd.v15i1.4200.g3175Direitos autorais 2021 Revista da Universidade Vale do Rio Verdeinfo:eu-repo/semantics/openAccess2018-12-16T12:39:31Zoai:ojs.teste.unincor.br:article/4200Revistahttp://periodicos.unincor.br/index.php/revistaunincor/indexPRIhttp://periodicos.unincor.br/index.php/revistaunincor/oairevistaunincor@unincor.edu.br2236-53621517-0276opendoar:2022-05-31T14:30:22.409781Revista da Universidade Vale do Rio Verde (Online) - Universidade Vale do Rio Verde (UNINCOR)false
dc.title.none.fl_str_mv TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
title TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
spellingShingle TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
MELGAÇO, Camilo Aquino; Universidade Vale do Rio Verde (UNINCOR), Betim, MG
Tooth Size. Prediction Method. Orthodontics. Dentistry. Linear Regression.
title_short TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
title_full TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
title_fullStr TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
title_full_unstemmed TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
title_sort TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
author MELGAÇO, Camilo Aquino; Universidade Vale do Rio Verde (UNINCOR), Betim, MG
author_facet MELGAÇO, Camilo Aquino; Universidade Vale do Rio Verde (UNINCOR), Betim, MG
ARAÚJO, Mônica Tirre de Sousa
RUELLAS, Antônio Carlos de Oliveira
LACERDA, Samyra Maria dos Santos Nassif
MAGALHÃES, Sérgio Ricardo
GROSSMANN, Soraya de Mattos Camargo
JORGE, Kelly Oliva
author_role author
author2 ARAÚJO, Mônica Tirre de Sousa
RUELLAS, Antônio Carlos de Oliveira
LACERDA, Samyra Maria dos Santos Nassif
MAGALHÃES, Sérgio Ricardo
GROSSMANN, Soraya de Mattos Camargo
JORGE, Kelly Oliva
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv
dc.contributor.author.fl_str_mv MELGAÇO, Camilo Aquino; Universidade Vale do Rio Verde (UNINCOR), Betim, MG
ARAÚJO, Mônica Tirre de Sousa
RUELLAS, Antônio Carlos de Oliveira
LACERDA, Samyra Maria dos Santos Nassif
MAGALHÃES, Sérgio Ricardo
GROSSMANN, Soraya de Mattos Camargo
JORGE, Kelly Oliva
dc.subject.none.fl_str_mv

dc.subject.por.fl_str_mv Tooth Size. Prediction Method. Orthodontics. Dentistry. Linear Regression.
topic Tooth Size. Prediction Method. Orthodontics. Dentistry. Linear Regression.
description Estimating the mesiodistal widths of unerupted permanent canines and premolars is an essential aspect of mixed dentition analysis that should be considered by dentists treating patients in this stage of developing occlusion. This study aims to evaluate the applicability and accuracy of three non-radiographic prediction methods (Moyers, Tanaka & Johnston and Bernabé & Flores-Mir) and propose new regression equations based on the sum of the widths of the lower  four permanent incisors to predict the widths of lower permanent canines and premolars. The sample was consisted of 400 dental casts obtained from white Brazilian patients (200 male and 200 female). The results demonstrated that Moyers’ tables at 50th and 75th percentile levels tend to underestimate the actual sum of the widths of lower permanent canine and premolars for male and female samples, with statistical significant differences. Although the same statistical significant differences were found when Tanaka & Johnston’s and Bernabé & Flores-Mir’s methods were used, these differences were not clinically relevant (less than1 mm). The regression equations proposed in this study are a good prediction method to determine widths of the lower permanent canine and premolars.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-16
dc.type.none.fl_str_mv

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dc.publisher.none.fl_str_mv ABEC
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dc.source.none.fl_str_mv Revista da Universidade Vale do Rio Verde; v. 15, n. 1 (2017); 892-904
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