TOOTH SIZE PREDICTION IN WHITE BRAZILIAN INDIVIDUALS: applicability of methods DOI: http://dx.doi.org/10.5892/ruvrd.v15i1.4200
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
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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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 |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://periodicos.unincor.br/index.php/revistaunincor/article/view/4200 10.5892/ruvrd.v15i1.4200 |
url |
http://periodicos.unincor.br/index.php/revistaunincor/article/view/4200 |
identifier_str_mv |
10.5892/ruvrd.v15i1.4200 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://periodicos.unincor.br/index.php/revistaunincor/article/view/4200/3175 10.5892/ruvrd.v15i1.4200.g3175 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2021 Revista da Universidade Vale do Rio Verde info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2021 Revista da Universidade Vale do Rio Verde |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
|
dc.publisher.none.fl_str_mv |
ABEC |
publisher.none.fl_str_mv |
ABEC |
dc.source.none.fl_str_mv |
Revista da Universidade Vale do Rio Verde; v. 15, n. 1 (2017); 892-904 2236-5362 1517-0276 10.5892/ruvrd.v15i1 reponame:Revista da Universidade Vale do Rio Verde (Online) instname:Universidade Vale do Rio Verde (UNINCOR) instacron:UVRV |
instname_str |
Universidade Vale do Rio Verde (UNINCOR) |
instacron_str |
UVRV |
institution |
UVRV |
reponame_str |
Revista da Universidade Vale do Rio Verde (Online) |
collection |
Revista da Universidade Vale do Rio Verde (Online) |
repository.name.fl_str_mv |
Revista da Universidade Vale do Rio Verde (Online) - Universidade Vale do Rio Verde (UNINCOR) |
repository.mail.fl_str_mv |
revistaunincor@unincor.edu.br |
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1797051200364871680 |