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New regression equations for predicting human teeth sizes
INTRODUCTION: The aims of the study were; to evaluate the applicability of the Moyers and Tanaka-Johnston Methods to individuals with a Spanish ancestry, to propose new regression equations using the lower four permanents incisors as predictors for the sum of the widths of the lower permanent canine...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4389662/ https://www.ncbi.nlm.nih.gov/pubmed/25890022 http://dx.doi.org/10.1186/s13005-015-0067-8 |
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author | Paredes, Vanessa Tarazona, Beatriz Zamora, Natalia Cibrian, Rosa Gandia, Jose Luis |
author_facet | Paredes, Vanessa Tarazona, Beatriz Zamora, Natalia Cibrian, Rosa Gandia, Jose Luis |
author_sort | Paredes, Vanessa |
collection | PubMed |
description | INTRODUCTION: The aims of the study were; to evaluate the applicability of the Moyers and Tanaka-Johnston Methods to individuals with a Spanish ancestry, to propose new regression equations using the lower four permanents incisors as predictors for the sum of the widths of the lower permanent canine and premolars, and to compare the new data to those from other populations. METHODS: A total of 359 Spanish ancestry adolescents were selected. Their dental casts were measured using a 2D computerized system. Real teeth measurements were compared with those predicted using Moyers probability tables and Tanaka and Johnston equations, and standard regression equations were then developed. RESULTS: Results showed that Upper and Lower Canine and Premolar (UCPM, LCPM) predictions are quite different depending on the used method. Moyers tables can only be validly applied to a 75% percentile for the mandible in both, males and females, 85% in males and 90-92% in females. CONCLUSIONS: Moyers predictions tend to underestimate UCPM and LCPM whereas Tanaka-Johnston predictions tend to overestimate them. Equations for estimating the combined width of the unerupted canine and premolars were; Male: UCPM = 12.68 + 0.42 LI and LCPM = 11.71 + 0.44 LI. Female: UCPM = 12.06 + 0.43LI and LCPM = 10.71 + 0.46 LI. |
format | Online Article Text |
id | pubmed-4389662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43896622015-04-09 New regression equations for predicting human teeth sizes Paredes, Vanessa Tarazona, Beatriz Zamora, Natalia Cibrian, Rosa Gandia, Jose Luis Head Face Med Research INTRODUCTION: The aims of the study were; to evaluate the applicability of the Moyers and Tanaka-Johnston Methods to individuals with a Spanish ancestry, to propose new regression equations using the lower four permanents incisors as predictors for the sum of the widths of the lower permanent canine and premolars, and to compare the new data to those from other populations. METHODS: A total of 359 Spanish ancestry adolescents were selected. Their dental casts were measured using a 2D computerized system. Real teeth measurements were compared with those predicted using Moyers probability tables and Tanaka and Johnston equations, and standard regression equations were then developed. RESULTS: Results showed that Upper and Lower Canine and Premolar (UCPM, LCPM) predictions are quite different depending on the used method. Moyers tables can only be validly applied to a 75% percentile for the mandible in both, males and females, 85% in males and 90-92% in females. CONCLUSIONS: Moyers predictions tend to underestimate UCPM and LCPM whereas Tanaka-Johnston predictions tend to overestimate them. Equations for estimating the combined width of the unerupted canine and premolars were; Male: UCPM = 12.68 + 0.42 LI and LCPM = 11.71 + 0.44 LI. Female: UCPM = 12.06 + 0.43LI and LCPM = 10.71 + 0.46 LI. BioMed Central 2015-03-25 /pmc/articles/PMC4389662/ /pubmed/25890022 http://dx.doi.org/10.1186/s13005-015-0067-8 Text en © Paredes et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Paredes, Vanessa Tarazona, Beatriz Zamora, Natalia Cibrian, Rosa Gandia, Jose Luis New regression equations for predicting human teeth sizes |
title | New regression equations for predicting human teeth sizes |
title_full | New regression equations for predicting human teeth sizes |
title_fullStr | New regression equations for predicting human teeth sizes |
title_full_unstemmed | New regression equations for predicting human teeth sizes |
title_short | New regression equations for predicting human teeth sizes |
title_sort | new regression equations for predicting human teeth sizes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4389662/ https://www.ncbi.nlm.nih.gov/pubmed/25890022 http://dx.doi.org/10.1186/s13005-015-0067-8 |
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