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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...

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Autores principales: Paredes, Vanessa, Tarazona, Beatriz, Zamora, Natalia, Cibrian, Rosa, Gandia, Jose Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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.
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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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