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A New Method for Prediction of Dental Arch Perimeter
PURPOSE: Dental arch length, width, and perimeter are considered to be important for the diagnosis and treatment of orthodontic cases. This study aimed to utilize dental arch width and length to create an equation for predicting dental arch perimeter. MATERIALS AND METHODS: Sixty-seven pairs of stud...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927486/ https://www.ncbi.nlm.nih.gov/pubmed/31908539 http://dx.doi.org/10.2147/CCIDE.S234851 |
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author | Al-Ansari, Nadia Basim Abdul Ameer, Suha Ali Nahidh, Mohammed |
author_facet | Al-Ansari, Nadia Basim Abdul Ameer, Suha Ali Nahidh, Mohammed |
author_sort | Al-Ansari, Nadia Basim |
collection | PubMed |
description | PURPOSE: Dental arch length, width, and perimeter are considered to be important for the diagnosis and treatment of orthodontic cases. This study aimed to utilize dental arch width and length to create an equation for predicting dental arch perimeter. MATERIALS AND METHODS: Sixty-seven pairs of study models for patients with normal occlusion who received dental treatment were included in this study. Dental arch width at the level of the canines, first premolars, and first molars, in addition to dental arch length and perimeter, were measured using a digital vernier with 0.01mm accuracy. Data were subjected to step-wise regression analysis to determine the major predictors of arch perimeters and develop regression equations for both arches. The predicted arch perimeters were compared with the actual measured values using paired sample t-test. RESULTS: For both arches, the perimeter showed a direct, moderate to strong, highly significant correlation with the length and width measurements. Findings from step-wise regression analysis indicated that there was a strong correlation between arch perimeter and the inter-canine width and arch length, which explained 67.7% of the variation in arch perimeter in the maxillary arch. In the mandibular arch, inter-molar width, inter-canine width, and arch length explained 55.1% of the variation in the dental arch perimeter. The arch perimeter values predicted from the developed equations were not significantly different from the actual values that were measured. CONCLUSION: New regression equations based on dental arch width and length at the level of the premolars, molars, and canines were developed to predict dental arch perimeters for both the mandibular and maxillary arches. |
format | Online Article Text |
id | pubmed-6927486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-69274862020-01-06 A New Method for Prediction of Dental Arch Perimeter Al-Ansari, Nadia Basim Abdul Ameer, Suha Ali Nahidh, Mohammed Clin Cosmet Investig Dent Original Research PURPOSE: Dental arch length, width, and perimeter are considered to be important for the diagnosis and treatment of orthodontic cases. This study aimed to utilize dental arch width and length to create an equation for predicting dental arch perimeter. MATERIALS AND METHODS: Sixty-seven pairs of study models for patients with normal occlusion who received dental treatment were included in this study. Dental arch width at the level of the canines, first premolars, and first molars, in addition to dental arch length and perimeter, were measured using a digital vernier with 0.01mm accuracy. Data were subjected to step-wise regression analysis to determine the major predictors of arch perimeters and develop regression equations for both arches. The predicted arch perimeters were compared with the actual measured values using paired sample t-test. RESULTS: For both arches, the perimeter showed a direct, moderate to strong, highly significant correlation with the length and width measurements. Findings from step-wise regression analysis indicated that there was a strong correlation between arch perimeter and the inter-canine width and arch length, which explained 67.7% of the variation in arch perimeter in the maxillary arch. In the mandibular arch, inter-molar width, inter-canine width, and arch length explained 55.1% of the variation in the dental arch perimeter. The arch perimeter values predicted from the developed equations were not significantly different from the actual values that were measured. CONCLUSION: New regression equations based on dental arch width and length at the level of the premolars, molars, and canines were developed to predict dental arch perimeters for both the mandibular and maxillary arches. Dove 2019-12-19 /pmc/articles/PMC6927486/ /pubmed/31908539 http://dx.doi.org/10.2147/CCIDE.S234851 Text en © 2019 Al-Ansari et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Al-Ansari, Nadia Basim Abdul Ameer, Suha Ali Nahidh, Mohammed A New Method for Prediction of Dental Arch Perimeter |
title | A New Method for Prediction of Dental Arch Perimeter |
title_full | A New Method for Prediction of Dental Arch Perimeter |
title_fullStr | A New Method for Prediction of Dental Arch Perimeter |
title_full_unstemmed | A New Method for Prediction of Dental Arch Perimeter |
title_short | A New Method for Prediction of Dental Arch Perimeter |
title_sort | new method for prediction of dental arch perimeter |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927486/ https://www.ncbi.nlm.nih.gov/pubmed/31908539 http://dx.doi.org/10.2147/CCIDE.S234851 |
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