<abstract xmlns="http://www.w3.org/1999/xhtml">

<sec id="j_aoj-2022-0018_s_006">
<h3>Background/Objective</h3>
<p>The Tanaka and Johnston mixed dentition analysis is a widely used method to predict the size of unerupted permanent canines and premolars. The aim of the present study was to determine the applicability of the Tanaka and Johnston analysis to Western Australian adolescents and develop a new regression equation.</p>
</sec>
<sec id="j_aoj-2022-0018_s_007">
<h3>Methods</h3>
<p>Five hundred participants (323 females, 177 males) meeting the inclusion criteria were selected from private orthodontic clinics. The mesiodistal dimensions of all permanent teeth were retrieved from pre-orthodontic treatment digital dental records using Invisalign<sup>®</sup> technology (Invisalign®, Align Technology, Santa Clara, CA, USA) and analysed using a predicted value derived from the Tanaka and Johnston analysis. Correlation and linear regression analyses were applied to develop new regression equations.</p>
</sec>
<sec id="j_aoj-2022-0018_s_008">
<h3>Result</h3>
<p>A significant difference was found between the actual and predicted values derived from the Tanaka and Johnston analysis. A significant correlation was observed between the sum of the permanent mandibular incisors and the sum of the maxillary and mandibular canine and premolars (0.58–0.74). New regression equations and tables were derived from the study population.</p>
</sec>
<sec id="j_aoj-2022-0018_s_009">
<h3>Conclusion</h3>
<p>The Tanaka and Johnston analysis overestimated the mesiodistal dimensions of permanent canines and premolars. The developed regression equation and tables may be used for orthodontic diagnosis and treatment planning in Western Australian adolescents.</p>
</sec>
</abstract>

Background/Objective
The Tanaka and Johnston mixed dentition analysis is a widely used method to predict the size of unerupted permanent canines and premolars. The aim of the present study was to determine the applicability of the Tanaka and Johnston analysis to Western Australian adolescents and develop a new regression equation.


Methods
Five hundred participants (323 females, 177 males) meeting the inclusion criteria were selected from private orthodontic clinics. The mesiodistal dimensions of all permanent teeth were retrieved from pre-orthodontic treatment digital dental records using Invisalign® technology (Invisalign®, Align Technology, Santa Clara, CA, USA) and analysed using a predicted value derived from the Tanaka and Johnston analysis. Correlation and linear regression analyses were applied to develop new regression equations.


Result
A significant difference was found between the actual and predicted values derived from the Tanaka and Johnston analysis. A significant correlation was observed between the sum of the permanent mandibular incisors and the sum of the maxillary and mandibular canine and premolars (0.58–0.74). New regression equations and tables were derived from the study population.


Conclusion
The Tanaka and Johnston analysis overestimated the mesiodistal dimensions of permanent canines and premolars. The developed regression equation and tables may be used for orthodontic diagnosis and treatment planning in Western Australian adolescents.

The applicability of the Tanaka and Johnston analysis in a contemporary Western Australian population

Australasian Orthodontic Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Background/Objective
The Tanaka and Johnston mixed dentition analysis is a widely used method to predict the size of unerupted permanent canines and premolars....

The applicability of the Tanaka and Johnston analysis in a contemporary Western Australian population

Publié en ligne: 06 juil. 2022

Pages: 153 - 161

Reçu: 01 févr. 2022

Accepté: 01 avr. 2022

DOI: https://doi.org/10.2478/aoj-2022-0018

© 2022 Sidra Abaid et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.