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A computed tomographic, mixed dentition, space analysis comparison

Open Access
|Jul 2021

Abstract

Introduction

A considered space analysis aims to predict the combined mesiodistal widths of unerupted permanent canine and premolars. A miscalculation can lead to the application of inadequate and irreversible treatments.

Objective

To assess the level of agreement between predictions generated by three methods (Moyers’ predictive tables at the 50th and 75th percentiles and Tanaka-Johnston’s equations) on the sum of unerupted teeth compared with measurements derived from cone beam computed tomography, considered in the present study as a ‘gold standard’.

Materials and methods

The study sample was comprised of children (N = 26) aged 8–13 who visited the Department of Dentistry. Moyers’ predictive tables and the Tanaka-Johnston equation were applied to ascertain the space requirements. Cone beam computed tomography was performed on each patient and the volumetric data analysed. A concordance correlation coefficient between each method’s predictions was applied.

Results

The three methods tended to overestimate the cone beam computed tomography readings and were not able to entirely capture the variability of the sum of the unerupted teeth. Moyers’ 50th percentile estimate revealed a more balanced distribution between over-and underestimation.

Conclusion

The present study suggested that Moyers’ 50th percentile is the predictive method with the lowest absolute error and is preferred for clinical use.

DOI: https://doi.org/10.21307/aoj-2020-128 | Journal eISSN: 2207-7480 | Journal ISSN: 2207-7472
Language: English
Page range: 199 - 205
Submitted on: Feb 1, 2015
Accepted on: Sep 1, 2016
Published on: Jul 30, 2021
Published by: Australian Society of Orthodontists Inc.
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Luís Queijo, Francisco do Vale, Ana Corte-Real, Sónia Alves, published by Australian Society of Orthodontists Inc.
This work is licensed under the Creative Commons Attribution 4.0 License.