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Órgano Oficial de la Asociación Dental Mexicana

2004, Number 5

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Rev ADM 2004; 61 (5)

Valoration of the predictive accuracy of mesiodistal tooth size from moyers’ probability tables and equations of Tanaka/Johnston in a mexican population

Cabello MN, Mendoza NVM, Parés VFL

Language: Spanish
References: 18
Page: 176-182
PDF size: 103.13 Kb.


ABSTRACT

The determination of the tooth size-arch lenght discrepancy in the mixed dentition, requires the most accurate prediction of the mesiodistal widths of the unerupted permanent teeth as an essential part of the orthodontic diagnosis procedures for a coherent treatment planning. In this context, the most commonly used prediction methods in our population are the Moyers’ probability tables and the prediction equations of Tanaka and Johnston, however these equations were developed from caucasian populations of Northem Europe, therefore their accuracy is questionable when applied to mexican population. The purpose of this investigation is to determine the predictive accuracy of these mixed dentition analysis in a sample of 35 mexican adolescent from 12 to 15 years without dentoalveolar discrepancy and no orthodontic treatment. The measurements were made on plaster casts and included mesiodistal crown diameters of the four mandibular incisors, canines and premolars maxillary and mandibular of the right side. The mixed dentition analysis were applied and the values obtained were analyzed using procedures such as analysis of variance (ANOVA), analysis of Tukey, as well as correlation coefficient of Pearson. The findings indicate that there were no statistically significant differences between the pronostic values and the actual mesiodistal diameter of canines and premolars maxillary and mandibular (P › 0.05), therefore it was concluded that the Moyers’ probability tables at 75% level and the Tanaka and Johnston equations are clinically useful in our population. Likewise, the correlation coefficients state that the equations of Tanaka and Johnston have more accuracy in the prognosis than Moyers’ probability tables at 75% level (P ‹ 0.001).


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