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[Applicability of the Moyers mixed dentition analysis for the Hungarian population]. | LitMetric

[Applicability of the Moyers mixed dentition analysis for the Hungarian population].

Orv Hetil

Fogászati és Szájsebészeti Klinika, Fogszabályozási Részleg, Pécsi Tudományegyetem, Klinikai Központ Pécs, Dischka Győző utca 5., 7621.

Published: December 2019

Moyers mixed dentition analysis is one of the most commonly used prediction methods to estimate the size of the unerupted teeth. By its use, we can determine the severity of tooth size-arch length discrepancies in mixed dentition. Since the tooth size may vary considerably among different ethnic groups, for the most precise estimation of the required space, an analysis based on the individual's own ethnic group would be recommended. Our aim was to evaluate the applicability of Moyers mixed dentition analysis for the Hungarian population. Upper and lower study casts of 370 patients were evaluated. The mesiodistal widths of the teeth were measured by using a Pittsburgh digital caliper. The odontometric values obtained were used to calculate actual and predicted values. The actual teeth measurements were then statistically compared to the predicted values derived from Moyers probability tables. Using Moyers analysis, we found significant differences at each percentile between the actual and predictive values in both sexes. In the upper jaw, values for men at the 95th, 85th, 75th, and 65th percentile overestimated the actual values, while for women only the 65th percentile underestimated it. In the lower jaw, all values were overestimated in relation to the actual measurements at all percentiles. Based on our results, Moyers mixed dentition analysis cannot be reliably applied for the Hungarian population. If used, it is recommended to use the Moyers predicted values at the 65th instead of the 75th percentile, as this will result in closer estimation to the actual space requirements. Orv Hetil. 2019; 160(50): 1984-1989.

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Source
http://dx.doi.org/10.1556/650.2019.31571DOI Listing

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