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Review
. 2021 Sep 1;13(9):e941-e947.
doi: 10.4317/jced.58105. eCollection 2021 Sep.

Airways cephalometric norms from a sample of Caucasian Children

Affiliations
Review

Airways cephalometric norms from a sample of Caucasian Children

Luis-Miguel Pérez-Rodríguez et al. J Clin Exp Dent. .

Abstract

Background: The diagnosis of the respiratory pattern and the analysis of airway dimension using lateral cephalometric radiographs include the study of the adenoid region, free air space of the nasopharynx and oropharynx, soft palate and posterior part of the tongue. The objective of this study is to identify the airways cephalometric norms from a sample of Caucasian children, in relation to gender, age and type of malocclusion.

Material and methods: A total of 480 patients of both sexes were included in the study, the age ranged between 6-12 years. The radiographic records were analyzed using the Nemoceph® 11.3.0 software and the diagnosis of skeletal class was performed using the Steiner analysis. The cephalometric measurements used for the study were PNS-AD1, AD1-Ba, PNS-Ba, Ptm-Ba, PNS-H and the upper and lower airways according to McNamara analysis. The comparative analysis was performed using only upper and lower airways variables.

Results: The mean values for each variable in the total sample were 23.2 mm (PNS-Ad1), 24.7 mm (Ad1-Ba), 47.6 mm (PNS-Ba), 45.7 mm (Ptm-Ba), 30.0 mm (PNS-H), 9.3 mm (upper airway) and 11.5 mm (lower airway). According to gender, all variables were greater in the boys group except for the lower airway. In relation to age, the mean values increased with age except for the lower airway and the AD1-Ba variables. In patients with skeletal Class I greater dimensions of the upper and lower airways were observed.

Conclusions: In this Caucasian sample, it has been observed a tendency of minor airway dimensions in patients with skeletal Class II, lower age range female gender. It has been observed only significant differences between age and skeletal class for lower airways variable and, in relation to upper airways variable the results were significant in relation to age. Key words:Child development, Diagnostic XRay, Cephalometry, Respiratory system diagnostic imaging.

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Conflict of interest statement

Conflicts of interest The authors declare no conflict of interest in this article.

Figures

Figure 1
Figure 1
Cephalometric measurements of the airways.
Figure 2
Figure 2
Classification tree in relation to upper airways variable and age.

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