2022 Journal of the World federati…

Three-dimensional analysis of upper airways in Class II malocclusion children with obstructive sleep apnea.

, , , ,

Journal of the World federation of orthodontists Vol. 11 (5) : 156-163 • Oct 2022

BACKGROUND: Morphometric evaluation of upper airways helps in identifying potential craniofacial anatomy that may predispose to pediatric obstructive sleep apnea (OSA). This study evaluated upper airway parameters three-dimensionally in children with OSA, with Class II malocclusion and a retrognathic mandible, to identify cutoff values for cone-beam computed tomography measurements that may predict the presence and severity of pediatric OSA. METHODS: The study comprised 47 growing children with OSA with Class II malocclusion and 47 low-risk OSA-matched controls. Upper airway was segmented into nasopharynx, oropharynx, and hypopharynx using cone-beam computed tomography and MIMICS16.0 software. Parameters included volume, minimum cross-sectional area (CSA(min)), anterioposterior and lateral distances of CSA(min), and upper airway length. RESULTS: The volume, cross-sectional area (CSA(min)), and anteroposterior and lateral distances of CSA(min) were significantly decreased at the level of the oropharynx in patients with OSA. At the level of the hypopharynx, CSA(min) was significantly narrower and upper airway length was significantly increased in patients with OSA. OSA predictive cutoff values were proposed as 41.36 mm(2) CSA(min) at the level of oropharynx, 52.45 mm(2) CSA(min) at the level of hypopharynx, and 55.47 mm upper airway length. Only CSA(min) at the level of the oropharynx had an independent association with OSA severity (P = 0.021). CONCLUSIONS: Significant differences were found in the upper airway parameters of children with OSA compared with corresponding controls. CSA(min) may represent part of the issues that play a role in the pathogenesis of OSA and may serve as a predictive of disease severity.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.