Evidence map›Paper›PMID 42047227›Full record

ArticleScience progress

Does three-dimensional facial morphology relate to risk of sleep-disordered breathing in children? A cross-sectional study.

Benjamin T Pliska, Felix Y H Wu, Alice Q Liu, Siddharth R Vora, Neil K Chadha

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Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Benjamin T PliskaDivision of Orthodontics, Department of Oral Health Sciences, Faculty of Dentistry, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-8935-7203
Felix Y H WuDivision of Orthodontics, Department of Oral Health Sciences, Faculty of Dentistry, University of British Columbia, Vancouver, BC, Canada.
Alice Q LiuDivision of Pediatric Otolaryngology-Head & Neck Surgery, BC Children's Hospital, Vancouver, BC, Canada.
Siddharth R VoraDivision of Orthodontics, Department of Oral Health Sciences, Faculty of Dentistry, University of British Columbia, Vancouver, BC, Canada.
Neil K ChadhaDivision of Pediatric Otolaryngology-Head & Neck Surgery, BC Children's Hospital, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo assess the feasibility of three-dimensional (3D) stereophotogrammetry as a tool in pediatric outpatient assessment, in exploring associations between facial morphometric parameters of children aged 2-17 years, and their risk of sleep-disordered breathing (SDB) as evidenced by their Pediatric Sleep Questionnaire (PSQ) score.MethodsA cross-sectional study of 180 pediatric patients (aged 2-17 years) recruited consecutively from a tertiary pediatric otolaryngology clinic. 3D facial images were acquired using stereophotogrammetry, and patients' SDB risk was evaluated using the validated PSQ. Linear regression models assessed associations between PSQ scores and demographic and facial morphometric variables. Geometric morphometric (GMM) analysis was performed to assess differences in facial morphology between subjects at high and low risk for SDB.Results33.9% of patients scored at high risk for SDB. No statistically significant associations were found between PSQ score and any 3D facial morphometric parameter. PSQ score was not associated with sex, age, age×sex interaction, or body mass index. Geometric morphometric analysis found no difference in facial shape between those at high risk for SDB and those at lower risk.ConclusionsStereophotogrammetry may be successfully applied in a specialist pediatric outpatient clinic as a non-invasive and low-resource method for measuring 3D facial features. No linear or angular measurements assessed in this study were found to have a strong correlation with PSQ score. These findings suggest that 3D external facial soft-tissue measures may not add discriminatory value beyond symptom-based screening in this tertiary clinic setting, and that facial morphology alone is unlikely to be a sufficient screening tool for pediatric SDB. Screening should primarily be based on patient signs and symptoms, and consideration of internal anatomical factors.

Indexed as

FaceImaging, Three-DimensionalSleep Apnea SyndromesAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansMalePhotogrammetryRisk FactorsSurveys and Questionnairescraniofacial morphologygeometric morphometricsobstructive sleep apneapediatricssleep-disordered breathingsnoringstereophotogrammetry

Identifiers

PMID42047227
PMCPMC13145041

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.