Evidence map›Paper›PMID 40459699›Full record

ArticleSleep & breathing = Schlaf & Atmung2025

Analysis of the reliability of a mobile phone application in craniofacial measurement for obstructive sleep apnea.

Isadora Mamede, Sophia Paiva Silveira Lacerda, Anna Bárbara Veloso Tomaz Rodrigues, Alice Veloso Alvares, Bruna Oliveira Andrade, Bruna de Souza Silva, Paulo Camargos, Luciana Menezes Nogueira Martins

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Article in Sleep & breathing = Schlaf & Atmung, 2025. 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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5 · Who and what money

Authors and funding

8 authors.

Isadora MamedeFederal University of São João del Rei, Dona Lindu Campus, R. Sebastião Gonçalves Coelho, 400 - Chanadour, Divinópolis, MG, 35501-296, Brazil. isamamede1@gmail.com.ORCID 0009-0005-7154-8692
Sophia Paiva Silveira LacerdaFederal University of São João del Rei, Dona Lindu Campus, R. Sebastião Gonçalves Coelho, 400 - Chanadour, Divinópolis, MG, 35501-296, Brazil.
Anna Bárbara Veloso Tomaz RodriguesFederal University of São João del Rei, Dona Lindu Campus, R. Sebastião Gonçalves Coelho, 400 - Chanadour, Divinópolis, MG, 35501-296, Brazil.
Alice Veloso AlvaresFederal University of São João del Rei, Dona Lindu Campus, R. Sebastião Gonçalves Coelho, 400 - Chanadour, Divinópolis, MG, 35501-296, Brazil.
Bruna Oliveira AndradeFederal University of São João del Rei, Dona Lindu Campus, R. Sebastião Gonçalves Coelho, 400 - Chanadour, Divinópolis, MG, 35501-296, Brazil.
Bruna de Souza SilvaFederal University of São João del Rei, Dona Lindu Campus, R. Sebastião Gonçalves Coelho, 400 - Chanadour, Divinópolis, MG, 35501-296, Brazil.
Paulo CamargosFederal University of Minas Gerais, Belo Horizonte, Brazil.
Luciana Menezes Nogueira MartinsFederal University of São João del Rei, Dona Lindu Campus, R. Sebastião Gonçalves Coelho, 400 - Chanadour, Divinópolis, MG, 35501-296, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeObstructive sleep apnea (OSA) disrupts breathing due to upper airway obstruction during sleep. This study presents the development of a mobile application for 2D craniofacial measurements associated with OSA, aiming to provide an accessible approach.

methodsThis single-center, cross-sectional, retrospective analysis utilized data from 128 patients who underwent polysomnography and facial photography. Craniofacial measurements were obtained using the mobile app and standard desktop software (Studio 3

resultsThe application showed good reliability for key measurements, including profile angle (ICC = 0.86, p < 0.01), nasolabial angle (ICC = 0.84, p < 0.01), neck angle (ICC = 0.88, p < 0.01), facial height (ICC = 0.73, p < 0.01), and facial width (ICC = 0.75, p < 0.01), with significant F-tests. Bland-Altman analysis corroborated these results. However, upper lip length (ICC = 0.42, p > 0.05) and lower lip length (ICC = 0.54, p > 0.05) showed lower reliability and non-significant F-tests. The mentolabial sulcus (ICC = 0.51, p = 0.04) exhibited moderate reliability but higher variability.

conclusionThis mobile application shows promise as a reliable, accessible tool for OSA-related craniofacial assessment, especially useful in resource-limited settings. ICC and F-test values for primary measurements suggest the app's consistency with traditional methods, though the reduced reliability of lip length and mentolabial sulcus measurements may limit their clinical utility in individual assessments. Therefore, further refinements and validation in diverse populations are recommended.

Indexed as

CephalometryFaceMobile ApplicationsSleep Apnea, ObstructiveAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPhotographyPolysomnographyReproducibility of ResultsRetrospective StudiesFacial photographyMobile appObstructive sleep apneaPhotogrammetry

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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.