Journal article
Predicting sleep apnea from three-dimensional face photography
Journal of clinical sleep medicine, Vol.16(4), pp.493-502
2020
PMID: 32003736
Abstract
STUDY OBJECTIVES: Craniofacial anatomy is recognized as an important predisposing factor in the pathogenesis of obstructive sleep apnea (OSA). This study used three-dimensional (3D) facial surface analysis of linear and geodesic (shortest line between points over a curved surface) distances to determine the combination of measurements that best predicts presence and severity of OSA.
METHODS: 3D face photographs were obtained in 100 adults without OSA (apnea-hypopnea index [AHI] < 5 events/h), 100 with mild OSA (AHI 5 to < 15 events/h), 100 with moderate OSA (AHI 15 to < 30 events/h), and 100 with severe OSA (AHI ≥ 30 events/h). Measurements of linear distances and angles, and geodesic distances were obtained between 24 anatomical landmarks from the 3D photographs. The accuracy with which different combinations of measurements could classify an individual as having OSA or not was assessed using linear discriminant analyses and receiver operating characteristic analyses. These analyses were repeated using different AHI thresholds to define presence of OSA.
RESULTS: Relative to linear measurements, geodesic measurements of craniofacial anatomy improved the ability to identify individuals with and without OSA (classification accuracy 86% and 89% respectively, P < .01). A maximum classification accuracy of 91% was achieved when linear and geodesic measurements were combined into a single predictive algorithm. Accuracy decreased when using AHI thresholds ≥ 10 events/h and ≥ 15 events/h to define OSA although greatest accuracy was always achieved using a combination of linear and geodesic distances.
CONCLUSIONS: This study suggests that 3D photographs of the face have predictive value for OSA and that geodesic measurements enhance this capacity.
Details
- Title
- Predicting sleep apnea from three-dimensional face photography
- Authors/Creators
- Peter Eastwood - The University of Western AustraliaSyed Zulqarnain Gilani - Univ Western Australia, Sch Comp Sci & Software Engn, Perth, WA, AustraliaNigel McArdle - Sir Charles Gairdner HospitalDavid Hillman - The University of Western AustraliaJennifer Walsh - The University of Western AustraliaKathleen Maddison - Sir Charles Gairdner HospitalMithran Goonewardene - The University of Western AustraliaAjmal Mian - The University of Western Australia
- Publication Details
- Journal of clinical sleep medicine, Vol.16(4), pp.493-502
- Publisher
- Amer Acad Sleep Medicine
- Number of pages
- 10
- Grant note
- 1021858; 1027449; 1044840; 1042341 / National Health and Medical Research Council; National Health and Medical Research Council (NHMRC) of Australia University of Notre Dame Women and Infants Research Foundation University of Western Australia University of Western Australia Faculty of Medicine, Dentistry, and Health Sciences Murdoch University National Health and Medical Research Council; National Health and Medical Research Council (NHMRC) of Australia Telethon Kids Institute Edith Cowan University Raine Medical Research Foundation Curtin University
- Identifiers
- 991005591573307891
- Copyright
- © 2020 American Academy of Sleep Medicine
- Murdoch Affiliation
- Vice Chancellery
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.137 Sleep Science & Circadian Systems
- 1.137.382 Obstructive Sleep Apnea
- Web Of Science research areas
- Clinical Neurology
- ESI research areas
- Neuroscience & Behavior