Academic Journal
Predicting sleep apnea from three-dimensional face photography
| العنوان: | Predicting sleep apnea from three-dimensional face photography |
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| المؤلفون: | Eastwood, Peter, Gilani, Syed Zulqarnain, McArdle, Nigel, Hillman, David, Walsh, Jennifer, Maddison, Kathleen, Goonewardene, Mithran, Mian, Ajmal |
| بيانات النشر: | Amer Acad Sleep Medicine |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 3dMD, craniofacial anatomy, linear discriminant analysis, obstructive sleep apnea, polysomnography, Raine Study, three-dimensional photography |
| الوصف: | 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. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 1550-9389 1550-9397 |
| Relation: | ispartof: Journal of clinical sleep medicine spage 493 epage 502 issue 4 vol 16; WOS:000549777700006; https://doi.org/10.5664/jcsm.8246; 991005591573307891; https://researchportal.murdoch.edu.au/esploro/outputs/journalArticle/Predicting-sleep-apnea-from-three-dimensional-face/991005591573307891; alma:61MUN_INST/bibs/991005591573307891 |
| DOI: | 10.5664/jcsm.8246 |
| الاتاحة: | https://doi.org/10.5664/jcsm.8246 https://researchportal.murdoch.edu.au/esploro/outputs/journalArticle/Predicting-sleep-apnea-from-three-dimensional-face/991005591573307891 |
| Rights: | © 2020 American Academy of Sleep Medicine |
| رقم الانضمام: | edsbas.36FFEECF |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 15509389 15509397 |
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| DOI: | 10.5664/jcsm.8246 |