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The facial morphology in Down syndrome: A 3D comparison of patients with and without obstructive sleep apnea.
- Source :
-
American journal of medical genetics. Part A [Am J Med Genet A] 2017 Nov; Vol. 173 (11), pp. 3013-3021. Date of Electronic Publication: 2017 Aug 17. - Publication Year :
- 2017
-
Abstract
- Obstructive sleep apnea (OSA) occurs at a high prevalence in patients with Down syndrome (DS). A polysomnogram, which is often cumbersome and challenging, remains the gold standard method of diagnosing OSA. OSA in patients with DS is often attributed to skeletal and soft-tissue structural alterations that are characteristic of the DS phenotype; as such, we hypothesized that assessing anthropometric facial measurements may be predictive of OSA in patients with DS. We used the 3dMDface sterophotography system to capture and create 3D facial images, and we subsequently identified facial landmarks using a single, experienced investigator and utilizing proprietary software to calculate inter-landmark distances and angles. We compared our findings with similar data for neurotypically developing participants. We further compared the findings in participants with DS with and without OSA. Participants with DS had maxillomandibular hypoplasia with smaller ear, nose, and eye measurements compared to neurotypically developing peers. We found no statistically significant differences in 3D photogrammetric measurements between participants with DS with or without OSA.<br /> (© 2017 Wiley Periodicals, Inc.)
- Subjects :
- Down Syndrome complications
Down Syndrome physiopathology
Female
Humans
Male
Phenotype
Polysomnography
Severity of Illness Index
Sleep Apnea, Obstructive diagnostic imaging
Down Syndrome diagnostic imaging
Face anatomy & histology
Imaging, Three-Dimensional methods
Sleep Apnea, Obstructive physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1552-4833
- Volume :
- 173
- Issue :
- 11
- Database :
- MEDLINE
- Journal :
- American journal of medical genetics. Part A
- Publication Type :
- Academic Journal
- Accession number :
- 28815893
- Full Text :
- https://doi.org/10.1002/ajmg.a.38399