Literature DB >> 29462843

Three-dimensional photography for the evaluation of facial profiles in obstructive sleep apnoea.

Shih-Wei Lin1, Kate Sutherland2,3, Yu-Fang Liao4, Peter A Cistulli2,3, Li-Pang Chuang1, Yu-Ting Chou5, Chih-Hao Chang1, Chung-Shu Lee1, Li-Fu Li1, Ning-Hung Chen1,6.   

Abstract

BACKGROUND AND
OBJECTIVE: Craniofacial structure is an important determinant of obstructive sleep apnoea (OSA) syndrome risk. Three-dimensional stereo-photogrammetry (3dMD) is a novel technique which allows quantification of the craniofacial profile. This study compares the facial images of OSA patients captured by 3dMD to three-dimensional computed tomography (3-D CT) and two-dimensional (2-D) digital photogrammetry. Measurements were correlated with indices of OSA severity.
METHODS: Thirty-eight patients diagnosed with OSA were included, and digital photogrammetry, 3dMD and 3-D CT were performed. Distances, areas, angles and volumes from the images captured by three methods were analysed.
RESULTS: Almost all measurements captured by 3dMD showed strong agreement with 3-D CT measurements. Results from 2-D digital photogrammetry showed poor agreement with 3-D CT. Mandibular width, neck perimeter size and maxillary volume measurements correlated well with the severity of OSA using all three imaging methods. Mandibular length, facial width, binocular width, neck width, cranial base triangle area, cranial base area 1 and middle cranial fossa volume correlated well with OSA severity using 3dMD and 3-D CT, but not with 2-D digital photogrammetry.
CONCLUSION: 3dMD provided accurate craniofacial measurements of OSA patients, which were highly concordant with those obtained by CT, while avoiding the radiation associated with CT.
© 2018 Asian Pacific Society of Respirology.

Entities:  

Keywords:  craniofacial profile; obstructive sleep apnoea syndrome; three-dimensional computed tomography; three-dimensional stereo-photogrammetry; two-dimensional digital photogrammetry

Mesh:

Year:  2018        PMID: 29462843     DOI: 10.1111/resp.13261

Source DB:  PubMed          Journal:  Respirology        ISSN: 1323-7799            Impact factor:   6.424


  4 in total

1.  Parsing the craniofacial phenotype: effect of weight change in an obstructive sleep apnoea population.

Authors:  Kate Sutherland; Julia L Chapman; Elizabeth A Cayanan; Aimee B Lowth; Keith K H Wong; Brendon J Yee; Ronald R Grunstein; Nathaniel S Marshall; Peter A Cistulli
Journal:  Sleep Breath       Date:  2019-03-29       Impact factor: 2.816

2.  Predicting sleep apnea from three-dimensional face photography.

Authors:  Peter Eastwood; Syed Zulqarnain Gilani; Nigel McArdle; David Hillman; Jennifer Walsh; Kathleen Maddison; Mithran Goonewardene; Ajmal Mian
Journal:  J Clin Sleep Med       Date:  2020-04-15       Impact factor: 4.062

3.  Orthodontic interventions as a management option for children with residual obstructive sleep apnea: a cohort study protocol.

Authors:  Nathalia Carolina Fernandes Fagundes; Arnaldo Perez-Garcia; Daniel Graf; Carlos Flores-Mir; Giseon Heo
Journal:  BMJ Open       Date:  2022-06-15       Impact factor: 3.006

4.  Workflow to develop 3D designed personalized neonatal CPAP masks using iPhone structured light facial scanning.

Authors:  Amika A Kamath; Marielle J Kamath; Selin Ekici; Anna Sofia Stans; Christopher E Colby; Jane M Matsumoto; Mark E Wylam
Journal:  3D Print Med       Date:  2022-08-01
  4 in total

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