Association between nasal airway minimal cross-sectional areas and obstructive sleep apnoea.

cone beam computed tomography cross-sectional area nasal cavity obstructive sleep apnoea three-dimensional imaging

Journal

European journal of orthodontics
ISSN: 1460-2210
Titre abrégé: Eur J Orthod
Pays: England
ID NLM: 7909010

Informations de publication

Date de publication:
30 Nov 2023
Historique:
medline: 1 12 2023
pubmed: 8 8 2023
entrez: 8 8 2023
Statut: ppublish

Résumé

Patients with obstructive sleep apnoea (OSA) frequently present with some form of upper airway anatomical impairment. Considerable research has been conducted on the role of the structures of the jaw and pharynx in the pathogenesis of OSA; however, the significance of the nose is somewhat unclear. Computed tomography is a widely used imaging modality for assessing the nasal cavity and paranasal sinuses, but only a small amount of the acquired data is used. Our aim was to ascertain whether the size of the cross-sectional areas of the nasal airway, measured from cone beam computed tomography (CBCT) images, is associated with OSA severity. A total of 58 patients with OSA, without any major paranasal sinus inflammatory pathology, were included in this register-based study. Patients had previously undergone ambulatory polysomnography and CBCT. The cross-sectional areas of the nasal cavity were measured in CBCT coronal sections. Statistical analyses were performed to determine any correlation between the cross-sectional area measurements and apnoea-hypopnoea index (AHI) or any significant difference in cross-sectional areas between AHI severity groups. No correlation was found between AHI and the smallest, total, or sum of the anterior cross-sectional areas of the nasal airway. Furthermore, there was no statistically significant difference in the cross-sectional areas between patients with the highest and lowest AHI. The small cross-sectional area of the anterior nasal cavity in patients without any major nasal pathology does not appear to be associated with OSA severity.

Sections du résumé

BACKGROUND/OBJECTIVES OBJECTIVE
Patients with obstructive sleep apnoea (OSA) frequently present with some form of upper airway anatomical impairment. Considerable research has been conducted on the role of the structures of the jaw and pharynx in the pathogenesis of OSA; however, the significance of the nose is somewhat unclear. Computed tomography is a widely used imaging modality for assessing the nasal cavity and paranasal sinuses, but only a small amount of the acquired data is used. Our aim was to ascertain whether the size of the cross-sectional areas of the nasal airway, measured from cone beam computed tomography (CBCT) images, is associated with OSA severity.
MATERIALS/METHODS METHODS
A total of 58 patients with OSA, without any major paranasal sinus inflammatory pathology, were included in this register-based study. Patients had previously undergone ambulatory polysomnography and CBCT. The cross-sectional areas of the nasal cavity were measured in CBCT coronal sections. Statistical analyses were performed to determine any correlation between the cross-sectional area measurements and apnoea-hypopnoea index (AHI) or any significant difference in cross-sectional areas between AHI severity groups.
RESULTS RESULTS
No correlation was found between AHI and the smallest, total, or sum of the anterior cross-sectional areas of the nasal airway. Furthermore, there was no statistically significant difference in the cross-sectional areas between patients with the highest and lowest AHI.
CONCLUSIONS/IMPLICATIONS CONCLUSIONS
The small cross-sectional area of the anterior nasal cavity in patients without any major nasal pathology does not appear to be associated with OSA severity.

Identifiants

pubmed: 37552074
pii: 7238853
doi: 10.1093/ejo/cjad041
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

788-794

Subventions

Organisme : innish Otorhinolaryngology - Head and Neck Surgery Foundation
Organisme : Innish Otorhinolaryngology - Head and Neck Surgery Foundation

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the European Orthodontic Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Jessi Makkonen (J)

Department of Otorhinolaryngology-Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Olli Tertti (O)

Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Markus Rautiainen (M)

Department of Otorhinolaryngology-Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Saara Markkanen (S)

Department of Otorhinolaryngology-Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Olli Valtonen (O)

Department of Otorhinolaryngology-Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Jaakko Ormiskangas (J)

Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Faculty of Engineering and Natural Sciences, Automation Technology and Mechanical Engineering Unit, Tampere University, Tampere, Finland.

Ilkka Kivekäs (I)

Department of Otorhinolaryngology-Head and Neck Surgery, Tampere University Hospital, Tampere, Finland.
Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.

Timo Peltomäki (T)

Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Department of Oral and Maxillofacial Diseases, Tampere University Hospital, Tampere, Finland.
Department of Oral and Maxillofacial Diseases, Kuopio University Hospital, Kuopio, Finland.
Faculty of Health Sciences, Institute of Dentistry, University of Eastern Finland, Kuopio, Finland.

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Classifications MeSH