Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Computational Modeling of Upper Airway Before and After Adenotonsillectomy for Obstructive Sleep Apnea
Aerospace Engineering, University of Cincinnati.ORCID iD: 0000-0001-7330-6965
Otolargyngology, Head and Neck Surgery, University of Cincinnati-Medical Center.
Aerospace Engineering, University of Cincinnati.
Cincinnati Children's Hospital.
Show others and affiliations
2008 (English)In: The Laryngoscope, ISSN 0023-852X, E-ISSN 1531-4995, Vol. 118, no 2, 360-362 p.Article in journal (Refereed) Published
Abstract [en]

Adenotonsillectomy, the first-line surgical treatment for obstructive sleep apnea (OSA) in children, is successful in only 50% of obese children. Computational fluid dynamics tools, which have been applied to differentiate OSA patients from those without OSA based on the airway flow characteristics, can be potentially used to identify patients likely to benefit from surgical intervention. We present computational modeling of the upper airway before and after adenotonsillectomy in an obese female adolescent with OSA. The subject underwent upper airway imaging on a 1.5 Tesla magnetic resonance imaging (MRI) scanner, and three-dimensional airway models were constructed using airway boundary coordinates from cross-sectional MRI scans. Our results using computational simulations indicate that, in an obese child, the resolution of OSA after adenotonsillectomy is associated with changes in flow characteristics that result in decreased pressure differentials across the airway walls and thus lower compressive forces that predispose to airway collapse. Application of such findings to an obese child seeking surgical treatment for OSA can potentially lead to selection of the surgical procedure most likely to result in OSA resolution. Effective intervention for OSA in this high-risk group will result in reduction in morbidity and the public health concerns associated with OSA.

Place, publisher, year, edition, pages
2008. Vol. 118, no 2, 360-362 p.
Keyword [en]
computational modeling, adenotonsillectomy, obstructive sleep apnea
National Category
Fluid Mechanics and Acoustics Medical Image Processing Surgery Respiratory Medicine and Allergy
Identifiers
URN: urn:nbn:se:kth:diva-47896DOI: 10.1097/MLG.0b013e31815937c1ISI: 000260661500032PubMedID: 18043493OAI: oai:DiVA.org:kth-47896DiVA: diva2:456556
Note
QC 20111115Available from: 2011-11-15 Created: 2011-11-15 Last updated: 2017-12-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Authority records BETA

Mihaescu, Mihai

Search in DiVA

By author/editor
Mihaescu, Mihai
In the same journal
The Laryngoscope
Fluid Mechanics and AcousticsMedical Image ProcessingSurgeryRespiratory Medicine and Allergy

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 60 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf