Computational Modeling of Airway Obstruction in Sleep Apnea in Down Syndrome: A Feasibility Study

Goutham Mylavarapu, Dhananjay Subramaniam, Raghuvir Jonnagiri, Ephraim J. Gutmark, Robert J. Fleck, Raouf S. Amin, Mohamed Mahmoud, Stacey L. Ishman, Sally R. Shott

Research output: Contribution to journalArticle

Abstract

Current treatment options are successful in 40% to 60% of children with persistent obstructive sleep apnea after adenotonsillectomy. Residual obstruction assessments are largely subjective and do not clearly define multilevel obstruction. We endeavor to use computational fluid dynamics to perform virtual surgery and assess airflow changes in patients with Down syndrome and persistent obstructive sleep apnea. Three-dimensional airway models were reconstructed from respiratory-gated computed tomography and magnetic resonance imaging. Virtual surgeries were performed on 10 patients, mirroring actual surgeries. They demonstrated how surgical changes affect airflow resistance. Airflow and upper airway resistance was calculated from computational fluid dynamics. Virtual and actual surgery outcomes were compared with obstructive apnea-hypopnea index values. Actual surgery successfully treated 6 of 10 patients (postoperative obstructive apnea-hypopnea index

Original languageEnglish (US)
Pages (from-to)184-187
Number of pages4
JournalOtolaryngology - Head and Neck Surgery
Volume155
Issue number1
DOIs
StatePublished - Jul 1 2016
Externally publishedYes

Fingerprint

Sleep Apnea Syndromes
Feasibility Studies
Airway Obstruction
Down Syndrome
Obstructive Sleep Apnea
Apnea
Hydrodynamics
Airway Resistance
Tomography
Magnetic Resonance Imaging

Keywords

  • airway modeling
  • computational fluid dynamics
  • Down syndrome
  • obstructive sleep apnea
  • virtual surgery

ASJC Scopus subject areas

  • Otorhinolaryngology
  • Surgery

Cite this

Mylavarapu, G., Subramaniam, D., Jonnagiri, R., Gutmark, E. J., Fleck, R. J., Amin, R. S., ... Shott, S. R. (2016). Computational Modeling of Airway Obstruction in Sleep Apnea in Down Syndrome: A Feasibility Study. Otolaryngology - Head and Neck Surgery, 155(1), 184-187. https://doi.org/10.1177/0194599816639544

Computational Modeling of Airway Obstruction in Sleep Apnea in Down Syndrome : A Feasibility Study. / Mylavarapu, Goutham; Subramaniam, Dhananjay; Jonnagiri, Raghuvir; Gutmark, Ephraim J.; Fleck, Robert J.; Amin, Raouf S.; Mahmoud, Mohamed; Ishman, Stacey L.; Shott, Sally R.

In: Otolaryngology - Head and Neck Surgery, Vol. 155, No. 1, 01.07.2016, p. 184-187.

Research output: Contribution to journalArticle

Mylavarapu, G, Subramaniam, D, Jonnagiri, R, Gutmark, EJ, Fleck, RJ, Amin, RS, Mahmoud, M, Ishman, SL & Shott, SR 2016, 'Computational Modeling of Airway Obstruction in Sleep Apnea in Down Syndrome: A Feasibility Study', Otolaryngology - Head and Neck Surgery, vol. 155, no. 1, pp. 184-187. https://doi.org/10.1177/0194599816639544
Mylavarapu, Goutham ; Subramaniam, Dhananjay ; Jonnagiri, Raghuvir ; Gutmark, Ephraim J. ; Fleck, Robert J. ; Amin, Raouf S. ; Mahmoud, Mohamed ; Ishman, Stacey L. ; Shott, Sally R. / Computational Modeling of Airway Obstruction in Sleep Apnea in Down Syndrome : A Feasibility Study. In: Otolaryngology - Head and Neck Surgery. 2016 ; Vol. 155, No. 1. pp. 184-187.
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