Literature DB >> 23686418

The effect of geniglossal advancement on airway flow using a computational flow dynamics model.

Aaron Fletcher1, Jiwoong Choi, Maged Awadalla, Andrea E Potash, Tanner J Wallen, Steven Fletcher, Eugene H Chang.   

Abstract

OBJECTIVES/HYPOTHESIS: Obstructive sleep apnea (OSA) is a sleep disorder caused by partial or complete collapse of the pharyngeal airway. Genioglossal advancement (GGA) is a well-tolerated surgical procedure intended to address hypopharyngeal collapse, yet there are few studies that monitor changes in airflow dynamics at this site. Computation fluid dynamics (CFD) utilizes airflow simulation to predict changes in airflow after anatomic manipulation. STUDY
DESIGN: We investigated the change in volume and airflow dynamics of the pharyngeal airway after GGA in a cadaveric model.
METHODS: We performed serial GGA from 1 mm (control) to 3, 7, and 9 mm on a lightly preserved cadaver. After each intervention, we performed high-resolution computed tomography scans, reconstructed the pharyngeal airway, and quantified airspace volume and CFD analysis with both laminar and large eddy simulation models.
RESULTS: Airway volume increased with linear GGA. In both CFD simulation models, velocity increased and pressure decreased after 9-mm advancement secondary to increased airway diameter and less abrupt changes in airway geometry.
CONCLUSIONS: These results suggest that GGA may be effective in increasing airway volume and flow to address hypopharyngeal obstruction in OSA.
Copyright © 2013 The American Laryngological, Rhinological and Otological Society, Inc.

Entities:  

Keywords:  Obstructive sleep apnea; computational flow dynamics; genioglossal advancement

Mesh:

Year:  2013        PMID: 23686418      PMCID: PMC3783525          DOI: 10.1002/lary.24203

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  22 in total

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2.  Cephalometric predictors of therapeutic response to multilevel surgery in patients with obstructive sleep apnea.

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3.  Patient selection and surgical results in obstructive sleep apnea.

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4.  Surgical treatment for obstructive sleep apnoea.

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Review 8.  Hypopharyngeal surgery in obstructive sleep apnea: an evidence-based medicine review.

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9.  Functional imaging using computational fluid dynamics to predict treatment success of mandibular advancement devices in sleep-disordered breathing.

Authors:  J W De Backer; O M Vanderveken; W G Vos; A Devolder; S L Verhulst; J A Verbraecken; P M Parizel; M J Braem; P H Van de Heyning; W A De Backer
Journal:  J Biomech       Date:  2007-07-30       Impact factor: 2.712

10.  Computational modeling of upper airway before and after adenotonsillectomy for obstructive sleep apnea.

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1.  A preoperative predictive study of advantages of airway changes after maxillomandibular advancement surgery using computational fluid dynamics analysis.

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