Literature DB >> 21700289

Large eddy simulation of the pharyngeal airflow associated with obstructive sleep apnea syndrome at pre and post-surgical treatment.

Mihai Mihaescu1, Goutham Mylavarapu, Ephraim J Gutmark, Nelson B Powell.   

Abstract

Obstructive Sleep Apnea Syndrome (OSAS) is the most common sleep-disordered breathing medical condition and a potentially life-threatening affliction. Not all the surgical or non-surgical OSAS therapies are successful for each patient, also in part because the primary factors involved in the etiology of this disorder are not completely understood. Thus, there is a need for improving both diagnostic and treatment modalities associated with OSAS. A verified and validated (in terms of mean velocity and pressure fields) Large Eddy Simulation approach is used to characterize the abnormal pharyngeal airflow associated with severe OSAS and its interaction with the airway wall in a subject who underwent surgical treatment. The analysis of the unsteady flow at pre- and post-treatment is used to illustrate the airflow dynamics in the airway associated with OSAS and to reveal as well, the changes in the flow variables after the treatment. At pre-treatment, large airflow velocity and wall shear stress values were found at the obstruction site in all cases. Downstream of obstruction, flow separation generated flow recirculation regions and enhanced the turbulence production in the jet-like shear layers. The interaction between the generated vortical structures and the pharyngeal airway wall induced large fluctuations in the pressure forces acting on the pharyngeal wall. After the surgery, the flow field instabilities vanished and both airway resistance and wall shear stress values were significantly reduced.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21700289     DOI: 10.1016/j.jbiomech.2011.06.006

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  16 in total

1.  Numerical simulation of pharyngeal airflow applied to obstructive sleep apnea: effect of the nasal cavity in anatomically accurate airway models.

Authors:  Julien Cisonni; Anthony D Lucey; Andrew J C King; Syed Mohammed Shamsul Islam; Richard Lewis; Mithran S Goonewardene
Journal:  Med Biol Eng Comput       Date:  2015-10-01       Impact factor: 2.602

2.  Upper Airway Elasticity Estimation in Pediatric Down Syndrome Sleep Apnea Patients Using Collapsible Tube Theory.

Authors:  Dhananjay Radhakrishnan Subramaniam; Goutham Mylavarapu; Keith McConnell; Robert J Fleck; Sally R Shott; Raouf S Amin; Ephraim J Gutmark
Journal:  Ann Biomed Eng       Date:  2015-08-28       Impact factor: 3.934

3.  Computational study of false vocal folds effects on unsteady airflows through static models of the human larynx.

Authors:  Charles Farbos de Luzan; Jie Chen; Mihai Mihaescu; Sid M Khosla; Ephraim Gutmark
Journal:  J Biomech       Date:  2015-03-19       Impact factor: 2.712

4.  Effects of CT resolution and radiodensity threshold on the CFD evaluation of nasal airflow.

Authors:  Maurizio Quadrio; Carlotta Pipolo; Stefano Corti; Francesco Messina; Chiara Pesci; Alberto M Saibene; Samuele Zampini; Giovanni Felisati
Journal:  Med Biol Eng Comput       Date:  2015-06-10       Impact factor: 2.602

5.  Modeling the pharyngeal anatomical effects on breathing resistance and aerodynamically generated sound.

Authors:  Jinxiang Xi; Xiuhua Si; JongWon Kim; Guoguang Su; Haibo Dong
Journal:  Med Biol Eng Comput       Date:  2014-05-10       Impact factor: 2.602

6.  Analyses of aerodynamic characteristics of the oropharynx applying CBCT: obstructive sleep apnea patients versus control subjects.

Authors:  Hui Chen; Yingguang Li; Johan Hc Reiber; Jan de Lange; Shengxian Tu; Paul van der Stelt; Frank Lobbezoo; Ghizlane Aarab
Journal:  Dentomaxillofac Radiol       Date:  2018-01-02       Impact factor: 2.419

7.  Assessment of Surgical Effects on Patients with Obstructive Sleep Apnea Syndrome Using Computational Fluid Dynamics Simulations.

Authors:  Gary C Cheng; Roy P Koomullil; Yasushi Ito; Alan M Shih; Somsak Sittitavornwong; Peter D Waite
Journal:  Math Comput Simul       Date:  2014-12-01       Impact factor: 2.463

8.  Compliance Measurements of the Upper Airway in Pediatric Down Syndrome Sleep Apnea Patients.

Authors:  Dhananjay Radhakrishnan Subramaniam; Goutham Mylavarapu; Keith McConnell; Robert J Fleck; Sally R Shott; Raouf S Amin; Ephraim J Gutmark
Journal:  Ann Biomed Eng       Date:  2015-07-28       Impact factor: 3.934

9.  Numerical study of dynamic glottis and tidal breathing on respiratory sounds in a human upper airway model.

Authors:  Jinxiang Xi; Zhaoxuan Wang; Khaled Talaat; Carri Glide-Hurst; Haibo Dong
Journal:  Sleep Breath       Date:  2017-11-03       Impact factor: 2.816

10.  Videoendoscopic diagnosis for predicting the response to oral appliance therapy in severe obstructive sleep apnea.

Authors:  Yasuhiro Sasao; Kanji Nohara; Kentaro Okuno; Yuki Nakamura; Takayoshi Sakai
Journal:  Sleep Breath       Date:  2014-02-15       Impact factor: 2.816

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