Literature DB >> 18478841

Computational fluid dynamics analysis of upper airway reconstructed from magnetic resonance imaging data.

Mihai Mihaescu1, Shanmugam Murugappan, Ephraim Gutmark, Lane F Donnelly, Siddarth Khosla, Maninder Kalra.   

Abstract

OBJECTIVES: We performed flow computations on an accurate upper airway model in a patient with obstructive sleep apnea and computed the velocity, static pressure, and wall shear stress distribution in the model.
METHODS: Cartesian coordinates for airway boundaries were determined from cross-sectional magnetic resonance images, and a 3-dimensional computational model of the upper airway was constructed. Flow simulations were then performed within a FLUENT commercial software framework. Four different flow conditions were simulated during inspiration, assuming the steady-state condition. The results were analyzed from the perspectives of velocity, static pressure, and wall shear stress distribution.
RESULTS: We observed that the highest axial velocity was at the site of minimum cross-sectional area (retropalatal pharynx) resulting in the lowest level of wall static pressure. The highest wall shear stresses were at the same location. The pressure drop was significantly larger for higher flow rates than for lower flow rates.
CONCLUSIONS: Our results indicate that the presence of airway narrowing, through change in the flow characteristics that result in increased flow velocity and reduced static pressure, can itself increase airway collapsibility. Additionally, the effects of wall shear stress on airway walls may be an important factor in the progression over time of the severity of obstructive sleep apnea.

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Year:  2008        PMID: 18478841     DOI: 10.1177/000348940811700411

Source DB:  PubMed          Journal:  Ann Otol Rhinol Laryngol        ISSN: 0003-4894            Impact factor:   1.547


  7 in total

1.  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

2.  Dynamic Volume Computed Tomography Imaging of the Upper Airway in Obstructive Sleep Apnea.

Authors:  Robert J Fleck; Stacey L Ishman; Sally R Shott; Ephraim J Gutmark; Keith B McConnell; Mohamed Mahmoud; Goutham Mylavarapu; Dhananjay R Subramaniam; Rhonda Szczesniak; Raouf S Amin
Journal:  J Clin Sleep Med       Date:  2017-02-15       Impact factor: 4.062

3.  Patterns in pharyngeal airflow associated with sleep-disordered breathing.

Authors:  Nelson B Powell; Mihai Mihaescu; Goutham Mylavarapu; Edward M Weaver; Christian Guilleminault; Ephraim Gutmark
Journal:  Sleep Med       Date:  2011-10-28       Impact factor: 3.492

4.  Predicting critical closing pressure in children with obstructive sleep apnea using fluid-structure interaction.

Authors:  Goutham Mylavarapu; Ephraim Gutmark; Sally Shott; Robert Fleck; Mohamed Mahmoud; Keith McConnell; Rhonda Szczesniak; Md Monir Hossain; Guixia Huang; Dawit G Tadesse; Christine L Schuler; Sid Khosla; Raouf Amin
Journal:  J Appl Physiol (1985)       Date:  2021-09-16

5.  Computational fluid dynamics analysis of the upper airway after rapid maxillary expansion: a case report.

Authors:  Ahmed Ghoneima; Sahar AlBarakati; Feifei Jiang; Katherine Kula; Tamer Wasfy
Journal:  Prog Orthod       Date:  2015-05-24       Impact factor: 2.750

6.  A Method for Accurate Reconstructions of the Upper Airway Using Magnetic Resonance Images.

Authors:  Huahui Xiong; Xiaoqing Huang; Yong Li; Jianhong Li; Junfang Xian; Yaqi Huang
Journal:  PLoS One       Date:  2015-06-11       Impact factor: 3.240

7.  Upper Airway Flow Dynamics in Obstructive Sleep Apnea Patients with Various Apnea-Hypopnea Index.

Authors:  Shengmao Lin; Thyagaseely Sheela Premaraj; Peshala T Gamage; Pengfei Dong; Sundaralingam Premaraj; Linxia Gu
Journal:  Life (Basel)       Date:  2022-07-19
  7 in total

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