Literature DB >> 26314989

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

Dhananjay Radhakrishnan Subramaniam1, Goutham Mylavarapu1, Keith McConnell2, Robert J Fleck3, Sally R Shott4, Raouf S Amin5,6, Ephraim J Gutmark7,8.   

Abstract

Elasticity of the soft tissues surrounding the upper airway lumen is one of the important factors contributing to upper airway disorders such as snoring and obstructive sleep apnea. The objective of this study is to calculate patient specific elasticity of the pharynx from magnetic resonance (MR) images using a 'tube law', i.e., the relationship between airway cross-sectional area and transmural pressure difference. MR imaging was performed under anesthesia in children with Down syndrome (DS) and obstructive sleep apnea (OSA). An airway segmentation algorithm was employed to evaluate changes in airway cross-sectional area dilated by continuous positive airway pressure (CPAP). A pressure-area relation was used to make localized estimates of airway wall stiffness for each patient. Optimized values of patient specific Young's modulus for tissue in the velopharynx and oropharynx, were estimated from finite element simulations of airway collapse. Patient specific deformation of the airway wall under CPAP was found to exhibit either a non-linear 'hardening' or 'softening' behavior. The localized airway and tissue elasticity were found to increase with increasing severity of OSA. Elasticity based patient phenotyping can potentially assist clinicians in decision making on CPAP and airway or tissue elasticity can supplement well-known clinical measures of OSA severity.

Entities:  

Keywords:  CPAP; Elastic modulus; Finite element analysis; MRI; OSA; Tube law

Mesh:

Year:  2015        PMID: 26314989      PMCID: PMC5892827          DOI: 10.1007/s10439-015-1430-4

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  50 in total

1.  Upper airway extraluminal tissue pressure fluctuations during breathing in rabbits.

Authors:  Kristina Kairaitis; Radha Parikh; Rosie Stavrinou; Sarah Garlick; Jason P Kirkness; John R Wheatley; Terence C Amis
Journal:  J Appl Physiol (1985)       Date:  2003-06-27

2.  Passive movement of human soft palate during respiration: A simulation of 3D fluid/structure interaction.

Authors:  Jian Hua Zhu; Heow Pueh Lee; Kian Meng Lim; Shu Jin Lee; Li San Lynette Teo; De Yun Wang
Journal:  J Biomech       Date:  2012-05-31       Impact factor: 2.712

3.  Assessment of obstructive sleep apnea and its severity during wakefulness.

Authors:  Aman Montazeri; Eleni Giannouli; Zahra Moussavi
Journal:  Ann Biomed Eng       Date:  2011-11-09       Impact factor: 3.934

4.  A numerical and experimental study of compliance and collapsibility of preterm lamb tracheae.

Authors:  M L Costantino; P Bagnoli; G Dini; G B Fiore; M Soncini; C Corno; F Acocella; R Colombi
Journal:  J Biomech       Date:  2004-12       Impact factor: 2.712

5.  Viscoelastic properties of the tongue and soft palate using MR elastography.

Authors:  S Cheng; S C Gandevia; M Green; R Sinkus; L E Bilston
Journal:  J Biomech       Date:  2010-10-30       Impact factor: 2.712

6.  Study on tracheal collapsibility, compliance, and stress by considering nonlinear mechanical property of cartilage.

Authors:  Zhongzhao Teng; Ignacio Ochoa; Zhiyong Li; Zijie Liao; Yihan Lin; Manuel Doblare
Journal:  Ann Biomed Eng       Date:  2009-07-31       Impact factor: 3.934

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

Authors:  Mihai Mihaescu; Shanmugam Murugappan; Ephraim Gutmark; Lane F Donnelly; Siddarth Khosla; Maninder Kalra
Journal:  Ann Otol Rhinol Laryngol       Date:  2008-04       Impact factor: 1.547

8.  Mandibular advancement decreases pressures in the tissues surrounding the upper airway in rabbits.

Authors:  Kristina Kairaitis; Rosie Stavrinou; Radha Parikh; John R Wheatley; Terence C Amis
Journal:  J Appl Physiol (1985)       Date:  2005-08-25

9.  Computational fluid dynamics endpoints to characterize obstructive sleep apnea syndrome in children.

Authors:  David M Wootton; Haiyan Luo; Steven C Persak; Sanghun Sin; Joseph M McDonough; Carmen R Isasi; Raanan Arens
Journal:  J Appl Physiol (1985)       Date:  2013-11-21

10.  Static mechanics of the velopharynx of patients with obstructive sleep apnea.

Authors:  S Isono; D L Morrison; S H Launois; T R Feroah; W A Whitelaw; J E Remmers
Journal:  J Appl Physiol (1985)       Date:  1993-07
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  5 in total

1.  Biomechanics of the soft-palate in sleep apnea patients with polycystic ovarian syndrome.

Authors:  Dhananjay Radhakrishnan Subramaniam; Raanan Arens; Mark E Wagshul; Sanghun Sin; David M Wootton; Ephraim J Gutmark
Journal:  J Biomech       Date:  2018-05-17       Impact factor: 2.712

2.  The Role of Functional Respiratory Imaging in Treatment Selection of Children With Obstructive Sleep Apnea and Down Syndrome.

Authors:  Monique A L J Slaats; Dieter Loterman; Cedric van Holsbeke; Wim Vos; Kim Van Hoorenbeeck; Jan de Backer; Wilfried de Backer; Marek Wojciechowski; An Boudewyns; Stijn Verhulst
Journal:  J Clin Sleep Med       Date:  2018-04-15       Impact factor: 4.062

3.  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

4.  Clinical application of MRI-respiratory gating technology in the evaluation of children with obstructive sleep apnea hypopnea syndrome.

Authors:  Guohui Zeng; Yaoshu Teng; Jin Zhu; Darong Zhu; Bin Yang; Linping Hu; Manman Chen; Xiao Fu
Journal:  Medicine (Baltimore)       Date:  2018-01       Impact factor: 1.889

Review 5.  Critical to Know Pcrit: A Review on Pharyngeal Critical Closing Pressure in Obstructive Sleep Apnea.

Authors:  Elahe Kazemeini; Eli Van de Perck; Marijke Dieltjens; Marc Willemen; Johan Verbraecken; Sara Op de Beeck; Olivier M Vanderveken
Journal:  Front Neurol       Date:  2022-02-22       Impact factor: 4.003

  5 in total

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