Literature DB >> 23904272

Coupled and reduced dimensional modeling of respiratory mechanics during spontaneous breathing.

M Ismail1, A Comerford, W A Wall.   

Abstract

In this paper, we develop a total lung model based on a tree of 0D airway and acinar models for studying respiratory mechanics during spontaneous breathing. This model utilizes both computer tomography-based geometries and artificially generated lobe-filling airway trees to model the entire conducting region of the lung. Beyond the conducting airways, we develop an acinar model, which takes into account the alveolar tissue resistance, compliance, and the intrapleural pressure. With this methodology, we compare four different 0D models of airway mechanics and determine the best model based on a comparison with a 3D-0D coupled model of the conducting airways; this methodology is possible because the majority of airway resistance is confined to the lower generations, that is, the trachea and the first few bronchial generations. As an example application of the model, we simulate the flow and pressure dynamics under spontaneous breathing conditions, that is, at flow conditions driven purely by pleural space pressure. The results show good agreement, both qualitatively and quantitatively, with reported physiological values. One of the key advantages of this model is the ability to provide insight into lung ventilation in the peripheral regions. This is often crucial because this is where information, specifically for studying diseases and gas exchange, is needed. Thus, the model can be used as a tool for better understanding local peripheral lung mechanics without excluding the upper portions of the lung. This tool will be also useful for in vitro investigations of lung mechanics in both health and disease.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Respiratory mechanics; coupled 3D-0D models; entire lung simulation; reduced dimensional modeling; spontaneous breathing; zero dimensional acini; zero dimensional airways

Mesh:

Year:  2013        PMID: 23904272     DOI: 10.1002/cnm.2577

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  7 in total

1.  Contributions of Kinetic Energy and Viscous Dissipation to Airway Resistance in Pulmonary Inspiratory and Expiratory Airflows in Successive Symmetric Airway Models With Various Bifurcation Angles.

Authors:  Sanghun Choi; Jiwoong Choi; Ching-Long Lin
Journal:  J Biomech Eng       Date:  2018-01-01       Impact factor: 2.097

Review 2.  Computational lung modelling in respiratory medicine.

Authors:  Sunder Neelakantan; Yi Xin; Donald P Gaver; Maurizio Cereda; Rahim Rizi; Bradford J Smith; Reza Avazmohammadi
Journal:  J R Soc Interface       Date:  2022-06-08       Impact factor: 4.293

3.  1D network simulations for evaluating regional flow and pressure distributions in healthy and asthmatic human lungs.

Authors:  Sanghun Choi; Sujin Yoon; Jichan Jeon; Chunrui Zou; Jiwoong Choi; Merryn H Tawhai; Eric A Hoffman; Renishkumar Delvadia; Andrew Babiskin; Ross Walenga; Ching-Long Lin
Journal:  J Appl Physiol (1985)       Date:  2019-05-16

4.  Computational modeling of the obstructive lung diseases asthma and COPD.

Authors:  Kelly Suzanne Burrowes; Tom Doel; Chris Brightling
Journal:  J Transl Med       Date:  2014-11-28       Impact factor: 5.531

5.  Towards a multi-scale computer modeling workflow for simulation of pulmonary ventilation in advanced COVID-19.

Authors:  Shea Middleton; Elizabeth Dimbath; Anup Pant; Stephanie M George; Veeranna Maddipati; M Sean Peach; Kaida Yang; Andrew W Ju; Ali Vahdati
Journal:  Comput Biol Med       Date:  2022-04-12       Impact factor: 6.698

6.  Fluid dynamic assessment of positive end-expiratory pressure in a tracheostomy tube connector during respiration.

Authors:  Shiori Kageyama; Naoki Takeishi; Hiroki Taenaka; Takeshi Yoshida; Shigeo Wada
Journal:  Med Biol Eng Comput       Date:  2022-08-25       Impact factor: 3.079

7.  Development and Analysis of Patient-Based Complete Conducting Airways Models.

Authors:  Rafel Bordas; Christophe Lefevre; Bart Veeckmans; Joe Pitt-Francis; Catalin Fetita; Christopher E Brightling; David Kay; Salman Siddiqui; Kelly S Burrowes
Journal:  PLoS One       Date:  2015-12-11       Impact factor: 3.240

  7 in total

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