Cargando…
Computational fluid dynamics modelling of human upper airway: A review
BACKGROUND AND OBJECTIVE: Human upper airway (HUA) has been widely investigated by many researchers covering various aspects, such as the effects of geometrical parameters on the pressure, velocity and airflow characteristics. Clinically significant obstruction can develop anywhere throughout the up...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318976/ https://www.ncbi.nlm.nih.gov/pubmed/32629222 http://dx.doi.org/10.1016/j.cmpb.2020.105627 |
_version_ | 1783550968957239296 |
---|---|
author | Faizal, W.M. Ghazali, N.N.N. Khor, C.Y. Badruddin, Irfan Anjum Zainon, M.Z. Yazid, Aznijar Ahmad Ibrahim, Norliza Binti Razi, Roziana Mohd |
author_facet | Faizal, W.M. Ghazali, N.N.N. Khor, C.Y. Badruddin, Irfan Anjum Zainon, M.Z. Yazid, Aznijar Ahmad Ibrahim, Norliza Binti Razi, Roziana Mohd |
author_sort | Faizal, W.M. |
collection | PubMed |
description | BACKGROUND AND OBJECTIVE: Human upper airway (HUA) has been widely investigated by many researchers covering various aspects, such as the effects of geometrical parameters on the pressure, velocity and airflow characteristics. Clinically significant obstruction can develop anywhere throughout the upper airway, leading to asphyxia and death; this is where recognition and treatment are essential and lifesaving. The availability of advanced computer, either hardware or software, and rapid development in numerical method have encouraged researchers to simulate the airflow characteristics and properties of HUA by using various patient conditions at different ranges of geometry and operating conditions. Computational fluid dynamics (CFD) has emerged as an efficient alternative tool to understand the airflow of HUA and in preparing patients to undergo surgery. The main objective of this article is to review the literature that deals with the CFD approach and modeling in analyzing HUA. METHODS: This review article discusses the experimental and computational methods in the study of HUA. The discussion includes computational fluid dynamics approach and steps involved in the modeling used to investigate the flow characteristics of HUA. From inception to May 2020, databases of PubMed, Embase, Scopus, the Cochrane Library, BioMed Central, and Web of Science have been utilized to conduct a thorough investigation of the literature. There had been no language restrictions in publication and study design of the database searches. A total of 117 articles relevant to the topic under investigation were thoroughly and critically reviewed to give a clear information about the subject. The article summarizes the review in the form of method of studying the HUA, CFD approach in HUA, and the application of CFD for predicting HUA obstacle, including the type of CFD commercial software are used in this research area. RESULTS: This review found that the human upper airway was well studied through the application of computational fluid dynamics, which had considerably enhanced the understanding of flow in HUA. In addition, it assisted in making strategic and reasonable decision regarding the adoption of treatment methods in clinical settings. The literature suggests that most studies were related to HUA simulation that considerably focused on the aspects of fluid dynamics. However, there is a literature gap in obtaining information on the effects of fluid-structure interaction (FSI). The application of FSI in HUA is still limited in the literature; as such, this could be a potential area for future researchers. Furthermore, majority of researchers present the findings of their work through the mechanism of airflow, such as that of velocity, pressure, and shear stress. This includes the use of Navier–Stokes equation via CFD to help visualize the actual mechanism of the airflow. The above-mentioned technique expresses the turbulent kinetic energy (TKE) in its result to demonstrate the real mechanism of the airflow. Apart from that, key result such as wall shear stress (WSS) can be revealed via turbulent kinetic energy (TKE) and turbulent energy dissipation (TED), where it can be suggestive of wall injury and collapsibility tissue to the HUA. |
format | Online Article Text |
id | pubmed-7318976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73189762020-06-29 Computational fluid dynamics modelling of human upper airway: A review Faizal, W.M. Ghazali, N.N.N. Khor, C.Y. Badruddin, Irfan Anjum Zainon, M.Z. Yazid, Aznijar Ahmad Ibrahim, Norliza Binti Razi, Roziana Mohd Comput Methods Programs Biomed Article BACKGROUND AND OBJECTIVE: Human upper airway (HUA) has been widely investigated by many researchers covering various aspects, such as the effects of geometrical parameters on the pressure, velocity and airflow characteristics. Clinically significant obstruction can develop anywhere throughout the upper airway, leading to asphyxia and death; this is where recognition and treatment are essential and lifesaving. The availability of advanced computer, either hardware or software, and rapid development in numerical method have encouraged researchers to simulate the airflow characteristics and properties of HUA by using various patient conditions at different ranges of geometry and operating conditions. Computational fluid dynamics (CFD) has emerged as an efficient alternative tool to understand the airflow of HUA and in preparing patients to undergo surgery. The main objective of this article is to review the literature that deals with the CFD approach and modeling in analyzing HUA. METHODS: This review article discusses the experimental and computational methods in the study of HUA. The discussion includes computational fluid dynamics approach and steps involved in the modeling used to investigate the flow characteristics of HUA. From inception to May 2020, databases of PubMed, Embase, Scopus, the Cochrane Library, BioMed Central, and Web of Science have been utilized to conduct a thorough investigation of the literature. There had been no language restrictions in publication and study design of the database searches. A total of 117 articles relevant to the topic under investigation were thoroughly and critically reviewed to give a clear information about the subject. The article summarizes the review in the form of method of studying the HUA, CFD approach in HUA, and the application of CFD for predicting HUA obstacle, including the type of CFD commercial software are used in this research area. RESULTS: This review found that the human upper airway was well studied through the application of computational fluid dynamics, which had considerably enhanced the understanding of flow in HUA. In addition, it assisted in making strategic and reasonable decision regarding the adoption of treatment methods in clinical settings. The literature suggests that most studies were related to HUA simulation that considerably focused on the aspects of fluid dynamics. However, there is a literature gap in obtaining information on the effects of fluid-structure interaction (FSI). The application of FSI in HUA is still limited in the literature; as such, this could be a potential area for future researchers. Furthermore, majority of researchers present the findings of their work through the mechanism of airflow, such as that of velocity, pressure, and shear stress. This includes the use of Navier–Stokes equation via CFD to help visualize the actual mechanism of the airflow. The above-mentioned technique expresses the turbulent kinetic energy (TKE) in its result to demonstrate the real mechanism of the airflow. Apart from that, key result such as wall shear stress (WSS) can be revealed via turbulent kinetic energy (TKE) and turbulent energy dissipation (TED), where it can be suggestive of wall injury and collapsibility tissue to the HUA. Elsevier B.V. 2020-11 2020-06-26 /pmc/articles/PMC7318976/ /pubmed/32629222 http://dx.doi.org/10.1016/j.cmpb.2020.105627 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Faizal, W.M. Ghazali, N.N.N. Khor, C.Y. Badruddin, Irfan Anjum Zainon, M.Z. Yazid, Aznijar Ahmad Ibrahim, Norliza Binti Razi, Roziana Mohd Computational fluid dynamics modelling of human upper airway: A review |
title | Computational fluid dynamics modelling of human upper airway: A review |
title_full | Computational fluid dynamics modelling of human upper airway: A review |
title_fullStr | Computational fluid dynamics modelling of human upper airway: A review |
title_full_unstemmed | Computational fluid dynamics modelling of human upper airway: A review |
title_short | Computational fluid dynamics modelling of human upper airway: A review |
title_sort | computational fluid dynamics modelling of human upper airway: a review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7318976/ https://www.ncbi.nlm.nih.gov/pubmed/32629222 http://dx.doi.org/10.1016/j.cmpb.2020.105627 |
work_keys_str_mv | AT faizalwm computationalfluiddynamicsmodellingofhumanupperairwayareview AT ghazalinnn computationalfluiddynamicsmodellingofhumanupperairwayareview AT khorcy computationalfluiddynamicsmodellingofhumanupperairwayareview AT badruddinirfananjum computationalfluiddynamicsmodellingofhumanupperairwayareview AT zainonmz computationalfluiddynamicsmodellingofhumanupperairwayareview AT yazidaznijarahmad computationalfluiddynamicsmodellingofhumanupperairwayareview AT ibrahimnorlizabinti computationalfluiddynamicsmodellingofhumanupperairwayareview AT razirozianamohd computationalfluiddynamicsmodellingofhumanupperairwayareview |