Computational Fluid Dynamic Application In Patients Suffering From Nasal Obstruction Due To Septal Deviation; A Review Article

Background: Nasal airway obstruction (NAO) is a common symptom that affects a person's quality of life. It can be estimated by patient perception or by physical measurements. Computational fluid dynamics (CFD) can be used to analyze nasal ventilation modes. There is a lack of comparative studie...

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Main Authors: Hamedreza Kafash, Asghar Baradaran Rahimi, Sirous Nekooei, Seyede Fateme Mahmoudi Hashemi
Format: Article
Language:English
Published: Mashhad University of Medical Sciences 2024-10-01
Series:Reviews in Clinical Medicine
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Online Access:https://rcm.mums.ac.ir/article_21446_affb8f72aed4c93cffd64d0668be183b.pdf
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author Hamedreza Kafash
Asghar Baradaran Rahimi
Sirous Nekooei
Seyede Fateme Mahmoudi Hashemi
author_facet Hamedreza Kafash
Asghar Baradaran Rahimi
Sirous Nekooei
Seyede Fateme Mahmoudi Hashemi
author_sort Hamedreza Kafash
collection DOAJ
description Background: Nasal airway obstruction (NAO) is a common symptom that affects a person's quality of life. It can be estimated by patient perception or by physical measurements. Computational fluid dynamics (CFD) can be used to analyze nasal ventilation modes. There is a lack of comparative studies for evaluation of airflow regimes using CFD.Objective of the review: Our goal was to determine the different utilities of CFD as an objective method for investigation of nasal airflow characteristics.Search strategy: Selected studies were collected from MEDLINE (Ovid), Google Scholar ,Cochrane Library and EMBASE using a combination of the MeSH terms “septal deviation”, “nasal obstruction”, “Computational fluid dynamics (CFD)”.Evaluation method: We compared all the results obtained by the authors regarding the CFD variables and the assessment of nasal obstruction (clinical or physical).Results: To compare nasal obstruction with CFD variables, most authors use heat flow, Wall Shear Stress (WSS), total pressure, velocity and streamlines. We found that heat flux appeared to be the CFD variable most strongly correlated with patient perception. Total pressure, wall shear stress and velocity are also useful and show a good correlation.Conclusion: More and more research on CFD on the nose has led to a better understanding of nasal obstruction. Further studies need to be done, including temperature and humidity exchange.
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spelling doaj-art-b23f67b6d24f4f0db6ea02a0f41da86c2025-08-20T03:17:56ZengMashhad University of Medical SciencesReviews in Clinical Medicine2345-62562345-68922024-10-0111351210.22038/rcm.2022.68866.142521446Computational Fluid Dynamic Application In Patients Suffering From Nasal Obstruction Due To Septal Deviation; A Review ArticleHamedreza Kafash0Asghar Baradaran Rahimi1Sirous Nekooei2Seyede Fateme Mahmoudi Hashemi3Department of Mechanical Engineering, Faculty of Engineering Ferdowsi University of Mashhad, IranDepartment of Mechanical Engineering, Faculty of Engineering Ferdowsi University of Mashhad, IranAssociate Professor of Radiology, Ghaem Medical Center, Mashhad, IranDepartment of Otorhinolaryngology, Faculty of Medicine, Mashhad University of Medical Sciences, IranBackground: Nasal airway obstruction (NAO) is a common symptom that affects a person's quality of life. It can be estimated by patient perception or by physical measurements. Computational fluid dynamics (CFD) can be used to analyze nasal ventilation modes. There is a lack of comparative studies for evaluation of airflow regimes using CFD.Objective of the review: Our goal was to determine the different utilities of CFD as an objective method for investigation of nasal airflow characteristics.Search strategy: Selected studies were collected from MEDLINE (Ovid), Google Scholar ,Cochrane Library and EMBASE using a combination of the MeSH terms “septal deviation”, “nasal obstruction”, “Computational fluid dynamics (CFD)”.Evaluation method: We compared all the results obtained by the authors regarding the CFD variables and the assessment of nasal obstruction (clinical or physical).Results: To compare nasal obstruction with CFD variables, most authors use heat flow, Wall Shear Stress (WSS), total pressure, velocity and streamlines. We found that heat flux appeared to be the CFD variable most strongly correlated with patient perception. Total pressure, wall shear stress and velocity are also useful and show a good correlation.Conclusion: More and more research on CFD on the nose has led to a better understanding of nasal obstruction. Further studies need to be done, including temperature and humidity exchange.https://rcm.mums.ac.ir/article_21446_affb8f72aed4c93cffd64d0668be183b.pdfnasal airflow obstruction (nao)computational fluid dynamics (cfd) analysisseptal deviation
spellingShingle Hamedreza Kafash
Asghar Baradaran Rahimi
Sirous Nekooei
Seyede Fateme Mahmoudi Hashemi
Computational Fluid Dynamic Application In Patients Suffering From Nasal Obstruction Due To Septal Deviation; A Review Article
Reviews in Clinical Medicine
nasal airflow obstruction (nao)
computational fluid dynamics (cfd) analysis
septal deviation
title Computational Fluid Dynamic Application In Patients Suffering From Nasal Obstruction Due To Septal Deviation; A Review Article
title_full Computational Fluid Dynamic Application In Patients Suffering From Nasal Obstruction Due To Septal Deviation; A Review Article
title_fullStr Computational Fluid Dynamic Application In Patients Suffering From Nasal Obstruction Due To Septal Deviation; A Review Article
title_full_unstemmed Computational Fluid Dynamic Application In Patients Suffering From Nasal Obstruction Due To Septal Deviation; A Review Article
title_short Computational Fluid Dynamic Application In Patients Suffering From Nasal Obstruction Due To Septal Deviation; A Review Article
title_sort computational fluid dynamic application in patients suffering from nasal obstruction due to septal deviation a review article
topic nasal airflow obstruction (nao)
computational fluid dynamics (cfd) analysis
septal deviation
url https://rcm.mums.ac.ir/article_21446_affb8f72aed4c93cffd64d0668be183b.pdf
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