Maxillary sinus aeration analysis using computational fluid dynamics

Abstract The maxillary sinus aeration using the computational fluid dynamics (CFD) method based on individual adult patients’ computed tomography (CT) scans were analyzed. The analysis was based on CT images of 4 patients: one with normal nose anatomy and three with nasal septal deviation (NSD) and...

Full description

Bibliographic Details
Main Authors: Dmitry Tretiakow, Krzysztof Tesch, Karolina Markiet, Andrzej Skorek
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-14342-3
_version_ 1818545851852652544
author Dmitry Tretiakow
Krzysztof Tesch
Karolina Markiet
Andrzej Skorek
author_facet Dmitry Tretiakow
Krzysztof Tesch
Karolina Markiet
Andrzej Skorek
author_sort Dmitry Tretiakow
collection DOAJ
description Abstract The maxillary sinus aeration using the computational fluid dynamics (CFD) method based on individual adult patients’ computed tomography (CT) scans were analyzed. The analysis was based on CT images of 4 patients: one with normal nose anatomy and three with nasal septal deviation (NSD) and concha bullosa (CB). The CFD simulation was performed using the Reynolds-Average Simulation approach and turbulence closure based on linear eddy viscosity supplemented with the two-equation k- $$\omega$$ ω SST model. As a result, it was found that the lower part of NSD has the most significant impact on the airflow change within the maxillary sinuses compared to CB and the upper part of NSD. In a healthy nose, the airflow in the sinuses is continuous, while NSD and CB change this flow into pulsatile. Multiple changes in the direction of flow during one respiratory phase were observed. The flow intensity within the maxillary sinus opening is lower on the NSD side. The concept of vorticity measure is introduced to evaluate and compare various patients qualitatively. Typically, the lowest values of such measures are obtained for healthy airways and the highest for pathological changes in the nasal cavity.
first_indexed 2024-12-12T07:45:25Z
format Article
id doaj.art-ce5798c0940c4c7d876166a6ed44a0bb
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-12-12T07:45:25Z
publishDate 2022-06-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-ce5798c0940c4c7d876166a6ed44a0bb2022-12-22T00:32:37ZengNature PortfolioScientific Reports2045-23222022-06-0112111210.1038/s41598-022-14342-3Maxillary sinus aeration analysis using computational fluid dynamicsDmitry Tretiakow0Krzysztof Tesch1Karolina Markiet2Andrzej Skorek3Department of Otolaryngology, Medical University of GdanskFaculty of Mechanical Engineering and Ship Technology, Gdansk University of TechnologyII Department of Radiology, Medical University of GdanskDepartment of Otolaryngology, Medical University of GdanskAbstract The maxillary sinus aeration using the computational fluid dynamics (CFD) method based on individual adult patients’ computed tomography (CT) scans were analyzed. The analysis was based on CT images of 4 patients: one with normal nose anatomy and three with nasal septal deviation (NSD) and concha bullosa (CB). The CFD simulation was performed using the Reynolds-Average Simulation approach and turbulence closure based on linear eddy viscosity supplemented with the two-equation k- $$\omega$$ ω SST model. As a result, it was found that the lower part of NSD has the most significant impact on the airflow change within the maxillary sinuses compared to CB and the upper part of NSD. In a healthy nose, the airflow in the sinuses is continuous, while NSD and CB change this flow into pulsatile. Multiple changes in the direction of flow during one respiratory phase were observed. The flow intensity within the maxillary sinus opening is lower on the NSD side. The concept of vorticity measure is introduced to evaluate and compare various patients qualitatively. Typically, the lowest values of such measures are obtained for healthy airways and the highest for pathological changes in the nasal cavity.https://doi.org/10.1038/s41598-022-14342-3
spellingShingle Dmitry Tretiakow
Krzysztof Tesch
Karolina Markiet
Andrzej Skorek
Maxillary sinus aeration analysis using computational fluid dynamics
Scientific Reports
title Maxillary sinus aeration analysis using computational fluid dynamics
title_full Maxillary sinus aeration analysis using computational fluid dynamics
title_fullStr Maxillary sinus aeration analysis using computational fluid dynamics
title_full_unstemmed Maxillary sinus aeration analysis using computational fluid dynamics
title_short Maxillary sinus aeration analysis using computational fluid dynamics
title_sort maxillary sinus aeration analysis using computational fluid dynamics
url https://doi.org/10.1038/s41598-022-14342-3
work_keys_str_mv AT dmitrytretiakow maxillarysinusaerationanalysisusingcomputationalfluiddynamics
AT krzysztoftesch maxillarysinusaerationanalysisusingcomputationalfluiddynamics
AT karolinamarkiet maxillarysinusaerationanalysisusingcomputationalfluiddynamics
AT andrzejskorek maxillarysinusaerationanalysisusingcomputationalfluiddynamics