Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Comparison Of Airflow Patterns Between Patient With Septal Deviation And Normal Nasal Cavity Using Computational Fluid Dynamics

Version 1 : Received: 5 August 2023 / Approved: 7 August 2023 / Online: 7 August 2023 (10:09:23 CEST)

How to cite: Kafash, H.; Baradaran Rahimi, A.; Nekooei, S.; Mahmoudi Hashemi, S.F. Comparison Of Airflow Patterns Between Patient With Septal Deviation And Normal Nasal Cavity Using Computational Fluid Dynamics. Preprints 2023, 2023080505. https://doi.org/10.20944/preprints202308.0505.v1 Kafash, H.; Baradaran Rahimi, A.; Nekooei, S.; Mahmoudi Hashemi, S.F. Comparison Of Airflow Patterns Between Patient With Septal Deviation And Normal Nasal Cavity Using Computational Fluid Dynamics. Preprints 2023, 2023080505. https://doi.org/10.20944/preprints202308.0505.v1

Abstract

Backgroumd: The feeling of nasal obstruction is one of the most complaints of the Ear Nose and Throats (ENT) patients. The reason of this complaint is variable, such as Nasal Septal Deviation (NSD). NSD is a significant obstacle to normal respiration and the volume of air entering the lungs. Understanding how the deviation causes the obstruction is so important, because it leads to better management of this disease. Rhinomanometry and acoustic rhinometry are methods that are used for objective evaluation of upper airway, but they are semi invasive and the accuracy are not guaranteed. With development of Computed Tomography (CT scan) and Computational Fluid Dynamics (CFD), numerical studies on airflow in different parts of the nasal cavity have been performed. Objectives: The purpose of this study was to compare nasal airflow patterns between patient with NSD and healthy nasal cavity using a computational fluid dynamics (CFD) Methods: A patient with NSD and a healthy human were selected. Using CFD, the maximal airflow velocity, nasal resistance, maximal Wall Shear Stress (WSS), and pressure drop in bilateral nostrils of both cases were assessed. Results: Pressure and velocity profiles are evaluated at a mass flow rate of 17.4 Liters Per Minute (LPM). The velocity profile shows an abnormal flow profile in the septal deviated nasal cavity and the peak velocity is observed at the middle nasal region, whereas this point is at the nasal valve level in a healthy nasal cavity. Wall shear stress (WSS) caused by NSD is lower than in normal nasal cavities. The pressure drop in a nasal cavity with deviated septum is higher than in a healthy nasal cavity. Based on the results of this investigation nasal resistance in NSD was higher than in normal, healthy nasal cavity. Conclusions: NSD plays an important role in nasal airflow regime and it results in the feeling of obstruction comparing to normal nasal cavity. Also there is a promising future for CFD to become a useful tool in understanding airflow physiology and pathology.

Keywords

Nasal Septal Deviation (NSD); Nasal cavity; Computational Fluid Dynamics (CFD)

Subject

Engineering, Bioengineering

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