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Proetz virtual modeling method: a look at the method through the prism of computational fluid dynamics

Authors: N.S. Sagandykova; D.A. Shcherbakov; A.Zh. Bekpan; D.Kh. Autalipov; M.B. Baurzhan;

Proetz virtual modeling method: a look at the method through the prism of computational fluid dynamics

Abstract

Objective. To study the Proetz method mechanism by CFD (computational fluid dynamics) modeling. Material and methods. CFD modeling was performed using a 40-year-old female patient’s CT scans of paranasal sinuses. Modeling is carried out using Mimics Medical 24.0, Ansys Fluent software. Results. When rinsing the nose, the sinuses are filled gradually as liquid sauces are reached after filling the common nasal passage. Fluid removal is effective only from the nasal cavity, the irrigation solution remains in the paranasal sinuses. Conclusion. During the Proetz rinsing method, it is effective for cleaning only the nasal cavity, while the cleaning of paranasal secretions occurs partially, complete aspiration of the irrigation solution from the sinus cavity is impossible.

Related Organizations
Keywords

Adult, Paranasal Sinuses, Hydrodynamics, Nasal Lavage, Humans, Female, Computer Simulation, Nasal Cavity, Tomography, X-Ray Computed

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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