Functional relevance of Computational Fluid Dynamics in the field of nasal obstruction: a literature review
Thomas Radulesco  Lionel Meister  Gilles Bouchet  Jérôme Giordano  Patrick Dessi  Pierre Perrier Justin Michel
First published: 24 June 2019 https://doi.org/10.1111/coa.13396
This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1111/coa.13396
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Abstract
Background
Nasal airway obstruction (nasal obstruction) is a common symptom affecting the quality of life of patients. It can be estimated by patient perception or physical measurements. Computational fluid dynamics (CFD) can be used to analyze nasal ventilation modalities. There is a lack of comparative studies investigating the correlations between CFD variables and patient perception or physical measurements.

Objective of the review
Our goal was to define correlations between CFD variables and patient perception and physical measurements. We also aimed to identify the most reliable CFD variable (heat flux, WSS, total pressure, temperature…) characterizing nasal breathing perception.

Type of review
Systematic literature review using PRISMA guidelines.

Search strategy
The selected studies were obtained from the US National Library of Medicine (PubMed) online database, MEDLINE (Ovid), Google Scholar, and the Cochrane Library using a combination of MeSH terms (nose, paranasal sinus, fluid dynamics, rhinology) and non‐MeSH terms (CFD, nasal airway, nasal airflow, numerical, nasal symptoms). Studies that did not incorporate objective or subjective clinical assessment were excluded.

Evaluation method
We compared all results obtained by authors regarding CFD variables and assessment of nasal airway obstruction (clinical or physical).

Results
To compare nasal obstruction with CFD variables, most authors use CFD‐calculated nasal resistances, airflow, heat flux, wall shear stress, total pressure, velocities and streamlines. We found that heat flux appears to be the CFD variable most closely correlated to patient perception. Total pressure, wall shear stress and velocities are also useful and show good correlations. Correlations between CFD‐calculated nasal resistances and patient perception are stronger after correction of the nasal cycle.

Conclusions
The growing number of CFD studies on the nose has led to a better understanding of nasal obstruction. The clinical interpretation of previously unknown data, such as WSS and heat flux, is opening up new horizons in the understanding of this symptom. Heat fluxes are among the best CFD values correlated to patient perception. More studies need to be performed including temperature and humidity exchanges.