Literature DB >> 30528153

Computational Fluid Dynamics in the assessment of nasal obstruction in children.

E Moreddu1, L Meister2, C Philip-Alliez2, J-M Triglia3, M Medale2, R Nicollas4.   

Abstract

OBJECTIVES: Nasal obstruction is a highly subjective symptom. It can be evaluated by combining clinical examination, imaging and functional measurements such as active anterior rhinomanometry (AAR). In pediatrics, AAR is often impossible because it requires the participation of the child. Airflow modeling by Computational Fluid Dynamics (CFD) has been developed since the early 1990s, mostly in adults. This study is the first to describe a methodology of "numerical rhinomanometry" in children using CFD and to evaluate the feasibility and the clinical interest of this new tool.
MATERIALS AND METHODS: Five children aged from 8 to 15 years, complaining of nasal obstruction, underwent routine management including clinical evaluation, AAR, and CT-scanning. CT acquisitions were used for CFD calculations and numerical rhinomanometry. RESULTS AND
CONCLUSIONS: In the 5 children, the results of CFD were concordant with clinical complaints and examination. In 3 children, AAR and CFD were concordant. In one patient, CFD corrected the results of AAR. In one patient, AAR was not feasible, unlike CFD, which contributed to diagnosis. This study highlighted the feasibility of CFD in children and that it can support or refute diagnosis of nasal obstruction with good reliability. These results indicate that CFD modeling could be widely used for functional exploration in pediatric rhinology.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Children; Computational fluid dynamics; Nasal obstruction; Pediatrics; Rhinomanometry

Mesh:

Year:  2018        PMID: 30528153     DOI: 10.1016/j.anorl.2018.11.008

Source DB:  PubMed          Journal:  Eur Ann Otorhinolaryngol Head Neck Dis        ISSN: 1879-7296            Impact factor:   2.080


  3 in total

1.  Numerical simulation of nasal airflows and thermal air modification in newborns.

Authors:  Eric Moreddu; Lionel Meister; Alexia Dabadie; Jean-Michel Triglia; Marc Médale; Richard Nicollas
Journal:  Med Biol Eng Comput       Date:  2019-12-17       Impact factor: 2.602

2.  Clinical parameters influencing the results of anterior rhinomanometry in children.

Authors:  Hans J Welkoborsky; Christina Rose-Diekmann; Anja Pähler Vor der Holte; Hagen Ott
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-01-18       Impact factor: 2.503

3.  Three-dimensional modeling and automatic analysis of the human nasal cavity and paranasal sinuses using the computational fluid dynamics method.

Authors:  Dmitry Tretiakow; Krzysztof Tesch; Jarosław Meyer-Szary; Karolina Markiet; Andrzej Skorek
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-10-17       Impact factor: 2.503

  3 in total

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