Literature DB >> 29728177

Modeling congenital nasal pyriform aperture stenosis using computational fluid dynamics.

Tirth R Patel1, Chengyu Li2, Jillian Krebs3, Kai Zhao4, Prashant Malhotra5.   

Abstract

OBJECTIVES: Congenital nasal pyriform aperture stenosis (CNPAS) is a rare cause of airway obstruction in the neonate. Computational airway modeling has not been done in neonates and young infants to understand the impact of stenosis on functional nasal airflow. In this study, we 1) applied computational fluid dynamics (CFD) model to the airway of a neonate with CNPAS and 2) compare airflow dynamics of a normal and CNPAS airway.
METHODS: Three-dimensional models of the nasal airway of a normal neonate and a neonate with CNPAS were created using computed tomography scans of the facial bones. Measured anatomic parameters included volume, surface area, and cross-sectional area. CFD simulation was then performed. Simulated flow parameters included pressure, average velocity, and resistance.
RESULTS: The neonate with CNPAS had a lesser volume (2.74 cm3 vs. 4.50 cm3) and surface area (18.8 cm2 vs. 45.5 cm2) than the normal airway. The CNPAS airway had a lesser bilateral cross-sectional area and average cross-sectional velocity throughout the length of the model. While there is a large pressure drop in the normal airway immediately after the entry point, the pressure drop in the CNPAS airway occurs more posteriorly. The total nasal resistance was approximately eight-fold greater in the CNPAS airway than the normal.
CONCLUSIONS: CFD analysis can be performed on airways of neonates with nasal obstruction, such as in CNPAS. A CFD model may help characterize severity of airway obstruction as it can predict the three-dimensional pattern of airflow. Determining the role of CFD in clinical management of CNPAS requires further investigation.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Airway modeling; Congenital pyriform aperture stenosis; Fluid dynamics; Pediatric airway

Mesh:

Year:  2018        PMID: 29728177      PMCID: PMC5942217          DOI: 10.1016/j.ijporl.2018.04.002

Source DB:  PubMed          Journal:  Int J Pediatr Otorhinolaryngol        ISSN: 0165-5876            Impact factor:   1.675


  30 in total

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