Frictional resistance sheds light on the multicomponent nature of nasal obstruction: a combined in vivo and computational fluid dynamics study

Respir Physiol Neurobiol. 2013 Aug 15;188(2):133-42. doi: 10.1016/j.resp.2013.05.024. Epub 2013 May 28.

Abstract

Exploring nasal flow contributes to better understanding of pathophysiological functions of nasal cavities. We combined the rhinomanometry measurements of 11 patients and computational fluid dynamics (CFD) simulations in 3 nasal airway models to dissect the complex mechanisms that determine nasal flow obstruction: spatial complexity and pressure-dependent deformability of nasal airways. We quantified spatial complexity by calculating longitudinal variations of hydraulic diameter, perimeter and area of nasal cavities, and their impact on flow characteristics by examining the longitudinal variations of the kinetic energy coefficient and the kinetic to potential energy ratio. Airway distensibility variably affected in vivo pressure-flow relationships through the appearance of flow-limitation patterns characterized by maximum flow and/or flow plateau. We quantified deformability and spatial complexity effects on nasal airway resistance by normalizing all data with averaged reference parameters. The results show that discrepancies in nasal flow resistances reflect airway deformability and geometrical complexity, and thereby constitute a framework to better characterize nasal obstruction.

Keywords: Nasal airway model; Nasal compliance; Nasal resistance; Rhinomanometry.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Airway Resistance / physiology*
  • Computer Simulation
  • Humans
  • Imaging, Three-Dimensional
  • Models, Biological*
  • Nasal Cavity / physiology*
  • Nasal Obstruction / pathology*
  • Nasal Obstruction / physiopathology*
  • Nonlinear Dynamics*
  • Pressure
  • Rhinomanometry
  • Tomography, X-Ray Computed