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

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