Literature DB >> 12567083

Investigating the nasal cycle using endoscopy, rhinoresistometry, and acoustic rhinometry.

Christian Lang1, Stefan Grützenmacher, Barbara Mlynski, Stefan Plontke, Gunter Mlynski.   

Abstract

OBJECTIVES: Cyclic congestion and decongestion in the two nasal cavities is seen in connection with the respiratory function of the nose. The turbulent behavior of nasal airflow is a prerequisite for adequate contact of inspired air particles with the mucosa. The aim of this study was to gain insight into this turbulent behavior of nasal airflow during the nasal cycle.
METHODS: The nasal cycle in 10 healthy human subjects was investigated using endoscopic imaging, rhinoresistometry, and acoustic rhinometry every 20 minutes over a time period of up to 15 hours. The following parameters were recorded for each nasal cavity: airflow resistance, hydraulic diameter, friction coefficient lambda as an indicator for the wall configuration triggering turbulence, transition from laminar to turbulent flow, and the minimal cross-sectional areas.
RESULTS: In addition to the known cyclic change of flow resistance and nasal width, a periodic change in the turbulence behavior was observed. In the resting phase, mainly laminar flow was found. During the working phase, the onset of turbulence occurred already at low flow velocities. The increase of turbulence during the working phase is caused by the increase in cross-sectional area in the anterior cavum due to decongestion of the mucosa of the head of the inferior turbinate and the septal tuberculum.
CONCLUSIONS: Rhinoresistometry and acoustic rhinometry complement each other. The combination of the two methods provides insight into the functional changes during the nasal cycle and into nasal physiology in general. The authors therefore advocate a combination of the two methods for functional evaluation of the nasal airway.

Entities:  

Mesh:

Year:  2003        PMID: 12567083     DOI: 10.1097/00005537-200302000-00016

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  21 in total

Review 1.  [Neural control of the respiratory nasal mucosa].

Authors:  S Knipping; A Riederer; A Berghaus
Journal:  HNO       Date:  2004-05       Impact factor: 1.284

Review 2.  Nasonasal reflexes, the nasal cycle, and sneeze.

Authors:  James N Baraniuk; Dennis Kim
Journal:  Curr Allergy Asthma Rep       Date:  2007-05       Impact factor: 4.806

Review 3.  [Diagnostic methods of nasal respiratory function].

Authors:  G Mlynski; A Beule
Journal:  HNO       Date:  2008-01       Impact factor: 1.284

4.  Aerosol Drug Delivery During Noninvasive Positive Pressure Ventilation: Effects of Intersubject Variability and Excipient Enhanced Growth.

Authors:  Ross L Walenga; P Worth Longest; Anubhav Kaviratna; Michael Hindle
Journal:  J Aerosol Med Pulm Drug Deliv       Date:  2017-01-11       Impact factor: 2.849

5.  Simulating the nasal cycle with computational fluid dynamics.

Authors:  Ruchin G Patel; Guilherme J M Garcia; Dennis O Frank-Ito; Julia S Kimbell; John S Rhee
Journal:  Otolaryngol Head Neck Surg       Date:  2014-12-01       Impact factor: 3.497

6.  Objective measures in aesthetic and functional nasal surgery: perspectives on nasal form and function.

Authors:  Sachin S Pawar; Guilherme J M Garcia; Julia S Kimbell; John S Rhee
Journal:  Facial Plast Surg       Date:  2010-07-27       Impact factor: 1.446

7.  [CT rhinometry : a correlation of rhinomanometry and multiplanar computer tomography of the nasal cavity].

Authors:  K W G Eichhorn; B Schneider; T A Bley; I Wagner; A Schröck; M Jakob
Journal:  HNO       Date:  2012-12       Impact factor: 1.284

8.  Characterization of postoperative changes in nasal airflow using a cadaveric computational fluid dynamics model: supporting the internal nasal valve.

Authors:  Scott Shadfar; William W Shockley; Gita M Fleischman; Anand R Dugar; Kibwei A McKinney; Dennis O Frank-Ito; Julia S Kimbell
Journal:  JAMA Facial Plast Surg       Date:  2014 Sep-Oct       Impact factor: 4.611

9.  Variability in Nose-to-Lung Aerosol Delivery.

Authors:  Ross L Walenga; Geng Tian; Michael Hindle; Joshua Yelverton; Kelley Dodson; P Worth Longest
Journal:  J Aerosol Sci       Date:  2014-12-01       Impact factor: 3.433

10.  A hierarchical stepwise approach to evaluate nasal patency after virtual surgery for nasal airway obstruction.

Authors:  Dennis O Frank-Ito; Julia S Kimbell; Azadeh A T Borojeni; Guilherme J M Garcia; John S Rhee
Journal:  Clin Biomech (Bristol, Avon)       Date:  2018-12-19       Impact factor: 2.063

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