Literature DB >> 10488989

A dynamic and direct visualization model for the study of nasal airflow.

D Simmen1, J L Scherrer, K Moe, B Heinz.   

Abstract

OBJECTIVE: To evaluate nasal airflow characteristics during physiologic breathing in normal and pathologic conditions.
DESIGN: The choana of an anatomical human model was connected to a pump that simulated physiological pressure changes in the upper airway system. Normal ambient air was used as medium. The airstream was marked with aerosolized water particles, and was observed through an exact but translucent replica of the original nasal septum.
RESULTS: In physiologic conditions the airflow is mixed. Turbulence is clearly visible even with low flow velocities. There is less turbulence with lower flow rates. The nasal airflow follows a triphasic pattern of acceleration, near-steady state, and deceleration. Turbulence is prominent in the first and third phases. The main flow stream passes through the middle meatus at all rates. Hypertrophic mucosal membranes and turbinates increase the proportion of air passing the middle meatus. With decongested turbinates, flow distribution is more even. After turbinectomy there is a significant amount of airflow passing along the floor of the nose. The olfactory region is aerated only toward the end of inspiration and during the entire expiration phase.
CONCLUSIONS: This model allows the investigation of airflow distribution and turbulence under physiologic conditions and the examination of the influence of pathologic conditions on these parameters. Overzealous trimming of turbinates results in an unphysiologic distribution of airflow.

Entities:  

Mesh:

Year:  1999        PMID: 10488989     DOI: 10.1001/archotol.125.9.1015

Source DB:  PubMed          Journal:  Arch Otolaryngol Head Neck Surg        ISSN: 0886-4470


  10 in total

1.  Is turbinate surgery necessary when performing a septoplasty?

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Journal:  Eur Arch Otorhinolaryngol       Date:  2008-11-11       Impact factor: 2.503

2.  Airflow Considerations and the Effect of Webster's Triangle in Reduction Rhinoplasty.

Authors:  Haldun O Kamburoglu; Ozan Bitik; İbrahim Vargel
Journal:  Aesthetic Plast Surg       Date:  2021-02-17       Impact factor: 2.326

3.  [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

4.  What is normal nasal airflow? A computational study of 22 healthy adults.

Authors:  Kai Zhao; Jianbo Jiang
Journal:  Int Forum Allergy Rhinol       Date:  2014-03-24       Impact factor: 3.858

5.  Numerical simulation and nasal air-conditioning.

Authors:  Tilman Keck; Jörg Lindemann
Journal:  GMS Curr Top Otorhinolaryngol Head Neck Surg       Date:  2011-04-27

6.  Numerical analysis of the relationship between nasal structure and its function.

Authors:  Shen Yu; Xiu-zhen Sun; Ying-xi Liu
Journal:  ScientificWorldJournal       Date:  2014-02-06

7.  Maxillary sinusitis developed as sequelae of accidental middle turbinectomy that occurred during nasotracheal intubation: a case report.

Authors:  Joungmin Kim; Taehee Pyeon; Hyun Jung Lee; Hyung Chae Yang
Journal:  BMC Anesthesiol       Date:  2021-04-22       Impact factor: 2.217

8.  Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study.

Authors:  Natasa Janovic; Aleksa Janovic; Biljana Milicic; Marija Djuric
Journal:  Braz J Otorhinolaryngol       Date:  2020-10-10

9.  Evaluation of the nasal mucociliary transport rate by rhinoscintigraphy before and after surgery in patients with deviated nasal septum.

Authors:  Cahit Polat; Zeki Dostbil
Journal:  Eur Arch Otorhinolaryngol       Date:  2009-10-09       Impact factor: 2.503

10.  What is the Relationship between the Localization of Maxillary Fungal Balls and Intranasal Anatomic Variations?

Authors:  Se Hwan Hwang; Jun Myung Kang; Jin Hee Cho; Byung Guk Kim
Journal:  Clin Exp Otorhinolaryngol       Date:  2012-11-13       Impact factor: 3.372

  10 in total

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