Literature DB >> 14652769

Numerical simulation of airflow in the human nose.

Ivo Weinhold1, Gunter Mlynski.   

Abstract

Unobstructed air passageways as well as sufficient contact of the air stream with the mucous membrane are essential for the correct function of the nose. For that, local flow phenomena, which often cannot be captured by standard diagnostic methods, are important. We developed and validated a method for the numerical simulation of the nasal airflow. Two anatomically correct, transparent resin models of human nasal cavities, manufactured by a special casting technology, and the nasal cavities of two patients were reconstructed as Computer Aided Design models based on computed tomography (CT) scans. One of the nasal models and one clinical case represented a normal nasal anatomy, while the others were examples of pathological alterations. The velocity and pressure fields in these reconstructed cavities were calculated for the entire range of physiological nasal inspiration using commercially available computational fluid dynamics software. To validate the results rhinoresistometric data were measured and characteristic streamlines were videotaped for the resin models. The numerical results were in good agreement with the experimental data for the investigated cases. An example of a complex clinical case demonstrates the potential benefit of the developed simulation method for rhinosurgical planning. The results support the assumption that even under the specific conditions of the clinical practice the application of numerical simulation of nasal airflow phenomena may become realistic in the near future. However, important technical issues such as a completely automated reconstruction of the nasal cavity still need to be resolved before such simulations are efficient and cost effective enough to become a standard tool for the rhinologist.

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Mesh:

Year:  2003        PMID: 14652769     DOI: 10.1007/s00405-003-0675-y

Source DB:  PubMed          Journal:  Eur Arch Otorhinolaryngol        ISSN: 0937-4477            Impact factor:   2.503


  5 in total

1.  [A numerical simulation of the aerodynamics of the nasal cavity].

Authors:  F Chometon; D Ebbo; P Gillieron; P Koïfman; F Lecomte; N Sorrel-Dejerine
Journal:  Ann Otolaryngol Chir Cervicofac       Date:  2000-03

2.  Correlation of nasal morphology and respiratory function.

Authors:  G Mlynski; S Grützenmacher; S Plontke; B Mlynski; C Lang
Journal:  Rhinology       Date:  2001-12       Impact factor: 3.681

Review 3.  Biophysics of nasal airflow: a review.

Authors:  P Cole
Journal:  Am J Rhinol       Date:  2000 Jul-Aug

4.  Numerical simulation of airflow in the human nasal cavity.

Authors:  K Keyhani; P W Scherer; M M Mozell
Journal:  J Biomech Eng       Date:  1995-11       Impact factor: 2.097

5.  Nasal airway resistance and symptoms after functional septoplasty: comparison of findings at 9 months and 9 years.

Authors:  M Jessen; A Ivarsson; L Malm
Journal:  Clin Otolaryngol Allied Sci       Date:  1989-06
  5 in total
  19 in total

Review 1.  Review of computational fluid dynamics in the assessment of nasal air flow and analysis of its limitations.

Authors:  Maurizio Quadrio; Carlotta Pipolo; Stefano Corti; Riccardo Lenzi; Francesco Messina; Chiara Pesci; Giovanni Felisati
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-10-08       Impact factor: 2.503

2.  Numerical simulation of normal nasal cavity airflow in Chinese adult: a computational flow dynamics model.

Authors:  Jie Tan; Demin Han; Jie Wang; Ting Liu; Tong Wang; Hongrui Zang; Yunchuan Li; Xiangdong Wang
Journal:  Eur Arch Otorhinolaryngol       Date:  2011-09-22       Impact factor: 2.503

3.  Molecular Communication over Gas Stream Channels using Portable Mass Spectrometry.

Authors:  Stamatios Giannoukos; Alan Marshall; Stephen Taylor; Jeremy Smith
Journal:  J Am Soc Mass Spectrom       Date:  2017-07-21       Impact factor: 3.109

4.  Computational fluid dynamics as surgical planning tool: a pilot study on middle turbinate resection.

Authors:  Kai Zhao; Prashant Malhotra; David Rosen; Pamela Dalton; Edmund A Pribitkin
Journal:  Anat Rec (Hoboken)       Date:  2014-11       Impact factor: 2.064

Review 5.  [Three-dimensional analysis of nasal physiology : Representation by means of computational fluid dynamics].

Authors:  F Sommer; T K Hoffmann; G Mlynski; M Reichert; A-S Grossi; R Kröger; J Lindemann
Journal:  HNO       Date:  2018-04       Impact factor: 1.284

6.  Patient-Specific Geometry Modeling and Mesh Generation for Simulating Obstructive Sleep Apnea Syndrome Cases by Maxillomandibular Advancement.

Authors:  Yasushi Ito; Gary C Cheng; Alan M Shih; Roy P Koomullil; Bharat K Soni; Somsak Sittitavornwong; Peter D Waite
Journal:  Math Comput Simul       Date:  2011-05       Impact factor: 2.463

7.  New CFD tools to evaluate nasal airflow.

Authors:  M A Burgos; E Sanmiguel-Rojas; C Del Pino; M A Sevilla-García; F Esteban-Ortega
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-05-25       Impact factor: 2.503

8.  [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

9.  Computational modeling and validation of human nasal airflow under various breathing conditions.

Authors:  Chengyu Li; Jianbo Jiang; Haibo Dong; Kai Zhao
Journal:  J Biomech       Date:  2017-09-05       Impact factor: 2.712

10.  Computer simulations show that Neanderthal facial morphology represents adaptation to cold and high energy demands, but not heavy biting.

Authors:  Stephen Wroe; William C H Parr; Justin A Ledogar; Jason Bourke; Samuel P Evans; Luca Fiorenza; Stefano Benazzi; Jean-Jacques Hublin; Chris Stringer; Ottmar Kullmer; Michael Curry; Todd C Rae; Todd R Yokley
Journal:  Proc Biol Sci       Date:  2018-04-11       Impact factor: 5.349

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