Literature DB >> 28547013

New CFD tools to evaluate nasal airflow.

M A Burgos1, E Sanmiguel-Rojas2, C Del Pino3, M A Sevilla-García4, F Esteban-Ortega4.   

Abstract

Computational fluid dynamics (CFD) is a mathematical tool to analyse airflow. As currently CFD is not a usual tool for rhinologists, a group of engineers in collaboration with experts in Rhinology have developed a very intuitive CFD software. The program MECOMLAND® only required snapshots from the patient's cross-sectional (tomographic) images, being the output those results originated by CFD, such as airflow distributions, velocity profiles, pressure, temperature, or wall shear stress. This is useful complementary information to cover diagnosis, prognosis, or follow-up of nasal pathologies based on quantitative magnitudes linked to airflow. In addition, the user-friendly environment NOSELAND® helps the medical assessment significantly in the post-processing phase with dynamic reports using a 3D endoscopic view. Specialists in Rhinology have been asked for a more intuitive, simple, powerful CFD software to offer more quality and precision in their work to evaluate the nasal airflow. We present MECOMLAND® and NOSELAND® which have all the expected characteristics to fulfil this demand and offer a proper assessment with the maximum of quality plus safety for the patient. These programs represent a non-invasive, low-cost (as the CT scan is already performed in every patient) alternative for the functional study of the difficult rhinologic case. To validate the software, we studied two groups of patients from the Ear Nose Throat clinic, a first group with normal noses and a second group presenting septal deviations. Wall shear stresses are lower in the cases of normal noses in comparison with those for septal deviation. Besides, velocity field distributions, pressure drop between nasopharynx and the ambient, and flow rates in each nostril were different among the nasal cavities in the two groups. These software modules open up a promising future to simulate the nasal airflow behaviour in virtual surgery intervention scenarios under different pressure or temperature conditions to understand the effects on nasal airflow.

Entities:  

Keywords:  3D model; Airflow; Computational fluid dynamics; Nasal cavity

Mesh:

Year:  2017        PMID: 28547013     DOI: 10.1007/s00405-017-4611-y

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


  22 in total

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

Review 2.  A review of the implications of computational fluid dynamic studies on nasal airflow and physiology.

Authors:  S C Leong; X B Chen; H P Lee; D Y Wang
Journal:  Rhinology       Date:  2010-06       Impact factor: 3.681

Review 3.  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

Review 4.  Correlation between subjective and objective evaluation of the nasal airway. A systematic review of the highest level of evidence.

Authors:  R F André; H D Vuyk; A Ahmed; K Graamans; G J Nolst Trenité
Journal:  Clin Otolaryngol       Date:  2009-12       Impact factor: 2.597

5.  Numerical modeling of nasal obstruction and endoscopic surgical intervention: outcome to airflow and olfaction.

Authors:  Kai Zhao; Edmund A Pribitkin; Beverly J Cowart; David Rosen; Peter W Scherer; Pamela Dalton
Journal:  Am J Rhinol       Date:  2006 May-Jun

Review 6.  Chronic inferior turbinate enlargement and the implications for surgical intervention.

Authors:  S E J Farmer; R Eccles
Journal:  Rhinology       Date:  2006-12       Impact factor: 3.681

7.  Velocity profiles measured for airflow through a large-scale model of the human nasal cavity.

Authors:  I Hahn; P W Scherer; M M Mozell
Journal:  J Appl Physiol (1985)       Date:  1993-11

8.  Numerical simulation of airflow in the human nose.

Authors:  Ivo Weinhold; Gunter Mlynski
Journal:  Eur Arch Otorhinolaryngol       Date:  2003-12-03       Impact factor: 2.503

9.  Predicting postsurgery nasal physiology with computational modeling: current challenges and limitations.

Authors:  Dennis O Frank-Ito; Julia S Kimbell; Purushottam Laud; Guilherme J M Garcia; John S Rhee
Journal:  Otolaryngol Head Neck Surg       Date:  2014-08-28       Impact factor: 3.497

10.  Impacts of fluid dynamics simulation in study of nasal airflow physiology and pathophysiology in realistic human three-dimensional nose models.

Authors:  De Yun Wang; Heow Peuh Lee; Bruce R Gordon
Journal:  Clin Exp Otorhinolaryngol       Date:  2012-11-13       Impact factor: 3.372

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  6 in total

1.  Normative ranges of nasal airflow variables in healthy adults.

Authors:  Azadeh A T Borojeni; Guilherme J M Garcia; Masoud Gh Moghaddam; Dennis O Frank-Ito; Julia S Kimbell; Purushottam W Laud; Lisa J Koenig; John S Rhee
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-02       Impact factor: 2.924

2.  A CFD approach to understand nasoseptal perforations.

Authors:  M A Burgos; E Sanmiguel-Rojas; R Rodríguez; F Esteban-Ortega
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-07-24       Impact factor: 2.503

3.  Wet surface wall model for latent heat exchange during evaporation.

Authors:  Kiao Inthavong; David F Fletcher; Mehrdad Khamooshi; Sara Vahaji; Hana Salati
Journal:  Int J Numer Method Biomed Eng       Date:  2022-02-21       Impact factor: 2.648

4.  Pre-surgery planning tool for estimation of resection volume to improve nasal breathing based on lattice Boltzmann fluid flow simulations.

Authors:  M Berger; M Pillei; A Giotakis; A Mehrle; W Recheis; F Kral; M Kraxner; H Riechelmann; W Freysinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-03-24       Impact factor: 2.924

5.  Rapid Maxillary Expansion Has a Beneficial Effect on the Ventilation in Children With Nasal Septal Deviation: A Computational Fluid Dynamics Study.

Authors:  Shuai Chen; Jingying Wang; Xun Xi; Yi Zhao; Hong Liu; Dongxu Liu
Journal:  Front Pediatr       Date:  2022-02-10       Impact factor: 3.418

6.  An effective simulation- and measurement-based workflow for enhanced diagnostics in rhinology.

Authors:  Moritz Waldmann; Alice Grosch; Christian Witzler; Matthias Lehner; Odo Benda; Walter Koch; Klaus Vogt; Christopher Kohn; Wolfgang Schröder; Jens Henrik Göbbert; Andreas Lintermann
Journal:  Med Biol Eng Comput       Date:  2021-12-23       Impact factor: 2.602

  6 in total

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