Literature DB >> 27525807

Creation of an idealized nasopharynx geometry for accurate computational fluid dynamics simulations of nasal airflow in patient-specific models lacking the nasopharynx anatomy.

Azadeh A T Borojeni1,2, Dennis O Frank-Ito3,4, Julia S Kimbell5, John S Rhee1, Guilherme J M Garcia1,2.   

Abstract

Virtual surgery planning based on computational fluid dynamics (CFD) simulations has the potential to improve surgical outcomes for nasal airway obstruction patients, but the benefits of virtual surgery planning must outweigh the risks of radiation exposure. Cone beam computed tomography (CT) scans represent an attractive imaging modality for virtual surgery planning due to lower costs and lower radiation exposures compared with conventional CT scans. However, to minimize the radiation exposure, the cone beam CT sinusitis protocol sometimes images only the nasal cavity, excluding the nasopharynx. The goal of this study was to develop an idealized nasopharynx geometry for accurate representation of outlet boundary conditions when the nasopharynx geometry is unavailable. Anatomically accurate models of the nasopharynx created from 30 CT scans were intersected with planes rotated at different angles to obtain an average geometry. Cross sections of the idealized nasopharynx were approximated as ellipses with cross-sectional areas and aspect ratios equal to the average in the actual patient-specific models. CFD simulations were performed to investigate whether nasal airflow patterns were affected when the CT-based nasopharynx was replaced by the idealized nasopharynx in 10 nasal airway obstruction patients. Despite the simple form of the idealized geometry, all biophysical variables (nasal resistance, airflow rate, and heat fluxes) were very similar in the idealized vs patient-specific models. The results confirmed the expectation that the nasopharynx geometry has a minimal effect in the nasal airflow patterns during inspiration. The idealized nasopharynx geometry will be useful in future CFD studies of nasal airflow based on medical images that exclude the nasopharynx.
Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  computational fluid dynamics (CFD); idealized nasopharynx; nasal airway obstruction; nasal resistance; nasal surgery; patient-specific numerical simulation

Mesh:

Year:  2016        PMID: 27525807      PMCID: PMC5311034          DOI: 10.1002/cnm.2825

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  35 in total

1.  Impact of unilateral sinus surgery with resection of the turbinates by means of midfacial degloving on nasal air conditioning.

Authors:  Jörg Lindemann; Richard Leiacker; Thomas Sikora; Gerhard Rettinger; Tilman Keck
Journal:  Laryngoscope       Date:  2002-11       Impact factor: 3.325

2.  Cone beam computed tomography in craniofacial imaging.

Authors:  P Sukovic
Journal:  Orthod Craniofac Res       Date:  2003       Impact factor: 1.826

3.  Development and validation of the Nasal Obstruction Symptom Evaluation (NOSE) scale.

Authors:  Michael G Stewart; David L Witsell; Timothy L Smith; Edward M Weaver; Bevan Yueh; Maureen T Hannley
Journal:  Otolaryngol Head Neck Surg       Date:  2004-02       Impact factor: 3.497

4.  4-Phase-Rhinomanometry (4PR)--basics and practice 2010.

Authors:  Klaus Vogt; Alfredo A Jalowayski; W Althaus; C Cao; D Han; W Hasse; H Hoffrichter; R Mösges; J Pallanch; K Shah-Hosseini; K Peksis; K D Wernecke; L Zhang; P Zaporoshenko
Journal:  Rhinol Suppl       Date:  2010

Review 5.  Computed tomography--an increasing source of radiation exposure.

Authors:  David J Brenner; Eric J Hall
Journal:  N Engl J Med       Date:  2007-11-29       Impact factor: 91.245

6.  Septal deviation and nasal resistance: an investigation using virtual surgery and computational fluid dynamics.

Authors:  Guilherme J M Garcia; John S Rhee; Brent A Senior; Julia S Kimbell
Journal:  Am J Rhinol Allergy       Date:  2010 Jan-Feb       Impact factor: 2.467

7.  The efficacy of nasal septal surgery.

Authors:  I Samad; H E Stevens; A Maloney
Journal:  J Otolaryngol       Date:  1992-04

Review 8.  A systematic review of patient-reported nasal obstruction scores: defining normative and symptomatic ranges in surgical patients.

Authors:  John S Rhee; Corbin D Sullivan; Dennis O Frank; Julia S Kimbell; Guilherme J M Garcia
Journal:  JAMA Facial Plast Surg       Date:  2014 May-Jun       Impact factor: 4.611

9.  The relationship between nasal resistance to airflow and the airspace minimal cross-sectional area.

Authors:  Guilherme J M Garcia; Benjamin M Hariri; Ruchin G Patel; John S Rhee
Journal:  J Biomech       Date:  2016-04-01       Impact factor: 2.712

10.  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

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  9 in total

1.  Estimates of nasal airflow at the nasal cycle mid-point improve the correlation between objective and subjective measures of nasal patency.

Authors:  Courtney Gaberino; John S Rhee; Guilherme J M Garcia
Journal:  Respir Physiol Neurobiol       Date:  2017-01-09       Impact factor: 1.931

2.  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

3.  On computational fluid dynamics models for sinonasal drug transport: Relevance of nozzle subtraction and nasal vestibular dilation.

Authors:  Saikat Basu; Dennis O Frank-Ito; Julia S Kimbell
Journal:  Int J Numer Method Biomed Eng       Date:  2018-01-18       Impact factor: 2.747

4.  Relationship between degree of obstruction and airflow limitation in subglottic stenosis.

Authors:  Emily L Lin; Jonathan M Bock; Carlton J Zdanski; Julia S Kimbell; Guilherme J M Garcia
Journal:  Laryngoscope       Date:  2017-11-24       Impact factor: 3.325

5.  Virtual Surgery for the Nasal Airway: A Preliminary Report on Decision Support and Technology Acceptance.

Authors:  Derek L Vanhille; Guilherme J M Garcia; Onur Asan; Azadeh A T Borojeni; Dennis O Frank-Ito; Julia S Kimbell; Sachin S Pawar; John S Rhee
Journal:  JAMA Facial Plast Surg       Date:  2018-01-01       Impact factor: 4.611

6.  Sensitivity of nasal airflow variables computed via computational fluid dynamics to the computed tomography segmentation threshold.

Authors:  Giancarlo B Cherobin; Richard L Voegels; Eloisa M M S Gebrim; Guilherme J M Garcia
Journal:  PLoS One       Date:  2018-11-16       Impact factor: 3.240

7.  Possibilities of Automated Diagnostics of Odontogenic Sinusitis According to the Computer Tomography Data.

Authors:  Oleg G Avrunin; Yana V Nosova; Ibrahim Younouss Abdelhamid; Sergii V Pavlov; Natalia O Shushliapina; Waldemar Wójcik; Piotr Kisała; Aliya Kalizhanova
Journal:  Sensors (Basel)       Date:  2021-02-08       Impact factor: 3.576

Review 8.  Nasally inhaled therapeutics and vaccination for COVID-19: Developments and challenges.

Authors:  Jinxiang Xi; Lameng Ray Lei; William Zouzas; Xiuhua April Si
Journal:  MedComm (2020)       Date:  2021-12-14

9.  Orally Inhaled Drug Particle Transport in Computerized Models of Laryngotracheal Stenosis.

Authors:  Dennis Onyeka Frank-Ito; Seth Morris Cohen
Journal:  Otolaryngol Head Neck Surg       Date:  2020-10-13       Impact factor: 3.497

  9 in total

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