Literature DB >> 31141844

Asymptomatic vs symptomatic septal perforations: a computational fluid dynamics examination.

Chengyu Li1,2, Guillermo Maza1, Alexander A Farag1, Jillian P Krebs1, Bhakthi Deshpande1, Bradley A Otto1, Kai Zhao1.   

Abstract

BACKGROUND: A nasal septal perforation (NSP) can lead to frustrating symptoms for some patients while remaining completely asymptomatic for others, without a clear mechanism differentiating them.
METHODS: We applied individual computed tomography (CT)-based computational fluid dynamics (CFD) to examine the nasal aerodynamics differences between 5 asymptomatic and 15 symptomatic NSP patients. Patients' symptoms were confirmed through interviews, 22-item Sino-Nasal Outcome Test score (asymptomatic, 25 ± 18.8; symptomatic, 53.7 ± 18.2), nasal obstruction symptom evaluation score (asymptomatic, 28.0 ± 32.1; symptomatic, 62.2 ± 32.2), and review of medical history.
RESULTS: No statistical differences were found in perforation location, size (asymptomatic, 1.94 ± 1.88 cm2 ; symptomatic, 1.36 ± 1.44 cm2 ), nasal resistance (asymptomatic, 0.059 ± 0.012 Pa·s/mL; symptomatic, 0.063 ± 0.022 Pa·s/mL), and computed flow rate shunting across the perforation (asymptomatic, 52.9 ± 30.9 mL/s; symptomatic, 27.4 ± 23.6 mL/s; p > 0.05). However, symptomatic patients had significantly higher wall shear stress (WSS) and heat flux, especially along the posterior perforation margin (WSS, 0.54 ± 0.12 vs 1.15 ± 0.49 Pa, p < 0.001; heat flux, 0.21 ± 0.05 vs 0.37 ± 0.14 W/cm2 , p < 0.01). A WSS cutoff at 0.72 Pa can separate asymptomatic vs symptomatic NSP with 87% sensitivity and 100% specificity. Flow visualization showed flow peaks toward the posterior margin that may be responsible for the high WSS and heat flux among symptomatic NSPs.
CONCLUSION: This study is the first CFD examination of asymptomatic and symptomatic NSP with regional aerodynamics and stress abnormalities, beyond size or location, being implicated as the mechanism behind the symptomology of NSP. This finding could serve as an objective basis for future personalized treatment decisions and optimization.
© 2019 ARS-AAOA, LLC.

Entities:  

Keywords:  CT-based modeling; computational fluid dynamics; nasal airflow; nasal septal perforation; nasal wall shear stress

Mesh:

Year:  2019        PMID: 31141844      PMCID: PMC6750740          DOI: 10.1002/alr.22337

Source DB:  PubMed          Journal:  Int Forum Allergy Rhinol        ISSN: 2042-6976            Impact factor:   3.858


  18 in total

1.  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

Review 2.  Pathophysiology and progression of nasal septal perforation.

Authors:  Bobby Lanier; Guan Kai; Bradley Marple; G Michael Wall
Journal:  Ann Allergy Asthma Immunol       Date:  2007-12       Impact factor: 6.347

3.  Outcome of surgical closure of nasal septal perforation.

Authors:  S Wong; U Raghavan
Journal:  J Laryngol Otol       Date:  2010-05-20       Impact factor: 1.469

4.  Posterior septal resection: a simple surgical option for management of nasal septal perforation.

Authors:  Nicholas Beckmann; Anand Ponnappan; John Campana; Vijay R Ramakrishnan
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2014-02       Impact factor: 6.223

5.  Numerical simulation of airflow patterns in nose models with differently localized septal perforations.

Authors:  Joerg Lindemann; Gerhard Rettinger; Ralf Kröger; Fabian Sommer
Journal:  Laryngoscope       Date:  2013-07-02       Impact factor: 3.325

6.  Computational fluid dynamics evaluation of posterior septectomy as a viable treatment option for large septal perforations.

Authors:  Bradley A Otto; Chengyu Li; Alexander A Farag; Benjamin Bush; Jillian P Krebs; Ryan D Hutcheson; Kanghyun Kim; Bhakthi Deshpande; Kai Zhao
Journal:  Int Forum Allergy Rhinol       Date:  2017-05-23       Impact factor: 3.858

7.  Quantification of tissue-engineered trachea performance with computational fluid dynamics.

Authors:  Lauren Eichaker; Chengyu Li; Nakesha King; Victoria Pepper; Cameron Best; Ekene Onwuka; Eric Heuer; Kai Zhao; Jonathan Grischkan; Christopher Breuer; Jed Johnson; Tendy Chiang
Journal:  Laryngoscope       Date:  2018-05-14       Impact factor: 3.325

8.  Regional peak mucosal cooling predicts the perception of nasal patency.

Authors:  Kai Zhao; Jianbo Jiang; Kara Blacker; Brian Lyman; Pamela Dalton; Beverly J Cowart; Edmund A Pribitkin
Journal:  Laryngoscope       Date:  2013-06-28       Impact factor: 3.325

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.  Psychometric validity of the 22-item Sinonasal Outcome Test.

Authors:  C Hopkins; S Gillett; R Slack; V J Lund; J P Browne
Journal:  Clin Otolaryngol       Date:  2009-10       Impact factor: 2.597

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  2 in total

Review 1.  Is nasal airflow disrupted after endoscopic skull base surgery? A short review.

Authors:  M Májovský; F Trnka; H Schmirlerová; J Betka; T Hyhlík; David Netuka
Journal:  Neurosurg Rev       Date:  2022-09-27       Impact factor: 2.800

2.  Characterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity.

Authors:  Jan Brüning; Thomas Hildebrandt; Werner Heppt; Nora Schmidt; Hans Lamecker; Angelika Szengel; Natalja Amiridze; Heiko Ramm; Matthias Bindernagel; Stefan Zachow; Leonid Goubergrits
Journal:  Sci Rep       Date:  2020-02-28       Impact factor: 4.379

  2 in total

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