Literature DB >> 28544511

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

Bradley A Otto1, Chengyu Li1, Alexander A Farag1, Benjamin Bush1, Jillian P Krebs1, Ryan D Hutcheson1, Kanghyun Kim1, Bhakthi Deshpande1, Kai Zhao1.   

Abstract

BACKGROUND: Numerous surgical techniques exist to treat nasal septal perforation (NSP). The surgical closure of large NSPs (>2 cm) is still challenging. Posterior septectomy has been reported as a simple alternative to treat large NSP, yet its mechanisms for symptom relief are not clear, and if failed, its consequence cannot be easily reversed.
METHODS: Ten NSP patients were recruited: 5 underwent posterior septectomy and 5 underwent conventional flap or button repair. Computational fluid dynamics (CFD) simulated the nasal aerodynamics based on computed tomography (CT) scans. All patients had preoperative CT; however, only 4 had postoperative CT: 2 underwent posterior septectomy and the other 2 underwent flap repair. We examined surgical outcomes and the nasal airflow features among the 2 treatment options.
RESULTS: Both groups of patients had good outcomes based on chart review. Patients undergoing septectomy had significantly larger perforation size (2.32 ± 0.87 vs 1.21 ± 0.60 cm), higher flow rate across the perforation (47.8 ± 28.6 vs 18.3 ± 12.2 mL/second), and higher wall shear stress (WSS) along the posterior perforation margin (1.39 ± 0.52 vs 1.15 ± 0.58 Pa). The posterior WSS significantly correlated with crossover flow velocity (r = 0.77, p = 0.009) and was reduced by almost 67% postseptectomy, and by 29% postrepair.
CONCLUSION: This is the first CFD analysis on an NSP patient cohort. NSP resulted in flow disturbance and increased WSS that potentially led to symptomatology. The removal of high stress points along the posterior margin may explain why posterior septectomy can be an effective treatment option. Aerodynamic abnormalities, in addition to perforation size and location, could serve as basis for future treatment decisions.
© 2017 ARS-AAOA, LLC.

Entities:  

Keywords:  CFD; NSP; computational fluid dynamics; nasal airflow; nasal septal perforation

Mesh:

Year:  2017        PMID: 28544511      PMCID: PMC5654740          DOI: 10.1002/alr.21951

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


  19 in total

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Journal:  Int Forum Allergy Rhinol       Date:  2014-03-24       Impact factor: 3.858

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  13 in total

1.  Computational fluid dynamics after endoscopic endonasal skull base surgery-possible empty nose syndrome in the context of middle turbinate resection.

Authors:  Guillermo Maza; Chengyu Li; Jillian P Krebs; Bradley A Otto; Alexander A Farag; Ricardo L Carrau; Kai Zhao
Journal:  Int Forum Allergy Rhinol       Date:  2018-11-29       Impact factor: 3.858

2.  Investigation of the abnormal nasal aerodynamics and trigeminal functions among empty nose syndrome patients.

Authors:  Chengyu Li; Alexander A Farag; Guillermo Maza; Sam McGhee; Michael A Ciccone; Bhakthi Deshpande; Edmund A Pribitkin; Bradley A Otto; Kai Zhao
Journal:  Int Forum Allergy Rhinol       Date:  2017-11-22       Impact factor: 3.858

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

Authors:  Chengyu Li; Guillermo Maza; Alexander A Farag; Jillian P Krebs; Bhakthi Deshpande; Bradley A Otto; Kai Zhao
Journal:  Int Forum Allergy Rhinol       Date:  2019-05-29       Impact factor: 3.858

4.  Computational fluid dynamic analysis of aggressive turbinate reductions: is it a culprit of empty nose syndrome?

Authors:  Jennifer Malik; Chengyu Li; Guillermo Maza; Alexander A Farag; Jillian P Krebs; Sam McGhee; Gabriela Zappitelli; Bhakthi Deshpande; Bradley A Otto; Kai Zhao
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5.  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
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6.  Modeling congenital nasal pyriform aperture stenosis using computational fluid dynamics.

Authors:  Tirth R Patel; Chengyu Li; Jillian Krebs; Kai Zhao; Prashant Malhotra
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7.  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

8.  Peak Sinus Pressures During Sneezing in Healthy Controls and Post-Skull Base Surgery Patients.

Authors:  Zhenxing Wu; John R Craig; Guillermo Maza; Chengyu Li; Bradley A Otto; Alexander A Farag; Ricardo L Carrau; Kai Zhao
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10.  Nasal Structural and Aerodynamic Features That May Benefit Normal Olfactory Sensitivity.

Authors:  Chengyu Li; Jianbo Jiang; Kanghyun Kim; Bradley A Otto; Alexander A Farag; Beverly J Cowart; Edmund A Pribitkin; Pamela Dalton; Kai Zhao
Journal:  Chem Senses       Date:  2018-04-23       Impact factor: 3.160

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