Literature DB >> 22227321

Effects of single-sided inferior turbinectomy on nasal function and airflow characteristics.

Yang Na1, Kang Soo Chung, Seung-Kyu Chung, Sung Kyun Kim.   

Abstract

Knowledge of airflow characteristics in the nasal cavity is essential to understanding the physiologic and pathologic aspects of nasal breathing. Airflows inside post-surgery models were investigated both experimentally and numerically to simulate the inferior turbinectomy. The left cavities of all three models are normal and right cavity is modified by (1) excision of the head of the inferior turbinate, (2) resection of the lower fifth of the inferior turbinate, and (3) resection of almost the entire inferior turbinate. Thin-slice CT (computed tomography) data (0.6mm deep) and meticulous refinement of the model surface by over a decade-long collaboration between engineers and an experienced ENT doctor resulted in the creation of sophisticated nasal cavity models. After numerical experiments and validation by comparison with the PIV results, the CFD code using the Reynolds stress turbulent model and variable temperature boundary condition on the mucosal wall was chosen as the proper numerical framework. Both global quantities (pressure drop, flow rate ratio, total wall heat transfer) and local changes (velocity, temperature, humidity, pressure gradient, and wall shear stress) were numerically investigated. The turbinectomy obviously altered the main stream direction. The flow rate in the upper airway near the olfactory slit decreased in models (1) and (3). This may weaken the olfactory function of the nose. Fluid and thermal properties that are believed to be related with physiology and prognosis are dependent on turbinate resection volume, position, and manner. Widening of the inferior airway does not always result in decreased flow resistance or wall heat transfer. The gains and losses of inferior turbinectomy were considered by analysis of the post-surgery model results. Nasal resistance was increased in model (1) due to sudden airway expansion. Nasal resistance increased and the wall heat transfer decreased in model (3) due to sudden airway expansion and excessive reduction of the mucosal wall surface area. Local shear stress and pressure gradient levels were increased in models (1) and (3).
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22227321     DOI: 10.1016/j.resp.2011.12.005

Source DB:  PubMed          Journal:  Respir Physiol Neurobiol        ISSN: 1569-9048            Impact factor:   1.931


  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

Review 2.  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

3.  Flow and air conditioning simulations of computer turbinectomized nose models.

Authors:  J Pérez-Mota; F Solorio-Ordaz; J Cervantes-de Gortari
Journal:  Med Biol Eng Comput       Date:  2018-04-16       Impact factor: 2.602

4.  On locating the obstruction in the upper airway via numerical simulation.

Authors:  Yong Wang; S Elghobashi
Journal:  Respir Physiol Neurobiol       Date:  2013-12-31       Impact factor: 1.931

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.  Analysis of nasal air conditioning in subjects with unilateral cleft lip nasal deformity.

Authors:  Hang Li; Hannah L Martin; Jeffrey R Marcus; Dennis O Frank-Ito
Journal:  Respir Physiol Neurobiol       Date:  2021-05-18       Impact factor: 2.821

7.  Mathematical model for preoperative identification of obstructed nasal subsites.

Authors:  M Gamerra; E Cantone; G Sorrentino; R De Luca; M B Russo; E De Corso; F Bossa; A De Vivo; M Iengo
Journal:  Acta Otorhinolaryngol Ital       Date:  2017-10       Impact factor: 2.124

8.  A numerical simulation of air flow in the human respiratory system for various environmental conditions.

Authors:  Alibek Issakhov; Yeldos Zhandaulet; Aizhan Abylkassymova; Assylbek Issakhov
Journal:  Theor Biol Med Model       Date:  2021-01-06       Impact factor: 2.432

9.  Numerical simulation of airflow fields in two typical nasal structures of empty nose syndrome: a computational fluid dynamics study.

Authors:  Meng-Yang Di; Zhe Jiang; Zhi-Qiang Gao; Zhi Li; Yi-Ran An; Wei Lv
Journal:  PLoS One       Date:  2013-12-18       Impact factor: 3.240

  9 in total

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