Literature DB >> 18030167

Numerical study of the aerodynamic effects of septoplasty and partial lateral turbinectomy.

Samet Ozlugedik1, Gunes Nakiboglu, Cuneyt Sert, Alaittin Elhan, Ergin Tonuk, Serdar Akyar, Ibrahim Tekdemir.   

Abstract

OBJECTIVES: To investigate, first, the effects of septal deviation and concha bullosa on nasal airflow, and second, the aerodynamic changes induced by septoplasty and partial lateral turbinectomy, using computational fluid dynamics (CFD).
METHODS: A three-dimensional model of a nasal cavity was generated using paranasal sinus computed tomography images of a cadaver with concha bullosa and septal deviation. Virtual septoplasty and partial lateral turbinectomy were performed on this model to generate a second model representing the postoperative anatomy. Aerodynamics of the nasal cavity in the presence of concha bullosa and septal deviation as well as postoperative changes due to the virtual surgery were analyzed by performing CFD simulations on both models. Inspiratory airflow with a constant flow rate of 500 mL/second was used throughout the analyses.
RESULTS: In the preoperative model, the airflow mostly pass through a narrow area close to the base of the nasal cavity. Following the virtual operation, a general drop in the maximum intranasal air speed is observed with a significant increase of the airflow through right middle meatus. While in the preoperative model the greatest reduction in pressure is found to be in the localization of anterior septal deviation on the right side and confined to a very short segment, for the postoperative model, it is observed to be in the nasal valve region in both nasal cavities. Following septoplasty and partial lateral turbinectomy, total nasal resistance is reduced significantly.
CONCLUSIONS: CFD simulations promise to make great contributions to understand the airflow characteristics of healthy and pathologic noses. Before surgery, planning for any specific intervention using CFD techniques on the nasal cavity model of the patient may help foreseeing the aerodynamic effects of the operation and might increase the success rate of the surgical treatment.

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Year:  2008        PMID: 18030167     DOI: 10.1097/MLG.0b013e318159aa26

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  17 in total

1.  Computed nasal resistance compared with patient-reported symptoms in surgically treated nasal airway passages: a preliminary report.

Authors:  Julia S Kimbell; Guilherme J M Garcia; Dennis O Frank; Daniel E Cannon; Sachin S Pawar; John S Rhee
Journal:  Am J Rhinol Allergy       Date:  2012 May-Jun       Impact factor: 2.467

2.  A comparative study of endoscopic septoplasty versus conventional septoplasty.

Authors:  D C Sathyaki; Chary Geetha; G B Munishwara; M Mohan; K Manjuanth
Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2013-11-24

3.  Computational fluid dynamics as surgical planning tool: a pilot study on middle turbinate resection.

Authors:  Kai Zhao; Prashant Malhotra; David Rosen; Pamela Dalton; Edmund A Pribitkin
Journal:  Anat Rec (Hoboken)       Date:  2014-11       Impact factor: 2.064

4.  Computational fluid dynamics: a suitable assessment tool for demonstrating the antiobstructive effect of drugs in the therapy of allergic rhinitis.

Authors:  N Achilles; N Pasch; A Lintermann; W Schröder; R Mösges
Journal:  Acta Otorhinolaryngol Ital       Date:  2013-02       Impact factor: 2.124

Review 5.  Fronto-turbinalis sinus expansion and headache.

Authors:  Giuseppe Sanges; Michele Feleppa; Mario Gamerra; Gerardo Sorrentino; Roberto De Luca; Maddalena Merone; Luigi Cacace; Marcelo Eduardo Bigal
Journal:  Curr Pain Headache Rep       Date:  2011-08

6.  Toward personalized nasal surgery using computational fluid dynamics.

Authors:  John S Rhee; Sachin S Pawar; Guilherme J M Garcia; Julia S Kimbell
Journal:  Arch Facial Plast Surg       Date:  2011-04-18

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

Authors:  Azadeh A T Borojeni; Dennis O Frank-Ito; Julia S Kimbell; John S Rhee; Guilherme J M Garcia
Journal:  Int J Numer Method Biomed Eng       Date:  2016-09-21       Impact factor: 2.747

8.  Characterization of postoperative changes in nasal airflow using a cadaveric computational fluid dynamics model: supporting the internal nasal valve.

Authors:  Scott Shadfar; William W Shockley; Gita M Fleischman; Anand R Dugar; Kibwei A McKinney; Dennis O Frank-Ito; Julia S Kimbell
Journal:  JAMA Facial Plast Surg       Date:  2014 Sep-Oct       Impact factor: 4.611

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.  A hierarchical stepwise approach to evaluate nasal patency after virtual surgery for nasal airway obstruction.

Authors:  Dennis O Frank-Ito; Julia S Kimbell; Azadeh A T Borojeni; Guilherme J M Garcia; John S Rhee
Journal:  Clin Biomech (Bristol, Avon)       Date:  2018-12-19       Impact factor: 2.063

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