Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation

Zeynep Önerci Altunay

doi:10.5152/ejra.2020.264

Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation

Abstract

Objective: The aim of this study is to investigate the effects of septal deviation on the aeration of the middle turbinate. Material and Methods: In this retrospective study, computed tomography (CT) scans of 100 individuals (50 males and 50 females) with nasal septal deviation were analyzed. The direction, angle, and grading of the septal deviation angle (SDA) and middle turbinate aeration and the presence of concha bullosa (CB) were evaluated in these paranasal sinus CTs. Results: Of the 100 patients, nasal septum was deviated to the right in 49 (49%) and to the left in 51 (51%). Generally, the incidence of CB was 24%. It was seen more on the nondeviated side, which was 33%, compared to the deviated side, which was 15%. The incidence of CB increased with the SDA grade: 21.5% in Grade 1, 25.6% in Grade 2, and 29.1% in Grade 3 Conclusion: The incidence of CB was higher in patients with nasal septal deviation, being more frequent on the nondeviated side. The incidence increased as the SDA grade increased.

Keywords

References

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Stallman JS, Lobo JN, Som PM. The incidence of concha bullosa and its relationship to nasal septal deviation and paranasal sinus disease. Am J Neuroradiol 2004; 25: 1613-8. Yiğit Ö, Acioğlu E, Alkan Cakir ZA, Şişman AS, Barut AY. Concha bullosa and septal deviation. Eur Arch Otorhinolaryngol 2010; 267: 1397-401.
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Details

Primary Language

English

Subjects

Otorhinolaryngology

Journal Section

Research Article

Authors

Zeynep Önerci Altunay This is me
0000-0002-9000-259X
Türkiye

Publication Date

April 1, 2020

Submission Date

January 26, 2020

Acceptance Date

March 2, 2020

Published in Issue

Year 2020 Volume: 3 Number: 1

DOI

https://doi.org/10.5152/ejra.2020.264

IZ

https://izlik.org/JA66ZE25SM

Cite

RIS / Bibtex

APA

Önerci Altunay, Z. (2020). Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation. European Journal of Rhinology and Allergy, 3(1), 10-12. https://doi.org/10.5152/ejra.2020.264

AMA

1.Önerci Altunay Z. Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation. Eur J Rhinol Allergy. 2020;3(1):10-12. doi:10.5152/ejra.2020.264

Chicago

Önerci Altunay, Zeynep. 2020. “Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation”. European Journal of Rhinology and Allergy 3 (1): 10-12. https://doi.org/10.5152/ejra.2020.264.

EndNote

Önerci Altunay Z (April 1, 2020) Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation. European Journal of Rhinology and Allergy 3 1 10–12.

IEEE

[1]Z. Önerci Altunay, “Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation”, Eur J Rhinol Allergy, vol. 3, no. 1, pp. 10–12, Apr. 2020, doi: 10.5152/ejra.2020.264.

ISNAD

Önerci Altunay, Zeynep. “Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation”. European Journal of Rhinology and Allergy 3/1 (April 1, 2020): 10-12. https://doi.org/10.5152/ejra.2020.264.

JAMA

1.Önerci Altunay Z. Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation. Eur J Rhinol Allergy. 2020;3:10–12.

MLA

Önerci Altunay, Zeynep. “Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation”. European Journal of Rhinology and Allergy, vol. 3, no. 1, Apr. 2020, pp. 10-12, doi:10.5152/ejra.2020.264.

Vancouver

1.Zeynep Önerci Altunay. Volumetric Computed Tomography Analysis of Middle Turbinate Aeration (Concha Bullosa) in Nasal Septal Deviation. Eur J Rhinol Allergy. 2020 Apr. 1;3(1):10-2. doi:10.5152/ejra.2020.264