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Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study
INTRODUCTION: The impact of the nasal septum morphology on the severity of obstruction symptoms has not been fully explored. OBJECTIVE: This study aimed to investigate whether the morphology of the deviated nasal septum assessed by computed tomography may explain nasal obstruction severity. METHODS:...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483930/ https://www.ncbi.nlm.nih.gov/pubmed/33132090 http://dx.doi.org/10.1016/j.bjorl.2020.09.004 |
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author | Janovic, Natasa Janovic, Aleksa Milicic, Biljana Djuric, Marija |
author_facet | Janovic, Natasa Janovic, Aleksa Milicic, Biljana Djuric, Marija |
author_sort | Janovic, Natasa |
collection | PubMed |
description | INTRODUCTION: The impact of the nasal septum morphology on the severity of obstruction symptoms has not been fully explored. OBJECTIVE: This study aimed to investigate whether the morphology of the deviated nasal septum assessed by computed tomography may explain nasal obstruction severity. METHODS: The study included 386 patients who were referred to the computed tomography examination of the paranasal sinuses. Patient selection criteria were the absence of facial anomalies, facial trauma, nasal surgery, and sinonasal tumors. Computed tomography images were used to estimate deviated nasal septum prevalence, the prevalence of Mladina's seven types of deviated nasal septum, and to measure the deviated nasal septum angle. Nasal obstruction severity was assessed by the nasal obstruction symptom evaluation, NOSE scale. The relationship between NOSE score, deviated nasal septum morphology, and deviated nasal septum angle was performed by a statistical regression model on the reduced sample of 225 patients. RESULTS: The prevalence of deviated nasal septum was 92.7%. Type 7 deviated nasal septum was the most frequent (34.2%) followed by type 5 (26.2%) and type 3 (23.6%). The worst NOSE scores were recorded in the type 2 deviated nasal septum (45.00 ± 28.28). The mean deviated nasal septum angle in patients with nasal obstruction was 8.5° ± 3.24. NOSE scores were not significantly associated with deviated nasal septum types and angles. CONCLUSION: Patients with different types of deviated nasal septum have different NOSE scores. Computed tomography morphology of the deviated nasal septum could not fully explain the severity of nasal obstruction. |
format | Online Article Text |
id | pubmed-9483930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94839302022-09-20 Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study Janovic, Natasa Janovic, Aleksa Milicic, Biljana Djuric, Marija Braz J Otorhinolaryngol Original Article INTRODUCTION: The impact of the nasal septum morphology on the severity of obstruction symptoms has not been fully explored. OBJECTIVE: This study aimed to investigate whether the morphology of the deviated nasal septum assessed by computed tomography may explain nasal obstruction severity. METHODS: The study included 386 patients who were referred to the computed tomography examination of the paranasal sinuses. Patient selection criteria were the absence of facial anomalies, facial trauma, nasal surgery, and sinonasal tumors. Computed tomography images were used to estimate deviated nasal septum prevalence, the prevalence of Mladina's seven types of deviated nasal septum, and to measure the deviated nasal septum angle. Nasal obstruction severity was assessed by the nasal obstruction symptom evaluation, NOSE scale. The relationship between NOSE score, deviated nasal septum morphology, and deviated nasal septum angle was performed by a statistical regression model on the reduced sample of 225 patients. RESULTS: The prevalence of deviated nasal septum was 92.7%. Type 7 deviated nasal septum was the most frequent (34.2%) followed by type 5 (26.2%) and type 3 (23.6%). The worst NOSE scores were recorded in the type 2 deviated nasal septum (45.00 ± 28.28). The mean deviated nasal septum angle in patients with nasal obstruction was 8.5° ± 3.24. NOSE scores were not significantly associated with deviated nasal septum types and angles. CONCLUSION: Patients with different types of deviated nasal septum have different NOSE scores. Computed tomography morphology of the deviated nasal septum could not fully explain the severity of nasal obstruction. Elsevier 2020-10-10 /pmc/articles/PMC9483930/ /pubmed/33132090 http://dx.doi.org/10.1016/j.bjorl.2020.09.004 Text en © 2020 Associação Brasileira de Otorrinolaringologia e Cirurgia Cérvico-Facial. Published by Elsevier Editora Ltda. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Article Janovic, Natasa Janovic, Aleksa Milicic, Biljana Djuric, Marija Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study |
title | Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study |
title_full | Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study |
title_fullStr | Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study |
title_full_unstemmed | Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study |
title_short | Relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study |
title_sort | relationship between nasal septum morphology and nasal obstruction symptom severity: computed tomography study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483930/ https://www.ncbi.nlm.nih.gov/pubmed/33132090 http://dx.doi.org/10.1016/j.bjorl.2020.09.004 |
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