Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1155/2019/4134260 http://hdl.handle.net/11449/187670 |
Resumo: | This study aimed to investigate the olfactory fossa according to the Keros classification using cone beam computed tomography. This cross-sectional study analysed cone beam computed tomography images selected from a database belonging to a radiology centre. The scans of 174 healthy patients were analysed by using the Xoran software. Gender, age, and side were correlated with the Keros classification. The mean age of the 174 patients was 45.3 years. The most prevalent Keros classification was type II (65.52%), followed by type III (20.69%) and type I (13.79%). No significant differences were found between Keros classification and the variables age, right side (p value = 0.4620), and left side (p value = 0.5709). There were also no significant differences between gender and the variables right side (p value = 0.1421) and left side (p value = 0.2136). Based on these results, we suggest that cone beam computed tomography can be recommended for analysis of the anterior skull base. Keros type II was the most prevalent type in our sample. |
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Repositório Institucional da UNESP |
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Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory FossaThis study aimed to investigate the olfactory fossa according to the Keros classification using cone beam computed tomography. This cross-sectional study analysed cone beam computed tomography images selected from a database belonging to a radiology centre. The scans of 174 healthy patients were analysed by using the Xoran software. Gender, age, and side were correlated with the Keros classification. The mean age of the 174 patients was 45.3 years. The most prevalent Keros classification was type II (65.52%), followed by type III (20.69%) and type I (13.79%). No significant differences were found between Keros classification and the variables age, right side (p value = 0.4620), and left side (p value = 0.5709). There were also no significant differences between gender and the variables right side (p value = 0.1421) and left side (p value = 0.2136). Based on these results, we suggest that cone beam computed tomography can be recommended for analysis of the anterior skull base. Keros type II was the most prevalent type in our sample.Postgraduate Program in Dentistry Cruzeiro do Sul University (UNICSUL)Department of Diagnosis and Surgery São José dos Campos Dental School São Paulo State University (UNESP)Department of Orthodontics and Radiology University of São Paulo City (UNICID)Department of Diagnosis and Surgery São José dos Campos Dental School São Paulo State University (UNESP)Cruzeiro do Sul University (UNICSUL)Universidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Costa, Andre Luiz FerreiraPaixão, Aline Kataki [UNESP]Gonçalves, Bianca Costa [UNESP]Ogawa, Celso MassahiroMartinelli, ThiagoMaeda, Fernando AkioTrivino, TarcilaLopes, Sérgio Lucio Pereira De Castro [UNESP]2019-10-06T15:43:37Z2019-10-06T15:43:37Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1155/2019/4134260International Journal of Dentistry, v. 2019.1687-87361687-8728http://hdl.handle.net/11449/18767010.1155/2019/41342602-s2.0-85065772607Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Dentistryinfo:eu-repo/semantics/openAccess2021-10-22T21:16:02Zoai:repositorio.unesp.br:11449/187670Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:38:22.451228Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa |
title |
Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa |
spellingShingle |
Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa Costa, Andre Luiz Ferreira |
title_short |
Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa |
title_full |
Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa |
title_fullStr |
Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa |
title_full_unstemmed |
Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa |
title_sort |
Cone Beam Computed Tomography-Based Anatomical Assessment of the Olfactory Fossa |
author |
Costa, Andre Luiz Ferreira |
author_facet |
Costa, Andre Luiz Ferreira Paixão, Aline Kataki [UNESP] Gonçalves, Bianca Costa [UNESP] Ogawa, Celso Massahiro Martinelli, Thiago Maeda, Fernando Akio Trivino, Tarcila Lopes, Sérgio Lucio Pereira De Castro [UNESP] |
author_role |
author |
author2 |
Paixão, Aline Kataki [UNESP] Gonçalves, Bianca Costa [UNESP] Ogawa, Celso Massahiro Martinelli, Thiago Maeda, Fernando Akio Trivino, Tarcila Lopes, Sérgio Lucio Pereira De Castro [UNESP] |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Cruzeiro do Sul University (UNICSUL) Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Costa, Andre Luiz Ferreira Paixão, Aline Kataki [UNESP] Gonçalves, Bianca Costa [UNESP] Ogawa, Celso Massahiro Martinelli, Thiago Maeda, Fernando Akio Trivino, Tarcila Lopes, Sérgio Lucio Pereira De Castro [UNESP] |
description |
This study aimed to investigate the olfactory fossa according to the Keros classification using cone beam computed tomography. This cross-sectional study analysed cone beam computed tomography images selected from a database belonging to a radiology centre. The scans of 174 healthy patients were analysed by using the Xoran software. Gender, age, and side were correlated with the Keros classification. The mean age of the 174 patients was 45.3 years. The most prevalent Keros classification was type II (65.52%), followed by type III (20.69%) and type I (13.79%). No significant differences were found between Keros classification and the variables age, right side (p value = 0.4620), and left side (p value = 0.5709). There were also no significant differences between gender and the variables right side (p value = 0.1421) and left side (p value = 0.2136). Based on these results, we suggest that cone beam computed tomography can be recommended for analysis of the anterior skull base. Keros type II was the most prevalent type in our sample. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T15:43:37Z 2019-10-06T15:43:37Z 2019-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1155/2019/4134260 International Journal of Dentistry, v. 2019. 1687-8736 1687-8728 http://hdl.handle.net/11449/187670 10.1155/2019/4134260 2-s2.0-85065772607 |
url |
http://dx.doi.org/10.1155/2019/4134260 http://hdl.handle.net/11449/187670 |
identifier_str_mv |
International Journal of Dentistry, v. 2019. 1687-8736 1687-8728 10.1155/2019/4134260 2-s2.0-85065772607 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Journal of Dentistry |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128219314913280 |