Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1371/journal.pone.0190770 http://hdl.handle.net/11449/179483 |
Resumo: | Volume measurements of maxillary sinus may be useful to identify diseases affecting paranasal sinuses. However, literature shows a lack of consensus in studies measuring the volume. This may be attributable to different computed tomography data acquisition techniques, segmentation methods, focuses of investigation, among other reasons. Furthermore, methods for volumetrically quantifying the maxillary sinus are commonly manual or semiautomated, which require substantial user expertise and are time-consuming. The purpose of the present study was to develop an automated tool for quantifying the total and air-free volume of the maxillary sinus based on computed tomography images. The quantification tool seeks to standardize maxillary sinus volume measurements, thus allowing better comparisons and determinations of factors that influence maxillary sinus size. The automated tool utilized image processing techniques (watershed, threshold, and morphological operators). The maxillary sinus volume was quantified in 30 patients. To evaluate the accuracy of the automated tool, the results were compared with manual segmentation that was performed by an experienced radiologist using a standard procedure. The mean percent differences between the automated and manual methods were 7.19% ± 5.83% and 6.93% ± 4.29% for total and air-free maxillary sinus volume, respectively. Linear regression and Bland-Altman statistics showed good agreement and low dispersion between both methods. The present automated tool for maxillary sinus volume assessment was rapid, reliable, robust, accurate, and reproducible and may be applied in clinical practice. The tool may be used to standardize measurements of maxillary volume. Such standardization is extremely important for allowing comparisons between studies, providing a better understanding of the role of the maxillary sinus, and determining the factors that influence maxillary sinus size under normal and pathological conditions. |
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Computed tomography-based volumetric tool for standardized measurement of the maxillary sinusVolume measurements of maxillary sinus may be useful to identify diseases affecting paranasal sinuses. However, literature shows a lack of consensus in studies measuring the volume. This may be attributable to different computed tomography data acquisition techniques, segmentation methods, focuses of investigation, among other reasons. Furthermore, methods for volumetrically quantifying the maxillary sinus are commonly manual or semiautomated, which require substantial user expertise and are time-consuming. The purpose of the present study was to develop an automated tool for quantifying the total and air-free volume of the maxillary sinus based on computed tomography images. The quantification tool seeks to standardize maxillary sinus volume measurements, thus allowing better comparisons and determinations of factors that influence maxillary sinus size. The automated tool utilized image processing techniques (watershed, threshold, and morphological operators). The maxillary sinus volume was quantified in 30 patients. To evaluate the accuracy of the automated tool, the results were compared with manual segmentation that was performed by an experienced radiologist using a standard procedure. The mean percent differences between the automated and manual methods were 7.19% ± 5.83% and 6.93% ± 4.29% for total and air-free maxillary sinus volume, respectively. Linear regression and Bland-Altman statistics showed good agreement and low dispersion between both methods. The present automated tool for maxillary sinus volume assessment was rapid, reliable, robust, accurate, and reproducible and may be applied in clinical practice. The tool may be used to standardize measurements of maxillary volume. Such standardization is extremely important for allowing comparisons between studies, providing a better understanding of the role of the maxillary sinus, and determining the factors that influence maxillary sinus size under normal and pathological conditions.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Frans-Nederlandse AcademieInstituto Nacional de Ciência e Tecnologia de Medicina MolecularInstituto de Biociências de Botucatu Universidade Estadual Paulista (IBB-UNESP)Hospital de Clínicas Universidade Estadual de Campinas (HC-UNICAMP)Centro Brasileiro de Pesquisas Físicas (CBPF) Rio de JaneiroFaculdade de Medicina de Botucatu Universidade Estadual Paulista (FMB-UNESP)Instituto de Biociências de Botucatu Universidade Estadual Paulista (IBB-UNESP)Faculdade de Medicina de Botucatu Universidade Estadual Paulista (FMB-UNESP)Frans-Nederlandse Academie: 464898/2014-5Universidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Rio de JaneiroGiacomini, Guilherme [UNESP]Pavan, Ana Luiza Menegatti [UNESP]Altemani, João Mauricio CarrascoDuarte, Sergio BarbosaFortaleza, Carlos Magno Castelo Branco [UNESP]Miranda, José Ricardo de Arruda [UNESP]De Pina, Diana Rodrigues [UNESP]2018-12-11T17:35:22Z2018-12-11T17:35:22Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1371/journal.pone.0190770PLoS ONE, v. 13, n. 1, 2018.1932-6203http://hdl.handle.net/11449/17948310.1371/journal.pone.01907702-s2.0-850400392882-s2.0-85040039288.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengPLoS ONE1,164info:eu-repo/semantics/openAccess2023-12-29T06:17:50Zoai:repositorio.unesp.br:11449/179483Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-29T06:17:50Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus |
title |
Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus |
spellingShingle |
Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus Giacomini, Guilherme [UNESP] |
title_short |
Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus |
title_full |
Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus |
title_fullStr |
Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus |
title_full_unstemmed |
Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus |
title_sort |
Computed tomography-based volumetric tool for standardized measurement of the maxillary sinus |
author |
Giacomini, Guilherme [UNESP] |
author_facet |
Giacomini, Guilherme [UNESP] Pavan, Ana Luiza Menegatti [UNESP] Altemani, João Mauricio Carrasco Duarte, Sergio Barbosa Fortaleza, Carlos Magno Castelo Branco [UNESP] Miranda, José Ricardo de Arruda [UNESP] De Pina, Diana Rodrigues [UNESP] |
author_role |
author |
author2 |
Pavan, Ana Luiza Menegatti [UNESP] Altemani, João Mauricio Carrasco Duarte, Sergio Barbosa Fortaleza, Carlos Magno Castelo Branco [UNESP] Miranda, José Ricardo de Arruda [UNESP] De Pina, Diana Rodrigues [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Estadual de Campinas (UNICAMP) Rio de Janeiro |
dc.contributor.author.fl_str_mv |
Giacomini, Guilherme [UNESP] Pavan, Ana Luiza Menegatti [UNESP] Altemani, João Mauricio Carrasco Duarte, Sergio Barbosa Fortaleza, Carlos Magno Castelo Branco [UNESP] Miranda, José Ricardo de Arruda [UNESP] De Pina, Diana Rodrigues [UNESP] |
description |
Volume measurements of maxillary sinus may be useful to identify diseases affecting paranasal sinuses. However, literature shows a lack of consensus in studies measuring the volume. This may be attributable to different computed tomography data acquisition techniques, segmentation methods, focuses of investigation, among other reasons. Furthermore, methods for volumetrically quantifying the maxillary sinus are commonly manual or semiautomated, which require substantial user expertise and are time-consuming. The purpose of the present study was to develop an automated tool for quantifying the total and air-free volume of the maxillary sinus based on computed tomography images. The quantification tool seeks to standardize maxillary sinus volume measurements, thus allowing better comparisons and determinations of factors that influence maxillary sinus size. The automated tool utilized image processing techniques (watershed, threshold, and morphological operators). The maxillary sinus volume was quantified in 30 patients. To evaluate the accuracy of the automated tool, the results were compared with manual segmentation that was performed by an experienced radiologist using a standard procedure. The mean percent differences between the automated and manual methods were 7.19% ± 5.83% and 6.93% ± 4.29% for total and air-free maxillary sinus volume, respectively. Linear regression and Bland-Altman statistics showed good agreement and low dispersion between both methods. The present automated tool for maxillary sinus volume assessment was rapid, reliable, robust, accurate, and reproducible and may be applied in clinical practice. The tool may be used to standardize measurements of maxillary volume. Such standardization is extremely important for allowing comparisons between studies, providing a better understanding of the role of the maxillary sinus, and determining the factors that influence maxillary sinus size under normal and pathological conditions. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T17:35:22Z 2018-12-11T17:35:22Z 2018-01-01 |
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/10.1371/journal.pone.0190770 PLoS ONE, v. 13, n. 1, 2018. 1932-6203 http://hdl.handle.net/11449/179483 10.1371/journal.pone.0190770 2-s2.0-85040039288 2-s2.0-85040039288.pdf |
url |
http://dx.doi.org/10.1371/journal.pone.0190770 http://hdl.handle.net/11449/179483 |
identifier_str_mv |
PLoS ONE, v. 13, n. 1, 2018. 1932-6203 10.1371/journal.pone.0190770 2-s2.0-85040039288 2-s2.0-85040039288.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PLoS ONE 1,164 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 |
|
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1803650114361753600 |