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Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study
In the present study, we aimed to assess frontal ethmoidal cells by using segmentation 3D software to establish a possible correlation between volume variation and both gender and age, as well as a relationship with Keros classification. Helical computed tomography images were obtained from 71 patie...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783541/ https://www.ncbi.nlm.nih.gov/pubmed/36548525 http://dx.doi.org/10.3390/tomography8060233 |
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author | Ricardo, Ana Lúcia Franco Ogawa, Celso Massahiro Gomes, João Pedro Perez De Rosa, Catharina Simioni Lopes, Sérgio Lúcio Pereira de Castro Braz-Silva, Paulo Henrique Orhan, Kaan Costa, Andre Luiz Ferreira |
author_facet | Ricardo, Ana Lúcia Franco Ogawa, Celso Massahiro Gomes, João Pedro Perez De Rosa, Catharina Simioni Lopes, Sérgio Lúcio Pereira de Castro Braz-Silva, Paulo Henrique Orhan, Kaan Costa, Andre Luiz Ferreira |
author_sort | Ricardo, Ana Lúcia Franco |
collection | PubMed |
description | In the present study, we aimed to assess frontal ethmoidal cells by using segmentation 3D software to establish a possible correlation between volume variation and both gender and age, as well as a relationship with Keros classification. Helical computed tomography images were obtained from 71 patients for analysis, in which the agger nasi cell, supra agger cell, supra agger frontal cell, supra bulla frontal cell, supraorbital ethmoidal cell, supra bulla cell, and frontal septal cell were identified and segmented to obtain their volume. Significant differences in volume were found for age and gender regarding agger nasi cells (p-value = 0.017), supra agger cells (p-value < 0.001), and frontal septal cells (p-value = 0.049). In the frontal septal cells, an increase of one year in age reduced the volume by 0.309, on average. According to Keros classification, the mean volumes were 10.07 and 25.64, respectively, for types II and III, both being greater than that of type I. Extracting volumetric data by using segmentation software in agger nasi cells, supra agger cells, and frontal septal cells may be useful for obtaining additional information related to age, in addition to possibly contributing to elucidating the anatomical variations in the region and an identification forensic tool. |
format | Online Article Text |
id | pubmed-9783541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97835412022-12-24 Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study Ricardo, Ana Lúcia Franco Ogawa, Celso Massahiro Gomes, João Pedro Perez De Rosa, Catharina Simioni Lopes, Sérgio Lúcio Pereira de Castro Braz-Silva, Paulo Henrique Orhan, Kaan Costa, Andre Luiz Ferreira Tomography Article In the present study, we aimed to assess frontal ethmoidal cells by using segmentation 3D software to establish a possible correlation between volume variation and both gender and age, as well as a relationship with Keros classification. Helical computed tomography images were obtained from 71 patients for analysis, in which the agger nasi cell, supra agger cell, supra agger frontal cell, supra bulla frontal cell, supraorbital ethmoidal cell, supra bulla cell, and frontal septal cell were identified and segmented to obtain their volume. Significant differences in volume were found for age and gender regarding agger nasi cells (p-value = 0.017), supra agger cells (p-value < 0.001), and frontal septal cells (p-value = 0.049). In the frontal septal cells, an increase of one year in age reduced the volume by 0.309, on average. According to Keros classification, the mean volumes were 10.07 and 25.64, respectively, for types II and III, both being greater than that of type I. Extracting volumetric data by using segmentation software in agger nasi cells, supra agger cells, and frontal septal cells may be useful for obtaining additional information related to age, in addition to possibly contributing to elucidating the anatomical variations in the region and an identification forensic tool. MDPI 2022-11-24 /pmc/articles/PMC9783541/ /pubmed/36548525 http://dx.doi.org/10.3390/tomography8060233 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ricardo, Ana Lúcia Franco Ogawa, Celso Massahiro Gomes, João Pedro Perez De Rosa, Catharina Simioni Lopes, Sérgio Lúcio Pereira de Castro Braz-Silva, Paulo Henrique Orhan, Kaan Costa, Andre Luiz Ferreira Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study |
title | Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study |
title_full | Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study |
title_fullStr | Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study |
title_full_unstemmed | Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study |
title_short | Three-Dimensional Volumetric Analysis of Frontal Ethmoidal Cells and Evaluation of Influential Factors: A Helical Computed Tomography Study |
title_sort | three-dimensional volumetric analysis of frontal ethmoidal cells and evaluation of influential factors: a helical computed tomography study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9783541/ https://www.ncbi.nlm.nih.gov/pubmed/36548525 http://dx.doi.org/10.3390/tomography8060233 |
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