Development of a customized three-dimensional airway model

Detalhes bibliográficos
Autor(a) principal: Tonetto, Mateus Samuel
Data de Publicação: 2022
Outros Autores: Oliveira, Hugo Goulart de, Muller, Andre Frotta, Sanches, Paulo Roberto Stefani, Folador, Luciano, Torres, Felipe Soares, Garcia, Tiago Severo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/31721
Resumo: This study aimed to develop a customized, three-dimensional airway model based on relevant medical images, using additive manufacturing techniques. We evaluated the model’s ability to replicate the dimensions of the images acquired from the chest of a patient using multi-detector computed tomography (CT). Using dedicated software, a three-dimensional mesh was created based on the images. A multi-detector CT study of the full-scale printed three-dimensional airways model was subsequently carried out to compare its dimensions with that of the original study at four predetermined points. The observed median differences at the four points were 0.4 mm (p = 0.686), -1.3 mm (p = 0.138), 0.7 mm (p = 0.141), and 0.1 mm (p = 0.892). The intraclass correlation coefficient between the measurements made on the patient and those on the model was 0.98 (95% confidence interval: 0.96–0.99, p < 0.001). We successfully developed a three-dimensional model of the airway based on its corresponding medical images. The differences in the dimensions between the model and the original images were in line with those observed in previous studies and are presumably irrelevant for most applications.
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spelling Development of a customized three-dimensional airway modelDesarrollo de un modelo de vía aérea tridimensional personalizadoDesenvolvimento de um modelo tridimensional customizado de vias aéreasImpressão 3DTomografia computadorizada multiplos detectoresSimulaçãoTreinamento.Impresión tridimensionalSimulaciónTomografía Computarizada MultidetectorCapacitación.Multi-detector Computed TomographySimulationPrinting, Three-DimensionalTraining.This study aimed to develop a customized, three-dimensional airway model based on relevant medical images, using additive manufacturing techniques. We evaluated the model’s ability to replicate the dimensions of the images acquired from the chest of a patient using multi-detector computed tomography (CT). Using dedicated software, a three-dimensional mesh was created based on the images. A multi-detector CT study of the full-scale printed three-dimensional airways model was subsequently carried out to compare its dimensions with that of the original study at four predetermined points. The observed median differences at the four points were 0.4 mm (p = 0.686), -1.3 mm (p = 0.138), 0.7 mm (p = 0.141), and 0.1 mm (p = 0.892). The intraclass correlation coefficient between the measurements made on the patient and those on the model was 0.98 (95% confidence interval: 0.96–0.99, p < 0.001). We successfully developed a three-dimensional model of the airway based on its corresponding medical images. The differences in the dimensions between the model and the original images were in line with those observed in previous studies and are presumably irrelevant for most applications.Este estudio tuvo como objetivo desarrollar un modelo de vía aérea tridimensional personalizado basado en imágenes médicas relevantes, utilizando técnicas de fabricación aditiva. Evaluamos la capacidad del modelo para replicar las dimensiones de las imágenes adquiridas del tórax de un paciente mediante tomografía computarizada (TC) multidetector. Usando un software dedicado, se creó una malla tridimensional basada en las imágenes. Se adquirió un estudio de TC multidetector del modelo tridimensional a gran escala de la vía aérea para comparar sus dimensiones con las del estudio original en cuatro puntos predeterminados. Las medianas de las diferencias observadas en los cuatro puntos fueron de 0,4 mm (p = 0,686), -1,3 mm (p = 0,138), 0,7 mm (p = 0,141) y 0,1 mm (p = 0,892). El coeficiente de correlación intraclase entre las medidas del paciente y del modelo fue de 0,98 (intervalo de confianza del 95 %: 0,96-0,99, p < 0,001). Hemos desarrollado con éxito un modelo tridimensional de la vía aérea a partir de sus correspondientes imágenes médicas. Las diferencias en las dimensiones entre el modelo y las imágenes originales estaban en línea con las observadas en estudios previos y presumiblemente son irrelevantes para la mayoría de las aplicaciones.Este estudo teve como objetivo desenvolver um modelo de vias aéreas tridimensional customizado com base em imagens médicas relevantes, usando técnicas de manufatura aditiva. Avaliamos a capacidade do modelo de replicar as dimensões das imagens adquiridas do tórax de um paciente usando tomografia computadorizada (TC) de múltiplos detectores. Usando um software dedicado, uma malha tridimensional foi criada com base nas imagens. Um estudo de TC com múltiplos detectores do modelo tridimensional de vias aéreas impresso em escala real foi posteriormente adquirido para comparar suas dimensões com as do estudo original em quatro pontos pré-determinados. As diferenças medianas observadas nos quatro pontos foram 0,4 mm (p = 0,686), -1,3 mm (p = 0,138), 0,7 mm (p = 0,141) e 0,1 mm (p = 0,892). O coeficiente de correlação intraclasse entre as medidas do paciente e do modelo foi de 0,98 (intervalo de confiança de 95%: 0,96–0,99, p < 0,001). Desenvolvemos com sucesso um modelo tridimensional da via aérea com base em suas imagens médicas correspondentes. As diferenças nas dimensões entre o modelo e as imagens originais estavam de acordo com as observadas em estudos anteriores e são presumivelmente irrelevantes para a maioria das aplicações.Research, Society and Development2022-07-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3172110.33448/rsd-v11i9.31721Research, Society and Development; Vol. 11 No. 9; e33111931721Research, Society and Development; Vol. 11 Núm. 9; e33111931721Research, Society and Development; v. 11 n. 9; e331119317212525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/31721/27463Copyright (c) 2022 Mateus Samuel Tonetto; Hugo Goulart de Oliveira; Andre Frotta Muller; Paulo Roberto Stefani Sanches; Luciano Folador; Felipe Soares Torres; Tiago Severo Garciahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTonetto, Mateus SamuelOliveira, Hugo Goulart de Muller, Andre FrottaSanches, Paulo Roberto StefaniFolador, LucianoTorres, Felipe SoaresGarcia, Tiago Severo2022-07-21T12:36:16Zoai:ojs.pkp.sfu.ca:article/31721Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:47:58.013589Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Development of a customized three-dimensional airway model
Desarrollo de un modelo de vía aérea tridimensional personalizado
Desenvolvimento de um modelo tridimensional customizado de vias aéreas
title Development of a customized three-dimensional airway model
spellingShingle Development of a customized three-dimensional airway model
Tonetto, Mateus Samuel
Impressão 3D
Tomografia computadorizada multiplos detectores
Simulação
Treinamento.
Impresión tridimensional
Simulación
Tomografía Computarizada Multidetector
Capacitación.
Multi-detector Computed Tomography
Simulation
Printing, Three-Dimensional
Training.
title_short Development of a customized three-dimensional airway model
title_full Development of a customized three-dimensional airway model
title_fullStr Development of a customized three-dimensional airway model
title_full_unstemmed Development of a customized three-dimensional airway model
title_sort Development of a customized three-dimensional airway model
author Tonetto, Mateus Samuel
author_facet Tonetto, Mateus Samuel
Oliveira, Hugo Goulart de
Muller, Andre Frotta
Sanches, Paulo Roberto Stefani
Folador, Luciano
Torres, Felipe Soares
Garcia, Tiago Severo
author_role author
author2 Oliveira, Hugo Goulart de
Muller, Andre Frotta
Sanches, Paulo Roberto Stefani
Folador, Luciano
Torres, Felipe Soares
Garcia, Tiago Severo
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Tonetto, Mateus Samuel
Oliveira, Hugo Goulart de
Muller, Andre Frotta
Sanches, Paulo Roberto Stefani
Folador, Luciano
Torres, Felipe Soares
Garcia, Tiago Severo
dc.subject.por.fl_str_mv Impressão 3D
Tomografia computadorizada multiplos detectores
Simulação
Treinamento.
Impresión tridimensional
Simulación
Tomografía Computarizada Multidetector
Capacitación.
Multi-detector Computed Tomography
Simulation
Printing, Three-Dimensional
Training.
topic Impressão 3D
Tomografia computadorizada multiplos detectores
Simulação
Treinamento.
Impresión tridimensional
Simulación
Tomografía Computarizada Multidetector
Capacitación.
Multi-detector Computed Tomography
Simulation
Printing, Three-Dimensional
Training.
description This study aimed to develop a customized, three-dimensional airway model based on relevant medical images, using additive manufacturing techniques. We evaluated the model’s ability to replicate the dimensions of the images acquired from the chest of a patient using multi-detector computed tomography (CT). Using dedicated software, a three-dimensional mesh was created based on the images. A multi-detector CT study of the full-scale printed three-dimensional airways model was subsequently carried out to compare its dimensions with that of the original study at four predetermined points. The observed median differences at the four points were 0.4 mm (p = 0.686), -1.3 mm (p = 0.138), 0.7 mm (p = 0.141), and 0.1 mm (p = 0.892). The intraclass correlation coefficient between the measurements made on the patient and those on the model was 0.98 (95% confidence interval: 0.96–0.99, p < 0.001). We successfully developed a three-dimensional model of the airway based on its corresponding medical images. The differences in the dimensions between the model and the original images were in line with those observed in previous studies and are presumably irrelevant for most applications.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/31721
10.33448/rsd-v11i9.31721
url https://rsdjournal.org/index.php/rsd/article/view/31721
identifier_str_mv 10.33448/rsd-v11i9.31721
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/31721/27463
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 9; e33111931721
Research, Society and Development; Vol. 11 Núm. 9; e33111931721
Research, Society and Development; v. 11 n. 9; e33111931721
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052716950749184

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