Smartphone and computer cephalometric analysis: A trueness and precision study

Detalhes bibliográficos
Autor(a) principal: Amorim,Mónica
Data de Publicação: 2022
Outros Autores: Diamantino,Fernanda, Pereira,Rui, Jardim,Luís
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-28902022000400204
Resumo: Abstract Objectives: Performing digital cephalometric analysis on apps is a convenient feature of handheld devices. The objective of this study was to assess the accuracy of the OneCeph cephalometric tracing app on a smartphone and computer. Methods: 34 lateral cephalograms were traced in two sessions using three methods: OneCeph on a smartphone, OneCeph on a computer, and NemoCeph on a computer as the reference. For trueness analysis, the measurements were compared between each test method and the reference. For precision analysis, the measurements were compared between sessions. Results: Regarding trueness analysis, significant differences were found between OneCeph and NemoCeph for ANB (smartphone, -0.3±0.68; computer, -0.3±0.52), OL/SN (smartphone, -1.1±2.68; computer -2.0±2.98), and GoGn/SN (smartphone, -0.5±1.27; computer, -0.8±1.56). OneCeph reproducibility was high for all cephalometric variables except OL/SN, both on the smartphone and the computer (ICC [95%CI]: 0.888 [0.773-0.944] and 0.842 [0.583-0.931], respectively). Repeatability was high for all cephalometric variables except OL/SN and UINA on the smartphone (ICC [95%CI]: 0.889 [0.730-0.950] and 0.831 [0.687-0.912], respectively). Tracing time was significantly higher for both OneCeph methods. Conclusions: OneCeph demonstrated adequate accuracy and efficiency on both interfaces. Clinical judgment is advised when interpreting the measurement output of handheld devices, which may provide a higher frequency of gross landmark identification errors.
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spelling Smartphone and computer cephalometric analysis: A trueness and precision studyAccuracyAppsCephalometrySmartphoneAbstract Objectives: Performing digital cephalometric analysis on apps is a convenient feature of handheld devices. The objective of this study was to assess the accuracy of the OneCeph cephalometric tracing app on a smartphone and computer. Methods: 34 lateral cephalograms were traced in two sessions using three methods: OneCeph on a smartphone, OneCeph on a computer, and NemoCeph on a computer as the reference. For trueness analysis, the measurements were compared between each test method and the reference. For precision analysis, the measurements were compared between sessions. Results: Regarding trueness analysis, significant differences were found between OneCeph and NemoCeph for ANB (smartphone, -0.3±0.68; computer, -0.3±0.52), OL/SN (smartphone, -1.1±2.68; computer -2.0±2.98), and GoGn/SN (smartphone, -0.5±1.27; computer, -0.8±1.56). OneCeph reproducibility was high for all cephalometric variables except OL/SN, both on the smartphone and the computer (ICC [95%CI]: 0.888 [0.773-0.944] and 0.842 [0.583-0.931], respectively). Repeatability was high for all cephalometric variables except OL/SN and UINA on the smartphone (ICC [95%CI]: 0.889 [0.730-0.950] and 0.831 [0.687-0.912], respectively). Tracing time was significantly higher for both OneCeph methods. Conclusions: OneCeph demonstrated adequate accuracy and efficiency on both interfaces. Clinical judgment is advised when interpreting the measurement output of handheld devices, which may provide a higher frequency of gross landmark identification errors.Sociedade Portuguesa de Estomatologia e Medicina Dentária2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-28902022000400204Revista Portuguesa de Estomatologia, Medicina Dentária e Cirurgia Maxilofacial v.63 n.4 2022reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-28902022000400204Amorim,MónicaDiamantino,FernandaPereira,RuiJardim,Luísinfo:eu-repo/semantics/openAccess2024-02-06T17:21:12Zoai:scielo:S1646-28902022000400204Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:28:18.838447Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Smartphone and computer cephalometric analysis: A trueness and precision study
title Smartphone and computer cephalometric analysis: A trueness and precision study
spellingShingle Smartphone and computer cephalometric analysis: A trueness and precision study
Amorim,Mónica
Accuracy
Apps
Cephalometry
Smartphone
title_short Smartphone and computer cephalometric analysis: A trueness and precision study
title_full Smartphone and computer cephalometric analysis: A trueness and precision study
title_fullStr Smartphone and computer cephalometric analysis: A trueness and precision study
title_full_unstemmed Smartphone and computer cephalometric analysis: A trueness and precision study
title_sort Smartphone and computer cephalometric analysis: A trueness and precision study
author Amorim,Mónica
author_facet Amorim,Mónica
Diamantino,Fernanda
Pereira,Rui
Jardim,Luís
author_role author
author2 Diamantino,Fernanda
Pereira,Rui
Jardim,Luís
author2_role author
author
author
dc.contributor.author.fl_str_mv Amorim,Mónica
Diamantino,Fernanda
Pereira,Rui
Jardim,Luís
dc.subject.por.fl_str_mv Accuracy
Apps
Cephalometry
Smartphone
topic Accuracy
Apps
Cephalometry
Smartphone
description Abstract Objectives: Performing digital cephalometric analysis on apps is a convenient feature of handheld devices. The objective of this study was to assess the accuracy of the OneCeph cephalometric tracing app on a smartphone and computer. Methods: 34 lateral cephalograms were traced in two sessions using three methods: OneCeph on a smartphone, OneCeph on a computer, and NemoCeph on a computer as the reference. For trueness analysis, the measurements were compared between each test method and the reference. For precision analysis, the measurements were compared between sessions. Results: Regarding trueness analysis, significant differences were found between OneCeph and NemoCeph for ANB (smartphone, -0.3±0.68; computer, -0.3±0.52), OL/SN (smartphone, -1.1±2.68; computer -2.0±2.98), and GoGn/SN (smartphone, -0.5±1.27; computer, -0.8±1.56). OneCeph reproducibility was high for all cephalometric variables except OL/SN, both on the smartphone and the computer (ICC [95%CI]: 0.888 [0.773-0.944] and 0.842 [0.583-0.931], respectively). Repeatability was high for all cephalometric variables except OL/SN and UINA on the smartphone (ICC [95%CI]: 0.889 [0.730-0.950] and 0.831 [0.687-0.912], respectively). Tracing time was significantly higher for both OneCeph methods. Conclusions: OneCeph demonstrated adequate accuracy and efficiency on both interfaces. Clinical judgment is advised when interpreting the measurement output of handheld devices, which may provide a higher frequency of gross landmark identification errors.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-01
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://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-28902022000400204
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S1646-28902022000400204
dc.language.iso.fl_str_mv eng
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Portuguesa de Estomatologia e Medicina Dentária
publisher.none.fl_str_mv Sociedade Portuguesa de Estomatologia e Medicina Dentária
dc.source.none.fl_str_mv Revista Portuguesa de Estomatologia, Medicina Dentária e Cirurgia Maxilofacial v.63 n.4 2022
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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