Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery

Detalhes bibliográficos
Autor(a) principal: Gorla, Luís Fernando De Oliveira [UNESP]
Data de Publicação: 2023
Outros Autores: Dos Santos, José Cleveilton, Carvalho, Pedro Henrique De Azambuja, Hochuli-Vieira, Eduardo, Gabrielli, Marisa Aparecida Cabrini
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1097/SCS.0000000000009067
http://hdl.handle.net/11449/248936
Resumo: Cephalometric tracing done manually was considered gold standard for the cephalometric analysis in the last decades. The digital radiographs began to be commonly used in order to make that in a digital way. The objective was to define the accuracy of the predictive and final cephalometric tracings performed manually and virtually. The authors selected 20 patients submitted to bimaxillary orthognathic surgery. The data were collected from lateral cephalometric radiographs, in the preoperative and postoperative periods. The interest were: points, angles (Sella-Nasion to A point angle; Sella-Nasion to B point angle; Frankfurt plane to Mandibular plane angle; Frankfurt plane to occlusal plane angle; Upper and lower central incisors long axes angle; Incisor to Mandibular plane angle; Upper incisor axis to Sella-Nasion plane angle) distances (Co-A; Co-Gn). Data were submitted to the Shapiro-Wilk, analysis of variance, and Kruskal-Wallis tests. The measurement differences were compared using a t test. Descriptive statistics were performed in Excel 2013 and SPSS software, P<0.05 being considered significant. No statistically significant difference was found between the mean values predictive and postoperative of the angles and distances within the manual and digital groups. When comparing the means of the differences between the predictive values and the final values, only the 1:1 angle presented a statistically significant difference, indicating a greater accuracy of the digital predictive tracing for this measure. In conclusion, both methods for obtaining predictive tracings are accurate, which shows that clinical results can be successfully simulated by the most accessible technique.
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spelling Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic SurgeryCephalometrycomputer diagnosticsorthognathic surgeryCephalometric tracing done manually was considered gold standard for the cephalometric analysis in the last decades. The digital radiographs began to be commonly used in order to make that in a digital way. The objective was to define the accuracy of the predictive and final cephalometric tracings performed manually and virtually. The authors selected 20 patients submitted to bimaxillary orthognathic surgery. The data were collected from lateral cephalometric radiographs, in the preoperative and postoperative periods. The interest were: points, angles (Sella-Nasion to A point angle; Sella-Nasion to B point angle; Frankfurt plane to Mandibular plane angle; Frankfurt plane to occlusal plane angle; Upper and lower central incisors long axes angle; Incisor to Mandibular plane angle; Upper incisor axis to Sella-Nasion plane angle) distances (Co-A; Co-Gn). Data were submitted to the Shapiro-Wilk, analysis of variance, and Kruskal-Wallis tests. The measurement differences were compared using a t test. Descriptive statistics were performed in Excel 2013 and SPSS software, P<0.05 being considered significant. No statistically significant difference was found between the mean values predictive and postoperative of the angles and distances within the manual and digital groups. When comparing the means of the differences between the predictive values and the final values, only the 1:1 angle presented a statistically significant difference, indicating a greater accuracy of the digital predictive tracing for this measure. In conclusion, both methods for obtaining predictive tracings are accurate, which shows that clinical results can be successfully simulated by the most accessible technique.Department of Diagnostic and Surgery São Paulo State University (Unesp) School of Dentistry, AraraquaraDepartment of Diagnostic and Surgery São Paulo State University (Unesp) School of Dentistry, AraraquaraUniversidade Estadual Paulista (UNESP)Gorla, Luís Fernando De Oliveira [UNESP]Dos Santos, José CleveiltonCarvalho, Pedro Henrique De AzambujaHochuli-Vieira, EduardoGabrielli, Marisa Aparecida Cabrini2023-07-29T13:57:50Z2023-07-29T13:57:50Z2023-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1165-1169http://dx.doi.org/10.1097/SCS.0000000000009067Journal of Craniofacial Surgery, v. 34, n. 4, p. 1165-1169, 2023.1536-37321049-2275http://hdl.handle.net/11449/24893610.1097/SCS.00000000000090672-s2.0-85160969885Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Craniofacial Surgeryinfo:eu-repo/semantics/openAccess2024-09-26T15:21:47Zoai:repositorio.unesp.br:11449/248936Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-26T15:21:47Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery
title Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery
spellingShingle Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery
Gorla, Luís Fernando De Oliveira [UNESP]
Cephalometry
computer diagnostics
orthognathic surgery
title_short Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery
title_full Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery
title_fullStr Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery
title_full_unstemmed Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery
title_sort Accuracy of Manual and Virtual Predictive Tracings in Patients Submitted to Orthognathic Surgery
author Gorla, Luís Fernando De Oliveira [UNESP]
author_facet Gorla, Luís Fernando De Oliveira [UNESP]
Dos Santos, José Cleveilton
Carvalho, Pedro Henrique De Azambuja
Hochuli-Vieira, Eduardo
Gabrielli, Marisa Aparecida Cabrini
author_role author
author2 Dos Santos, José Cleveilton
Carvalho, Pedro Henrique De Azambuja
Hochuli-Vieira, Eduardo
Gabrielli, Marisa Aparecida Cabrini
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Gorla, Luís Fernando De Oliveira [UNESP]
Dos Santos, José Cleveilton
Carvalho, Pedro Henrique De Azambuja
Hochuli-Vieira, Eduardo
Gabrielli, Marisa Aparecida Cabrini
dc.subject.por.fl_str_mv Cephalometry
computer diagnostics
orthognathic surgery
topic Cephalometry
computer diagnostics
orthognathic surgery
description Cephalometric tracing done manually was considered gold standard for the cephalometric analysis in the last decades. The digital radiographs began to be commonly used in order to make that in a digital way. The objective was to define the accuracy of the predictive and final cephalometric tracings performed manually and virtually. The authors selected 20 patients submitted to bimaxillary orthognathic surgery. The data were collected from lateral cephalometric radiographs, in the preoperative and postoperative periods. The interest were: points, angles (Sella-Nasion to A point angle; Sella-Nasion to B point angle; Frankfurt plane to Mandibular plane angle; Frankfurt plane to occlusal plane angle; Upper and lower central incisors long axes angle; Incisor to Mandibular plane angle; Upper incisor axis to Sella-Nasion plane angle) distances (Co-A; Co-Gn). Data were submitted to the Shapiro-Wilk, analysis of variance, and Kruskal-Wallis tests. The measurement differences were compared using a t test. Descriptive statistics were performed in Excel 2013 and SPSS software, P<0.05 being considered significant. No statistically significant difference was found between the mean values predictive and postoperative of the angles and distances within the manual and digital groups. When comparing the means of the differences between the predictive values and the final values, only the 1:1 angle presented a statistically significant difference, indicating a greater accuracy of the digital predictive tracing for this measure. In conclusion, both methods for obtaining predictive tracings are accurate, which shows that clinical results can be successfully simulated by the most accessible technique.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T13:57:50Z
2023-07-29T13:57:50Z
2023-06-01
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/10.1097/SCS.0000000000009067
Journal of Craniofacial Surgery, v. 34, n. 4, p. 1165-1169, 2023.
1536-3732
1049-2275
http://hdl.handle.net/11449/248936
10.1097/SCS.0000000000009067
2-s2.0-85160969885
url http://dx.doi.org/10.1097/SCS.0000000000009067
http://hdl.handle.net/11449/248936
identifier_str_mv Journal of Craniofacial Surgery, v. 34, n. 4, p. 1165-1169, 2023.
1536-3732
1049-2275
10.1097/SCS.0000000000009067
2-s2.0-85160969885
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Craniofacial Surgery
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1165-1169
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 repositoriounesp@unesp.br
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