Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Oral Research |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242020000100260 |
Resumo: | Abstract This study aims to assess the influence of high-density material on the radiographic diagnosis of proximal caries in digital systems with automatic exposure compensation, and to evaluate the effect of subjective adjustment of brightness and contrast to undertake this diagnostic task. Twenty bitewing radiographs of forty posterior human teeth with non-cavitated carious lesions, confirmed by micro-CT, were obtained with two digital systems. A porcelain-fused-to-metal crown attached to a titanium implant was inserted into the exposed area, and all the radiographs were repeated. Five radiologists assessed the radiographs and diagnosed proximal carious lesions. Afterwards, the observers were asked to adjust image brightness and contrast, based on their subjective perception, and to reassess the images. Thirty percent of each experimental group was reassessed to test intraobserver reproducibility, totaling 208 images per observer. Intraobserver and interobserver agreements ranged from fair to substantial. Sensitivity, specificity, predictive values, and area under the ROC curve were calculated and compared for each radiographic system, using ANOVA (α = 0.05). Overall, presence of high-density material and adjustment of brightness and contrast did not significantly influence the radiographic diagnosis of proximal caries (p ≥ 0.05). Regarding Digora Optime, adjustment of brightness and contrast significantly increased (p < 0.05) the diagnostic accuracy of proximal carious lesions in the presence of high-density material. In conclusion, the presence of high-density material in the X-rayed region does not influence radiographic diagnosis of proximal caries. However, when it is present in the X-rayed area, subjective adjustment of brightness and contrast is recommended for use with the Digora Optime digital system. |
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Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of cariesRadiography, Dental, DigitalDental CariesDiagnostic ImagingRadiographic Image EnhancementAbstract This study aims to assess the influence of high-density material on the radiographic diagnosis of proximal caries in digital systems with automatic exposure compensation, and to evaluate the effect of subjective adjustment of brightness and contrast to undertake this diagnostic task. Twenty bitewing radiographs of forty posterior human teeth with non-cavitated carious lesions, confirmed by micro-CT, were obtained with two digital systems. A porcelain-fused-to-metal crown attached to a titanium implant was inserted into the exposed area, and all the radiographs were repeated. Five radiologists assessed the radiographs and diagnosed proximal carious lesions. Afterwards, the observers were asked to adjust image brightness and contrast, based on their subjective perception, and to reassess the images. Thirty percent of each experimental group was reassessed to test intraobserver reproducibility, totaling 208 images per observer. Intraobserver and interobserver agreements ranged from fair to substantial. Sensitivity, specificity, predictive values, and area under the ROC curve were calculated and compared for each radiographic system, using ANOVA (α = 0.05). Overall, presence of high-density material and adjustment of brightness and contrast did not significantly influence the radiographic diagnosis of proximal caries (p ≥ 0.05). Regarding Digora Optime, adjustment of brightness and contrast significantly increased (p < 0.05) the diagnostic accuracy of proximal carious lesions in the presence of high-density material. In conclusion, the presence of high-density material in the X-rayed region does not influence radiographic diagnosis of proximal caries. However, when it is present in the X-rayed area, subjective adjustment of brightness and contrast is recommended for use with the Digora Optime digital system.Sociedade Brasileira de Pesquisa Odontológica - SBPqO2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242020000100260Brazilian Oral Research v.34 2020reponame:Brazilian Oral Researchinstname:Sociedade Brasileira de Pesquisa Odontológica (SBPqO)instacron:SBPQO10.1590/1807-3107bor-2020.vol34.0082info:eu-repo/semantics/openAccessGALVÃO,Neiandro SantosNASCIMENTO,Eduarda Helena LeandroGAÊTA-ARAUJO,HugoFREITAS,Deborah QueirozHAITER-NETO,FranciscoOLIVEIRA,Matheus Limaeng2020-08-05T00:00:00Zoai:scielo:S1806-83242020000100260Revistahttps://www.scielo.br/j/bor/https://old.scielo.br/oai/scielo-oai.phppob@edu.usp.br||bor@sbpqo.org.br1807-31071806-8324opendoar:2020-08-05T00:00Brazilian Oral Research - Sociedade Brasileira de Pesquisa Odontológica (SBPqO)false |
dc.title.none.fl_str_mv |
Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries |
title |
Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries |
spellingShingle |
Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries GALVÃO,Neiandro Santos Radiography, Dental, Digital Dental Caries Diagnostic Imaging Radiographic Image Enhancement |
title_short |
Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries |
title_full |
Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries |
title_fullStr |
Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries |
title_full_unstemmed |
Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries |
title_sort |
Automatic exposure compensation and subjective image enhancement in the radiographic diagnosis of caries |
author |
GALVÃO,Neiandro Santos |
author_facet |
GALVÃO,Neiandro Santos NASCIMENTO,Eduarda Helena Leandro GAÊTA-ARAUJO,Hugo FREITAS,Deborah Queiroz HAITER-NETO,Francisco OLIVEIRA,Matheus Lima |
author_role |
author |
author2 |
NASCIMENTO,Eduarda Helena Leandro GAÊTA-ARAUJO,Hugo FREITAS,Deborah Queiroz HAITER-NETO,Francisco OLIVEIRA,Matheus Lima |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
GALVÃO,Neiandro Santos NASCIMENTO,Eduarda Helena Leandro GAÊTA-ARAUJO,Hugo FREITAS,Deborah Queiroz HAITER-NETO,Francisco OLIVEIRA,Matheus Lima |
dc.subject.por.fl_str_mv |
Radiography, Dental, Digital Dental Caries Diagnostic Imaging Radiographic Image Enhancement |
topic |
Radiography, Dental, Digital Dental Caries Diagnostic Imaging Radiographic Image Enhancement |
description |
Abstract This study aims to assess the influence of high-density material on the radiographic diagnosis of proximal caries in digital systems with automatic exposure compensation, and to evaluate the effect of subjective adjustment of brightness and contrast to undertake this diagnostic task. Twenty bitewing radiographs of forty posterior human teeth with non-cavitated carious lesions, confirmed by micro-CT, were obtained with two digital systems. A porcelain-fused-to-metal crown attached to a titanium implant was inserted into the exposed area, and all the radiographs were repeated. Five radiologists assessed the radiographs and diagnosed proximal carious lesions. Afterwards, the observers were asked to adjust image brightness and contrast, based on their subjective perception, and to reassess the images. Thirty percent of each experimental group was reassessed to test intraobserver reproducibility, totaling 208 images per observer. Intraobserver and interobserver agreements ranged from fair to substantial. Sensitivity, specificity, predictive values, and area under the ROC curve were calculated and compared for each radiographic system, using ANOVA (α = 0.05). Overall, presence of high-density material and adjustment of brightness and contrast did not significantly influence the radiographic diagnosis of proximal caries (p ≥ 0.05). Regarding Digora Optime, adjustment of brightness and contrast significantly increased (p < 0.05) the diagnostic accuracy of proximal carious lesions in the presence of high-density material. In conclusion, the presence of high-density material in the X-rayed region does not influence radiographic diagnosis of proximal caries. However, when it is present in the X-rayed area, subjective adjustment of brightness and contrast is recommended for use with the Digora Optime digital system. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242020000100260 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242020000100260 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1807-3107bor-2020.vol34.0082 |
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 Brasileira de Pesquisa Odontológica - SBPqO |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pesquisa Odontológica - SBPqO |
dc.source.none.fl_str_mv |
Brazilian Oral Research v.34 2020 reponame:Brazilian Oral Research instname:Sociedade Brasileira de Pesquisa Odontológica (SBPqO) instacron:SBPQO |
instname_str |
Sociedade Brasileira de Pesquisa Odontológica (SBPqO) |
instacron_str |
SBPQO |
institution |
SBPQO |
reponame_str |
Brazilian Oral Research |
collection |
Brazilian Oral Research |
repository.name.fl_str_mv |
Brazilian Oral Research - Sociedade Brasileira de Pesquisa Odontológica (SBPqO) |
repository.mail.fl_str_mv |
pob@edu.usp.br||bor@sbpqo.org.br |
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1750318327125770240 |