Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Radiologia Brasileira (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842016000100012 |
Resumo: | Abstract Objective: To assess the cutoff values established by ROC curves to classify18F-NaF uptake as normal or malignant. Materials and Methods: PET/CT images were acquired 1 hour after administration of 185 MBq of18F-NaF. Volumes of interest (VOIs) were drawn on three regions of the skeleton as follows: proximal right humerus diaphysis (HD), proximal right femoral diaphysis (FD) and first vertebral body (VB1), in a total of 254 patients, totalling 762 VOIs. The uptake in the VOIs was classified as normal or malignant on the basis of the radiopharmaceutical distribution pattern and of the CT images. A total of 675 volumes were classified as normal and 52 were classified as malignant. Thirty-five VOIs classified as indeterminate or nonmalignant lesions were excluded from analysis. The standardized uptake value (SUV) measured on the VOIs were plotted on an ROC curve for each one of the three regions. The area under the ROC (AUC) as well as the best cutoff SUVs to classify the VOIs were calculated. The best cutoff values were established as the ones with higher result of the sum of sensitivity and specificity. Results: The AUCs were 0.933, 0.889 and 0.975 for UD, FD and VB1, respectively. The best SUV cutoffs were 9.0 (sensitivity: 73%; specificity: 99%), 8.4 (sensitivity: 79%; specificity: 94%) and 21.0 (sensitivity: 93%; specificity: 95%) for UD, FD and VB1, respectively. Conclusion: The best cutoff value varies according to bone region of analysis and it is not possible to establish one value for the whole body. |
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Radiologia Brasileira (Online) |
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Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT18F-NaF PET/CTROC curveCutoff valuesNormal uptakeMalignant uptakeAbstract Objective: To assess the cutoff values established by ROC curves to classify18F-NaF uptake as normal or malignant. Materials and Methods: PET/CT images were acquired 1 hour after administration of 185 MBq of18F-NaF. Volumes of interest (VOIs) were drawn on three regions of the skeleton as follows: proximal right humerus diaphysis (HD), proximal right femoral diaphysis (FD) and first vertebral body (VB1), in a total of 254 patients, totalling 762 VOIs. The uptake in the VOIs was classified as normal or malignant on the basis of the radiopharmaceutical distribution pattern and of the CT images. A total of 675 volumes were classified as normal and 52 were classified as malignant. Thirty-five VOIs classified as indeterminate or nonmalignant lesions were excluded from analysis. The standardized uptake value (SUV) measured on the VOIs were plotted on an ROC curve for each one of the three regions. The area under the ROC (AUC) as well as the best cutoff SUVs to classify the VOIs were calculated. The best cutoff values were established as the ones with higher result of the sum of sensitivity and specificity. Results: The AUCs were 0.933, 0.889 and 0.975 for UD, FD and VB1, respectively. The best SUV cutoffs were 9.0 (sensitivity: 73%; specificity: 99%), 8.4 (sensitivity: 79%; specificity: 94%) and 21.0 (sensitivity: 93%; specificity: 95%) for UD, FD and VB1, respectively. Conclusion: The best cutoff value varies according to bone region of analysis and it is not possible to establish one value for the whole body.Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem2016-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842016000100012Radiologia Brasileira v.49 n.1 2016reponame:Radiologia Brasileira (Online)instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)instacron:CBR10.1590/0100-3984.2014.0119info:eu-repo/semantics/openAccessValadares,Agnes AraujoDuarte,Paulo SchiavomCarvalho,GiovannaOno,Carla RachelCoura-Filho,George BarberioSado,Heitor NaokiSapienza,Marcelo TatitBuchpiguel,Carlos Albertoeng2016-03-01T00:00:00Zoai:scielo:S0100-39842016000100012Revistahttps://www.scielo.br/j/rb/https://old.scielo.br/oai/scielo-oai.phpradiologiabrasileira@cbr.org.br1678-70990100-3984opendoar:2016-03-01T00:00Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)false |
dc.title.none.fl_str_mv |
Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT |
title |
Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT |
spellingShingle |
Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT Valadares,Agnes Araujo 18F-NaF PET/CT ROC curve Cutoff values Normal uptake Malignant uptake |
title_short |
Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT |
title_full |
Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT |
title_fullStr |
Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT |
title_full_unstemmed |
Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT |
title_sort |
Receiver operating characteristic (ROC) curve for classification of18F-NaF uptake on PET/CT |
author |
Valadares,Agnes Araujo |
author_facet |
Valadares,Agnes Araujo Duarte,Paulo Schiavom Carvalho,Giovanna Ono,Carla Rachel Coura-Filho,George Barberio Sado,Heitor Naoki Sapienza,Marcelo Tatit Buchpiguel,Carlos Alberto |
author_role |
author |
author2 |
Duarte,Paulo Schiavom Carvalho,Giovanna Ono,Carla Rachel Coura-Filho,George Barberio Sado,Heitor Naoki Sapienza,Marcelo Tatit Buchpiguel,Carlos Alberto |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Valadares,Agnes Araujo Duarte,Paulo Schiavom Carvalho,Giovanna Ono,Carla Rachel Coura-Filho,George Barberio Sado,Heitor Naoki Sapienza,Marcelo Tatit Buchpiguel,Carlos Alberto |
dc.subject.por.fl_str_mv |
18F-NaF PET/CT ROC curve Cutoff values Normal uptake Malignant uptake |
topic |
18F-NaF PET/CT ROC curve Cutoff values Normal uptake Malignant uptake |
description |
Abstract Objective: To assess the cutoff values established by ROC curves to classify18F-NaF uptake as normal or malignant. Materials and Methods: PET/CT images were acquired 1 hour after administration of 185 MBq of18F-NaF. Volumes of interest (VOIs) were drawn on three regions of the skeleton as follows: proximal right humerus diaphysis (HD), proximal right femoral diaphysis (FD) and first vertebral body (VB1), in a total of 254 patients, totalling 762 VOIs. The uptake in the VOIs was classified as normal or malignant on the basis of the radiopharmaceutical distribution pattern and of the CT images. A total of 675 volumes were classified as normal and 52 were classified as malignant. Thirty-five VOIs classified as indeterminate or nonmalignant lesions were excluded from analysis. The standardized uptake value (SUV) measured on the VOIs were plotted on an ROC curve for each one of the three regions. The area under the ROC (AUC) as well as the best cutoff SUVs to classify the VOIs were calculated. The best cutoff values were established as the ones with higher result of the sum of sensitivity and specificity. Results: The AUCs were 0.933, 0.889 and 0.975 for UD, FD and VB1, respectively. The best SUV cutoffs were 9.0 (sensitivity: 73%; specificity: 99%), 8.4 (sensitivity: 79%; specificity: 94%) and 21.0 (sensitivity: 93%; specificity: 95%) for UD, FD and VB1, respectively. Conclusion: The best cutoff value varies according to bone region of analysis and it is not possible to establish one value for the whole body. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-02-01 |
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=S0100-39842016000100012 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842016000100012 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0100-3984.2014.0119 |
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 |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
publisher.none.fl_str_mv |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
dc.source.none.fl_str_mv |
Radiologia Brasileira v.49 n.1 2016 reponame:Radiologia Brasileira (Online) instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) instacron:CBR |
instname_str |
Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) |
instacron_str |
CBR |
institution |
CBR |
reponame_str |
Radiologia Brasileira (Online) |
collection |
Radiologia Brasileira (Online) |
repository.name.fl_str_mv |
Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR) |
repository.mail.fl_str_mv |
radiologiabrasileira@cbr.org.br |
_version_ |
1754208938941743104 |