Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma
Autor(a) principal: | |
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Data de Publicação: | 2015 |
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=S0100-39842015000200006 |
Resumo: | Objective:To evaluate the role of multidetector computed tomography in the preoperative investigation of tumor invasion depth and lymph node and metastatic involvement according to the TNM classification, in patients with gastric adenocarcinoma.Materials and Methods:Fifty-four patients with biopsy-confirmed gastric cancer underwent preoperative staging with 64-channel multidetector computed tomography. Two independent radiologists analyzed the images and classified the findings. Sensitivity, specificity, accuracy and overall accuracy were calculated for each observer. The interobserver agreement was also evaluated.Results:The accuracy in the classification of categories T ranged from 74% to 96% for observer 1 and from 80% to 92% for observer 2. The overall accuracy was 70% for both observers. The weighted kappa index was 0.75, consistent with a significant interobserver agreement. The accuracy in the classification of lymph node involvement (category N) ranged from 55% to 79% for observer 1 and from 73% to 82% for observer 2. The evaluation of metastatic involvement showed an overall accuracy of 89.6% for both observers.Conclusion:64-channel multidetector computed tomography demonstrated clinically relevant accuracy in the preoperative staging of gastric adenocarcinoma as regards invasion depth (T category) and metastatic involvement (M category). |
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network_name_str |
Radiologia Brasileira (Online) |
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|
spelling |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinomaGastric cancerComputed tomographyStagingObjective:To evaluate the role of multidetector computed tomography in the preoperative investigation of tumor invasion depth and lymph node and metastatic involvement according to the TNM classification, in patients with gastric adenocarcinoma.Materials and Methods:Fifty-four patients with biopsy-confirmed gastric cancer underwent preoperative staging with 64-channel multidetector computed tomography. Two independent radiologists analyzed the images and classified the findings. Sensitivity, specificity, accuracy and overall accuracy were calculated for each observer. The interobserver agreement was also evaluated.Results:The accuracy in the classification of categories T ranged from 74% to 96% for observer 1 and from 80% to 92% for observer 2. The overall accuracy was 70% for both observers. The weighted kappa index was 0.75, consistent with a significant interobserver agreement. The accuracy in the classification of lymph node involvement (category N) ranged from 55% to 79% for observer 1 and from 73% to 82% for observer 2. The evaluation of metastatic involvement showed an overall accuracy of 89.6% for both observers.Conclusion:64-channel multidetector computed tomography demonstrated clinically relevant accuracy in the preoperative staging of gastric adenocarcinoma as regards invasion depth (T category) and metastatic involvement (M category).Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem2015-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842015000200006Radiologia Brasileira v.48 n.2 2015reponame:Radiologia Brasileira (Online)instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)instacron:CBR10.1590/0100-3984.2014.0021info:eu-repo/semantics/openAccessBarros,Ricardo Hoelz de OliveiraPenachim,Thiago JoséMartins,Daniel LahanAndreollo,Nelson AdamiCaserta,Nelson Marcio Gomeseng2015-09-03T00:00:00Zoai:scielo:S0100-39842015000200006Revistahttps://www.scielo.br/j/rb/https://old.scielo.br/oai/scielo-oai.phpradiologiabrasileira@cbr.org.br1678-70990100-3984opendoar:2015-09-03T00:00Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)false |
dc.title.none.fl_str_mv |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma |
title |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma |
spellingShingle |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma Barros,Ricardo Hoelz de Oliveira Gastric cancer Computed tomography Staging |
title_short |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma |
title_full |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma |
title_fullStr |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma |
title_full_unstemmed |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma |
title_sort |
Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma |
author |
Barros,Ricardo Hoelz de Oliveira |
author_facet |
Barros,Ricardo Hoelz de Oliveira Penachim,Thiago José Martins,Daniel Lahan Andreollo,Nelson Adami Caserta,Nelson Marcio Gomes |
author_role |
author |
author2 |
Penachim,Thiago José Martins,Daniel Lahan Andreollo,Nelson Adami Caserta,Nelson Marcio Gomes |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Barros,Ricardo Hoelz de Oliveira Penachim,Thiago José Martins,Daniel Lahan Andreollo,Nelson Adami Caserta,Nelson Marcio Gomes |
dc.subject.por.fl_str_mv |
Gastric cancer Computed tomography Staging |
topic |
Gastric cancer Computed tomography Staging |
description |
Objective:To evaluate the role of multidetector computed tomography in the preoperative investigation of tumor invasion depth and lymph node and metastatic involvement according to the TNM classification, in patients with gastric adenocarcinoma.Materials and Methods:Fifty-four patients with biopsy-confirmed gastric cancer underwent preoperative staging with 64-channel multidetector computed tomography. Two independent radiologists analyzed the images and classified the findings. Sensitivity, specificity, accuracy and overall accuracy were calculated for each observer. The interobserver agreement was also evaluated.Results:The accuracy in the classification of categories T ranged from 74% to 96% for observer 1 and from 80% to 92% for observer 2. The overall accuracy was 70% for both observers. The weighted kappa index was 0.75, consistent with a significant interobserver agreement. The accuracy in the classification of lymph node involvement (category N) ranged from 55% to 79% for observer 1 and from 73% to 82% for observer 2. The evaluation of metastatic involvement showed an overall accuracy of 89.6% for both observers.Conclusion:64-channel multidetector computed tomography demonstrated clinically relevant accuracy in the preoperative staging of gastric adenocarcinoma as regards invasion depth (T category) and metastatic involvement (M category). |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-04-01 |
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=S0100-39842015000200006 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842015000200006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0100-3984.2014.0021 |
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.48 n.2 2015 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_ |
1754208938869391360 |