Multidetector computed tomography in the preoperative staging of gastric adenocarcinoma

Detalhes bibliográficos
Autor(a) principal: Barros,Ricardo Hoelz de Oliveira
Data de Publicação: 2015
Outros Autores: Penachim,Thiago José, Martins,Daniel Lahan, Andreollo,Nelson Adami, Caserta,Nelson Marcio Gomes
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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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
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