Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience

Detalhes bibliográficos
Autor(a) principal: Almeida,Maria Fernanda Arruda
Data de Publicação: 2018
Outros Autores: Verza,Leonardo, Bitencourt,Almir Galvão Vieira, Boaventura,Camila Silva, Barbosa,Paula Nicole Vieira Pinto, Chojniak,Rubens
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Radiologia Brasileira (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842018000400211
Resumo: Abstract Objective: To evaluate the accuracy of multidetector computed tomography with a stomach protocol in staging of gastric cancer. Materials and Methods: We evaluated 14 patients who underwent computed tomography in a 16-channel scanner for preoperative staging of gastric adenocarcinoma between September 2015 and December 2016. All images were analyzed by the same radiologist, who had extensive experience in abdominal cancer imaging. The sensitivity, specificity, and accuracy of the method were calculated by comparing it with the pathology result. All patients underwent partial or total gastrectomy. Results: The mean age was 61.5 years, and 53.8% of the patients were male. The gastric lesions were classified as T1/T2 in 35.7% of the cases, as T3 in 28.5%, and as T4 in 35.7%. Eleven patients (68.7%) had suspicious (N positive) lymph nodes. The accuracy of the T1/T2, T3, T4, and lymph node staging tests was 85%, 78%, 90%, and 78%, respectively. The respective sensitivity and specificity values were 71% and 100% for T1/T2, 66% and 81% for T3, 100% and 90% for T4, and 88% and 60% for lymph nodes. Conclusion: Multidetector computed tomography with a stomach protocol, used in conjunction with virtual gastroscopy, shows good accuracy in the tumor and lymph node staging of gastric adenocarcinoma.
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spelling Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experienceStomach neoplasmsMultidetector computed tomographyNeoplasm stagingAbstract Objective: To evaluate the accuracy of multidetector computed tomography with a stomach protocol in staging of gastric cancer. Materials and Methods: We evaluated 14 patients who underwent computed tomography in a 16-channel scanner for preoperative staging of gastric adenocarcinoma between September 2015 and December 2016. All images were analyzed by the same radiologist, who had extensive experience in abdominal cancer imaging. The sensitivity, specificity, and accuracy of the method were calculated by comparing it with the pathology result. All patients underwent partial or total gastrectomy. Results: The mean age was 61.5 years, and 53.8% of the patients were male. The gastric lesions were classified as T1/T2 in 35.7% of the cases, as T3 in 28.5%, and as T4 in 35.7%. Eleven patients (68.7%) had suspicious (N positive) lymph nodes. The accuracy of the T1/T2, T3, T4, and lymph node staging tests was 85%, 78%, 90%, and 78%, respectively. The respective sensitivity and specificity values were 71% and 100% for T1/T2, 66% and 81% for T3, 100% and 90% for T4, and 88% and 60% for lymph nodes. Conclusion: Multidetector computed tomography with a stomach protocol, used in conjunction with virtual gastroscopy, shows good accuracy in the tumor and lymph node staging of gastric adenocarcinoma.Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem2018-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842018000400211Radiologia Brasileira v.51 n.4 2018reponame:Radiologia Brasileira (Online)instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)instacron:CBR10.1590/0100-3984.2017.0097info:eu-repo/semantics/openAccessAlmeida,Maria Fernanda ArrudaVerza,LeonardoBitencourt,Almir Galvão VieiraBoaventura,Camila SilvaBarbosa,Paula Nicole Vieira PintoChojniak,Rubenseng2018-09-03T00:00:00Zoai:scielo:S0100-39842018000400211Revistahttps://www.scielo.br/j/rb/https://old.scielo.br/oai/scielo-oai.phpradiologiabrasileira@cbr.org.br1678-70990100-3984opendoar:2018-09-03T00:00Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)false
dc.title.none.fl_str_mv Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience
title Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience
spellingShingle Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience
Almeida,Maria Fernanda Arruda
Stomach neoplasms
Multidetector computed tomography
Neoplasm staging
title_short Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience
title_full Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience
title_fullStr Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience
title_full_unstemmed Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience
title_sort Computed tomography with a stomach protocol and virtual gastroscopy in the staging of gastric cancer: an initial experience
author Almeida,Maria Fernanda Arruda
author_facet Almeida,Maria Fernanda Arruda
Verza,Leonardo
Bitencourt,Almir Galvão Vieira
Boaventura,Camila Silva
Barbosa,Paula Nicole Vieira Pinto
Chojniak,Rubens
author_role author
author2 Verza,Leonardo
Bitencourt,Almir Galvão Vieira
Boaventura,Camila Silva
Barbosa,Paula Nicole Vieira Pinto
Chojniak,Rubens
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Almeida,Maria Fernanda Arruda
Verza,Leonardo
Bitencourt,Almir Galvão Vieira
Boaventura,Camila Silva
Barbosa,Paula Nicole Vieira Pinto
Chojniak,Rubens
dc.subject.por.fl_str_mv Stomach neoplasms
Multidetector computed tomography
Neoplasm staging
topic Stomach neoplasms
Multidetector computed tomography
Neoplasm staging
description Abstract Objective: To evaluate the accuracy of multidetector computed tomography with a stomach protocol in staging of gastric cancer. Materials and Methods: We evaluated 14 patients who underwent computed tomography in a 16-channel scanner for preoperative staging of gastric adenocarcinoma between September 2015 and December 2016. All images were analyzed by the same radiologist, who had extensive experience in abdominal cancer imaging. The sensitivity, specificity, and accuracy of the method were calculated by comparing it with the pathology result. All patients underwent partial or total gastrectomy. Results: The mean age was 61.5 years, and 53.8% of the patients were male. The gastric lesions were classified as T1/T2 in 35.7% of the cases, as T3 in 28.5%, and as T4 in 35.7%. Eleven patients (68.7%) had suspicious (N positive) lymph nodes. The accuracy of the T1/T2, T3, T4, and lymph node staging tests was 85%, 78%, 90%, and 78%, respectively. The respective sensitivity and specificity values were 71% and 100% for T1/T2, 66% and 81% for T3, 100% and 90% for T4, and 88% and 60% for lymph nodes. Conclusion: Multidetector computed tomography with a stomach protocol, used in conjunction with virtual gastroscopy, shows good accuracy in the tumor and lymph node staging of gastric adenocarcinoma.
publishDate 2018
dc.date.none.fl_str_mv 2018-08-01
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=S0100-39842018000400211
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842018000400211
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0100-3984.2017.0097
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.51 n.4 2018
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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