Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer

Detalhes bibliográficos
Autor(a) principal: Bitencourt,Almir Galvão Vieira
Data de Publicação: 2019
Outros Autores: Miola,Thais Manfrinato, Souza,Juliana de Oliveira, Conceição,Elizabeth Launeir Santos da, Coimbra,Felipe José Fernandez, Barbosa,Paula Nicole Vieira Pinto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Radiologia Brasileira (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842019000600005
Resumo: Abstract Objective: To determine whether preoperative anthropometric and computed tomography (CT) measurements of body composition can predict postoperative morbidity and mortality in patients with gastric or esophageal cancer. Materials and Methods: This was a retrospective study in which we reviewed the medical records and abdominal CT scans of patients with gastric or esophageal cancer who underwent surgery in 2015 at a cancer center. CT scans performed during routine preoperative evaluation were retrospectively assessed to measure the area of lean body mass at the level of the third lumbar vertebra, as well as the area of visceral and subcutaneous fat. Results: Seventy patients were included in the study. The mean age was 59.9 years (range, 33-82 years), and 47 patients (67.1%) were men. The mean postoperative follow-up period was 14.9 months. Neither postoperative morbidity nor postoperative mortality correlated significantly with gender, age, the type of primary tumor, the presence of comorbidities, smoking status, body mass index, nutritional status, or visceral fat area. The survival rate was higher for patients with normal lean body mass than for those with low lean body mass (hazard ratio = 0.116; 95% confidence interval: 0.015-0.906; p = 0.040). Conclusion: Our data suggest that lean body mass can be a relevant prognostic factor in patients with gastric or esophageal cancer, and that CT measurements should be included in the routine preoperative evaluation, because it may provide information that aids nutritional and clinical care for these patients.
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spelling Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancerGastrointestinal neoplasmsStomach neoplasmsEsophageal neoplasmsBody compositionBody fat distributionTomography, X-ray computedAbstract Objective: To determine whether preoperative anthropometric and computed tomography (CT) measurements of body composition can predict postoperative morbidity and mortality in patients with gastric or esophageal cancer. Materials and Methods: This was a retrospective study in which we reviewed the medical records and abdominal CT scans of patients with gastric or esophageal cancer who underwent surgery in 2015 at a cancer center. CT scans performed during routine preoperative evaluation were retrospectively assessed to measure the area of lean body mass at the level of the third lumbar vertebra, as well as the area of visceral and subcutaneous fat. Results: Seventy patients were included in the study. The mean age was 59.9 years (range, 33-82 years), and 47 patients (67.1%) were men. The mean postoperative follow-up period was 14.9 months. Neither postoperative morbidity nor postoperative mortality correlated significantly with gender, age, the type of primary tumor, the presence of comorbidities, smoking status, body mass index, nutritional status, or visceral fat area. The survival rate was higher for patients with normal lean body mass than for those with low lean body mass (hazard ratio = 0.116; 95% confidence interval: 0.015-0.906; p = 0.040). Conclusion: Our data suggest that lean body mass can be a relevant prognostic factor in patients with gastric or esophageal cancer, and that CT measurements should be included in the routine preoperative evaluation, because it may provide information that aids nutritional and clinical care for these patients.Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842019000600005Radiologia Brasileira v.52 n.6 2019reponame:Radiologia Brasileira (Online)instname:Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)instacron:CBR10.1590/0100-3984.2019.0009info:eu-repo/semantics/openAccessBitencourt,Almir Galvão VieiraMiola,Thais ManfrinatoSouza,Juliana de OliveiraConceição,Elizabeth Launeir Santos daCoimbra,Felipe José FernandezBarbosa,Paula Nicole Vieira Pintoeng2019-11-22T00:00:00Zoai:scielo:S0100-39842019000600005Revistahttps://www.scielo.br/j/rb/https://old.scielo.br/oai/scielo-oai.phpradiologiabrasileira@cbr.org.br1678-70990100-3984opendoar:2019-11-22T00:00Radiologia Brasileira (Online) - Colégio Brasileiro de Radiologia e Diagnóstico por Imagem (CBR)false
dc.title.none.fl_str_mv Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer
title Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer
spellingShingle Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer
Bitencourt,Almir Galvão Vieira
Gastrointestinal neoplasms
Stomach neoplasms
Esophageal neoplasms
Body composition
Body fat distribution
Tomography, X-ray computed
title_short Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer
title_full Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer
title_fullStr Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer
title_full_unstemmed Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer
title_sort Computed tomography-measured body composition: correlation with postoperative morbidity and mortality in patients with gastroesophageal cancer
author Bitencourt,Almir Galvão Vieira
author_facet Bitencourt,Almir Galvão Vieira
Miola,Thais Manfrinato
Souza,Juliana de Oliveira
Conceição,Elizabeth Launeir Santos da
Coimbra,Felipe José Fernandez
Barbosa,Paula Nicole Vieira Pinto
author_role author
author2 Miola,Thais Manfrinato
Souza,Juliana de Oliveira
Conceição,Elizabeth Launeir Santos da
Coimbra,Felipe José Fernandez
Barbosa,Paula Nicole Vieira Pinto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Bitencourt,Almir Galvão Vieira
Miola,Thais Manfrinato
Souza,Juliana de Oliveira
Conceição,Elizabeth Launeir Santos da
Coimbra,Felipe José Fernandez
Barbosa,Paula Nicole Vieira Pinto
dc.subject.por.fl_str_mv Gastrointestinal neoplasms
Stomach neoplasms
Esophageal neoplasms
Body composition
Body fat distribution
Tomography, X-ray computed
topic Gastrointestinal neoplasms
Stomach neoplasms
Esophageal neoplasms
Body composition
Body fat distribution
Tomography, X-ray computed
description Abstract Objective: To determine whether preoperative anthropometric and computed tomography (CT) measurements of body composition can predict postoperative morbidity and mortality in patients with gastric or esophageal cancer. Materials and Methods: This was a retrospective study in which we reviewed the medical records and abdominal CT scans of patients with gastric or esophageal cancer who underwent surgery in 2015 at a cancer center. CT scans performed during routine preoperative evaluation were retrospectively assessed to measure the area of lean body mass at the level of the third lumbar vertebra, as well as the area of visceral and subcutaneous fat. Results: Seventy patients were included in the study. The mean age was 59.9 years (range, 33-82 years), and 47 patients (67.1%) were men. The mean postoperative follow-up period was 14.9 months. Neither postoperative morbidity nor postoperative mortality correlated significantly with gender, age, the type of primary tumor, the presence of comorbidities, smoking status, body mass index, nutritional status, or visceral fat area. The survival rate was higher for patients with normal lean body mass than for those with low lean body mass (hazard ratio = 0.116; 95% confidence interval: 0.015-0.906; p = 0.040). Conclusion: Our data suggest that lean body mass can be a relevant prognostic factor in patients with gastric or esophageal cancer, and that CT measurements should be included in the routine preoperative evaluation, because it may provide information that aids nutritional and clinical care for these patients.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
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=S0100-39842019000600005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-39842019000600005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0100-3984.2019.0009
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.52 n.6 2019
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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