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Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories
OBJECTIVE: To determine whether the gross tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography could predict the presence of regional lymph node metastasis and could determine N categories. MATERIALS AND METHODS: A total of 202 consecutive patients with gastric aden...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825194/ https://www.ncbi.nlm.nih.gov/pubmed/27166769 http://dx.doi.org/10.6061/clinics/2016(04)04 |
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author | Li, Hang Chen, Xiao-li Li, Jun-ru Li, Zhen-lin Chen, Tian-wu Pu, Hong Yin, Long-lin Xu, Guo-hui Li, Zhen-wen Reng, Jing Zhou, Peng Cheng, Zhu-zhong Cao, Ying |
author_facet | Li, Hang Chen, Xiao-li Li, Jun-ru Li, Zhen-lin Chen, Tian-wu Pu, Hong Yin, Long-lin Xu, Guo-hui Li, Zhen-wen Reng, Jing Zhou, Peng Cheng, Zhu-zhong Cao, Ying |
author_sort | Li, Hang |
collection | PubMed |
description | OBJECTIVE: To determine whether the gross tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography could predict the presence of regional lymph node metastasis and could determine N categories. MATERIALS AND METHODS: A total of 202 consecutive patients with gastric adenocarcinoma who had undergone gastrectomy 1 week after contrast-enhanced multidetector computed tomography were retrospectively identified. The gross tumor volume was evaluated on multidetector computed tomography images. Univariate and multivariate analyses were performed to determine whether the gross tumor volume could predict regional lymph node metastasis, and the Mann-Whitney U test was performed to compare the gross tumor volume among N categories. Additionally, a receiver operating characteristic analysis was performed to identify the accuracy of the gross tumor volume in differentiating N categories. RESULTS: The gross tumor volume could predict regional lymph node metastasis (p<0.0001) in the univariate analysis, and the multivariate analyses indicated that the gross tumor volume was an independent risk factor for regional lymph node metastasis (p=0.005, odds ratio=1.364). The Mann-Whitney U test showed that the gross tumor volume could distinguish N0 from the N1-N3 categories, N0-N1 from N2-N3, and N0-N2 from N3 (all p<0.0001). In the T1-T4a categories, the gross tumor volume could differentiate N0 from the N1-N3 categories (cutoff, 12.3 cm(3)), N0-N1 from N2-N3 (cutoff, 16.6 cm(3)), and N0-N2 from N3 (cutoff, 24.6 cm(3)). In the T4a category, the gross tumor volume could differentiate N0 from the N1-N3 categories (cutoff, 15.8 cm(3)), N0-N1 from N2-N3 (cutoff, 17.8 cm(3)), and N0-N2 from N3 (cutoff, 24 cm(3)). CONCLUSION: The gross tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography could predict regional lymph node metastasis and N categories. |
format | Online Article Text |
id | pubmed-4825194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo |
record_format | MEDLINE/PubMed |
spelling | pubmed-48251942016-04-14 Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories Li, Hang Chen, Xiao-li Li, Jun-ru Li, Zhen-lin Chen, Tian-wu Pu, Hong Yin, Long-lin Xu, Guo-hui Li, Zhen-wen Reng, Jing Zhou, Peng Cheng, Zhu-zhong Cao, Ying Clinics (Sao Paulo) Clinical Science OBJECTIVE: To determine whether the gross tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography could predict the presence of regional lymph node metastasis and could determine N categories. MATERIALS AND METHODS: A total of 202 consecutive patients with gastric adenocarcinoma who had undergone gastrectomy 1 week after contrast-enhanced multidetector computed tomography were retrospectively identified. The gross tumor volume was evaluated on multidetector computed tomography images. Univariate and multivariate analyses were performed to determine whether the gross tumor volume could predict regional lymph node metastasis, and the Mann-Whitney U test was performed to compare the gross tumor volume among N categories. Additionally, a receiver operating characteristic analysis was performed to identify the accuracy of the gross tumor volume in differentiating N categories. RESULTS: The gross tumor volume could predict regional lymph node metastasis (p<0.0001) in the univariate analysis, and the multivariate analyses indicated that the gross tumor volume was an independent risk factor for regional lymph node metastasis (p=0.005, odds ratio=1.364). The Mann-Whitney U test showed that the gross tumor volume could distinguish N0 from the N1-N3 categories, N0-N1 from N2-N3, and N0-N2 from N3 (all p<0.0001). In the T1-T4a categories, the gross tumor volume could differentiate N0 from the N1-N3 categories (cutoff, 12.3 cm(3)), N0-N1 from N2-N3 (cutoff, 16.6 cm(3)), and N0-N2 from N3 (cutoff, 24.6 cm(3)). In the T4a category, the gross tumor volume could differentiate N0 from the N1-N3 categories (cutoff, 15.8 cm(3)), N0-N1 from N2-N3 (cutoff, 17.8 cm(3)), and N0-N2 from N3 (cutoff, 24 cm(3)). CONCLUSION: The gross tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography could predict regional lymph node metastasis and N categories. Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo 2016-04 2016-04 /pmc/articles/PMC4825194/ /pubmed/27166769 http://dx.doi.org/10.6061/clinics/2016(04)04 Text en Copyright © 2016 CLINICS http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Science Li, Hang Chen, Xiao-li Li, Jun-ru Li, Zhen-lin Chen, Tian-wu Pu, Hong Yin, Long-lin Xu, Guo-hui Li, Zhen-wen Reng, Jing Zhou, Peng Cheng, Zhu-zhong Cao, Ying Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories |
title | Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories |
title_full | Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories |
title_fullStr | Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories |
title_full_unstemmed | Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories |
title_short | Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories |
title_sort | tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with n categories |
topic | Clinical Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825194/ https://www.ncbi.nlm.nih.gov/pubmed/27166769 http://dx.doi.org/10.6061/clinics/2016(04)04 |
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