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A quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to N-stage measured at multidetector computed tomography for preoperative determination of resectability: A case control study
PURPOSE: To develop and validate a quantitative model based on gross tumor volume (GTV) of gastric adenocarcinoma (GA) corresponding to N-stage measured at multidetector computed tomography (CT) for preoperative determination of resectability MATERIALS AND METHODS: 493 consecutive patients with conf...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579338/ https://www.ncbi.nlm.nih.gov/pubmed/36276081 http://dx.doi.org/10.3389/fonc.2022.1001593 |
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author | Yu, Zi-yi Gao, Dan Tang, Zhao Zhou, Hai-ying Ou, Jing Li, Ke-ying Chen, Xiao-qian Yang, Dan Yan, Lin-li Li, Rui Zhang, Xiao-ming Chen, Tian-wu |
author_facet | Yu, Zi-yi Gao, Dan Tang, Zhao Zhou, Hai-ying Ou, Jing Li, Ke-ying Chen, Xiao-qian Yang, Dan Yan, Lin-li Li, Rui Zhang, Xiao-ming Chen, Tian-wu |
author_sort | Yu, Zi-yi |
collection | PubMed |
description | PURPOSE: To develop and validate a quantitative model based on gross tumor volume (GTV) of gastric adenocarcinoma (GA) corresponding to N-stage measured at multidetector computed tomography (CT) for preoperative determination of resectability MATERIALS AND METHODS: 493 consecutive patients with confirmed GA undergoing contrast-enhanced CT two weeks before treatments were randomly enrolled into the training cohort (TC, n = 271), internal validation cohort (IVC, n = 107) and external validation cohort (EVC, n = 115). GTV was measured on CT by multiplying sums of all tumor areas by section thickness. In TC, univariate and multivariate analyses were performed to select factors associated with resectability. Receiver operating characteristic (ROC) analysis was to determine if N-stage based GTV could identify resectability. In IVC and EVC, unweighted Cohen’s Kappa tests were to evaluate performances of the ROC models. RESULTS: According to univariate analysis, age, cT stage, cN stage and GTV were related to resectability in TC (all P-values < 0.05), and multivariate analysis suggested that cN stage and GTV were independent risk factors with odds ratios of 1.594 (95% confidence interval [CI]: 1.105–2.301) and 1.055 (95%CI: 1.035–1.076), respectively. ROC analysis in TC revealed the cutoffs of 21.81, 21.70 and 36.93 cm(3) to differentiate between resectable and unresectable cancers in stages cN(0-3), cN(2) and cN(3) with areas under the curves of more than 0.8, respectively, which was validated in IVC and EVC with average Cohen k-values of more than 0.72. CONCLUSIONS: GTV and cN stage can be independent risk factors of unresectable GA, and N-stage based GTV can help determine resectability. |
format | Online Article Text |
id | pubmed-9579338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95793382022-10-20 A quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to N-stage measured at multidetector computed tomography for preoperative determination of resectability: A case control study Yu, Zi-yi Gao, Dan Tang, Zhao Zhou, Hai-ying Ou, Jing Li, Ke-ying Chen, Xiao-qian Yang, Dan Yan, Lin-li Li, Rui Zhang, Xiao-ming Chen, Tian-wu Front Oncol Oncology PURPOSE: To develop and validate a quantitative model based on gross tumor volume (GTV) of gastric adenocarcinoma (GA) corresponding to N-stage measured at multidetector computed tomography (CT) for preoperative determination of resectability MATERIALS AND METHODS: 493 consecutive patients with confirmed GA undergoing contrast-enhanced CT two weeks before treatments were randomly enrolled into the training cohort (TC, n = 271), internal validation cohort (IVC, n = 107) and external validation cohort (EVC, n = 115). GTV was measured on CT by multiplying sums of all tumor areas by section thickness. In TC, univariate and multivariate analyses were performed to select factors associated with resectability. Receiver operating characteristic (ROC) analysis was to determine if N-stage based GTV could identify resectability. In IVC and EVC, unweighted Cohen’s Kappa tests were to evaluate performances of the ROC models. RESULTS: According to univariate analysis, age, cT stage, cN stage and GTV were related to resectability in TC (all P-values < 0.05), and multivariate analysis suggested that cN stage and GTV were independent risk factors with odds ratios of 1.594 (95% confidence interval [CI]: 1.105–2.301) and 1.055 (95%CI: 1.035–1.076), respectively. ROC analysis in TC revealed the cutoffs of 21.81, 21.70 and 36.93 cm(3) to differentiate between resectable and unresectable cancers in stages cN(0-3), cN(2) and cN(3) with areas under the curves of more than 0.8, respectively, which was validated in IVC and EVC with average Cohen k-values of more than 0.72. CONCLUSIONS: GTV and cN stage can be independent risk factors of unresectable GA, and N-stage based GTV can help determine resectability. Frontiers Media S.A. 2022-10-05 /pmc/articles/PMC9579338/ /pubmed/36276081 http://dx.doi.org/10.3389/fonc.2022.1001593 Text en Copyright © 2022 Yu, Gao, Tang, Zhou, Ou, Li, Chen, Yang, Yan, Li, Zhang and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Yu, Zi-yi Gao, Dan Tang, Zhao Zhou, Hai-ying Ou, Jing Li, Ke-ying Chen, Xiao-qian Yang, Dan Yan, Lin-li Li, Rui Zhang, Xiao-ming Chen, Tian-wu A quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to N-stage measured at multidetector computed tomography for preoperative determination of resectability: A case control study |
title | A quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to N-stage measured at multidetector computed tomography for preoperative determination of resectability: A case control study |
title_full | A quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to N-stage measured at multidetector computed tomography for preoperative determination of resectability: A case control study |
title_fullStr | A quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to N-stage measured at multidetector computed tomography for preoperative determination of resectability: A case control study |
title_full_unstemmed | A quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to N-stage measured at multidetector computed tomography for preoperative determination of resectability: A case control study |
title_short | A quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to N-stage measured at multidetector computed tomography for preoperative determination of resectability: A case control study |
title_sort | quantitative model based on gross tumor volume of gastric adenocarcinoma corresponding to n-stage measured at multidetector computed tomography for preoperative determination of resectability: a case control study |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579338/ https://www.ncbi.nlm.nih.gov/pubmed/36276081 http://dx.doi.org/10.3389/fonc.2022.1001593 |
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