pT1-2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast-enhanced computed tomography

PURPOSETo investigate the value of tumor morphologic features of pT1-2 gastric cancer (GC) on contrast-enhanced computed tomography (CT) in assessing lymph node metastasis (LNM) with reference to histopathological results.METHODSEighty-six patients seen from October 2017 to April 2019 with pT1‐2 GC...

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Main Authors: Zhicong Wang, Qingyu Liu, Xiongjie Zhuang, Yan Yan, Qingqiang Guo, Junhong Lu, Qinchao Wu, Liqing Xie
Format: Article
Language:English
Published: Galenos Publishing House 2023-03-01
Series:Diagnostic and Interventional Radiology
Subjects:
Online Access: http://www.dirjournal.org/archives/archive-detail/article-preview/pt1-2-gastric-cancer-with-lymph-node-metastasis-pr/57969
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author Zhicong Wang
Qingyu Liu
Xiongjie Zhuang
Yan Yan
Qingqiang Guo
Junhong Lu
Qinchao Wu
Liqing Xie
author_facet Zhicong Wang
Qingyu Liu
Xiongjie Zhuang
Yan Yan
Qingqiang Guo
Junhong Lu
Qinchao Wu
Liqing Xie
author_sort Zhicong Wang
collection DOAJ
description PURPOSETo investigate the value of tumor morphologic features of pT1-2 gastric cancer (GC) on contrast-enhanced computed tomography (CT) in assessing lymph node metastasis (LNM) with reference to histopathological results.METHODSEighty-six patients seen from October 2017 to April 2019 with pT1‐2 GC proven by histopathology were included. Tumor volume and CT densities were measured in the plain scan and the portal-venous phase (PVP), and the percent enhancement was calculated. The correlations between tumor morphologic features and the N stages were analyzed. The diagnostic capability of tumor volume and enhancement features in predicting the LN status of pT1-2 GCs was further investigated using receiver operating characteristic (ROC) analysis.RESULTSTumor volume, CT density in the PVP, and tumor percent enhancement in the PVP correlated significantly with the N stage (rho: 0.307, 0.558, and 0.586, respectively). Tumor volumes were significantly lower in the LNM− group than in the LNM+ group (14.4 mm3 vs. 22.6 mm3, P = 0.004). The differences between the LNM− and LNM+ groups in the CT density in the PVP and the percent enhancement in the PVP were also statistically significant (68.00 HU vs. 87.50 HU, P < 0.001; and 103.06% vs. 179.19%, P < 0.001, respectively). The area under the ROC curves for identifying the LNM+ group was 0.69 for tumor volume and 0.88 for percent enhancement in the PVP, respectively. The percent enhancement in the PVP of 145.2% and tumor volume of 17.4 mL achieved good diagnostic performance in determining LNM+ (sensitivity: 71.4%, 82.1%; specificity: 91.4%, 58.6%; and accuracy: 84.9%, 66.3%, respectively).CONCLUSIONTumor volume and percent enhancement in the PVP of pT1-2 GC could improve the diagnostic accuracy of LNM and would be helpful in image surveillance of these patients.
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spelling doaj.art-ac0e8d19a9114cdba8f80e4cc373fd632023-09-06T11:54:11ZengGalenos Publishing HouseDiagnostic and Interventional Radiology1305-38251305-36122023-03-0129222823310.4274/dir.2021.2128613049054pT1-2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast-enhanced computed tomographyZhicong Wang0Qingyu Liu1Xiongjie Zhuang2Yan Yan3Qingqiang Guo4Junhong Lu5Qinchao Wu6Liqing Xie7 Department of Radiology, The First Affiliated Hospital of Xiamen University, Xiamen, China Department of Ultrasound, The First Affiliated Hospital of Xiamen University, Xiamen, China Department of Radiology, The First Affiliated Hospital of Xiamen University, Xiamen, China Department of Radiology, The First Affiliated Hospital of Xiamen University, Xiamen, China Department of Radiology, The First Affiliated Hospital of Xiamen University, Xiamen, China Department of Radiology, The First Affiliated Hospital of Xiamen University, Xiamen, China Department of Pathology, The First Affiliated Hospital of Xiamen University, Xiamen, China Department of Child Healthcare, Children’s Hospital of Fudan University, Xiamen, China PURPOSETo investigate the value of tumor morphologic features of pT1-2 gastric cancer (GC) on contrast-enhanced computed tomography (CT) in assessing lymph node metastasis (LNM) with reference to histopathological results.METHODSEighty-six patients seen from October 2017 to April 2019 with pT1‐2 GC proven by histopathology were included. Tumor volume and CT densities were measured in the plain scan and the portal-venous phase (PVP), and the percent enhancement was calculated. The correlations between tumor morphologic features and the N stages were analyzed. The diagnostic capability of tumor volume and enhancement features in predicting the LN status of pT1-2 GCs was further investigated using receiver operating characteristic (ROC) analysis.RESULTSTumor volume, CT density in the PVP, and tumor percent enhancement in the PVP correlated significantly with the N stage (rho: 0.307, 0.558, and 0.586, respectively). Tumor volumes were significantly lower in the LNM− group than in the LNM+ group (14.4 mm3 vs. 22.6 mm3, P = 0.004). The differences between the LNM− and LNM+ groups in the CT density in the PVP and the percent enhancement in the PVP were also statistically significant (68.00 HU vs. 87.50 HU, P < 0.001; and 103.06% vs. 179.19%, P < 0.001, respectively). The area under the ROC curves for identifying the LNM+ group was 0.69 for tumor volume and 0.88 for percent enhancement in the PVP, respectively. The percent enhancement in the PVP of 145.2% and tumor volume of 17.4 mL achieved good diagnostic performance in determining LNM+ (sensitivity: 71.4%, 82.1%; specificity: 91.4%, 58.6%; and accuracy: 84.9%, 66.3%, respectively).CONCLUSIONTumor volume and percent enhancement in the PVP of pT1-2 GC could improve the diagnostic accuracy of LNM and would be helpful in image surveillance of these patients. http://www.dirjournal.org/archives/archive-detail/article-preview/pt1-2-gastric-cancer-with-lymph-node-metastasis-pr/57969 computed tomographycontrast enhancementgastric cancerlymph node metastasistumor volume
spellingShingle Zhicong Wang
Qingyu Liu
Xiongjie Zhuang
Yan Yan
Qingqiang Guo
Junhong Lu
Qinchao Wu
Liqing Xie
pT1-2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast-enhanced computed tomography
Diagnostic and Interventional Radiology
computed tomography
contrast enhancement
gastric cancer
lymph node metastasis
tumor volume
title pT1-2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast-enhanced computed tomography
title_full pT1-2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast-enhanced computed tomography
title_fullStr pT1-2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast-enhanced computed tomography
title_full_unstemmed pT1-2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast-enhanced computed tomography
title_short pT1-2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast-enhanced computed tomography
title_sort pt1 2 gastric cancer with lymph node metastasis predicted by tumor morphologic features on contrast enhanced computed tomography
topic computed tomography
contrast enhancement
gastric cancer
lymph node metastasis
tumor volume
url http://www.dirjournal.org/archives/archive-detail/article-preview/pt1-2-gastric-cancer-with-lymph-node-metastasis-pr/57969
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