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肿瘤标志物与对比增强计算机断层扫描在胃肝样腺癌和胃腺癌中的鉴别诊断价值

Differential diagnostic value of tumor markers and contrast-enhanced computed tomography in gastric hepatoid adenocarcinoma and gastric adenocarcinoma.

作者信息

Dong Congsong, Wang Yanling, Gu Xiaoyu, Lv Xiaojing, Ren Shuai, Wang Zhongqiu, Dai Zhenyu

机构信息

Department of Radiology, Affiliated Hospital 6 of Nantong University (Yancheng Third People's Hospital), Yancheng, China.

Department of Radiology, The People's Hospital of Suzhou New District, Suzhou, China.

出版信息

Front Oncol. 2023 Jul 19;13:1222853. doi: 10.3389/fonc.2023.1222853. eCollection 2023.

DOI:10.3389/fonc.2023.1222853
PMID:37538113
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10396771/
Abstract

OBJECTIVE

This study aimed to investigate the effectiveness of tumor markers and contrast-enhanced computed tomography (CE-CT) in differentiating gastric hepatoid adenocarcinoma (GHA) from gastric adenocarcinoma (GA).

METHODS

This retrospective study included 160 patients (44 with GHA vs. 116 with GA) who underwent preoperative CE-CT. Preoperative serum concentrations of tumor biomarkers and CT imaging features were analyzed, including alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), tumor location, growth pattern, size, enhancement pattern, cystic changes, and mass contrast enhancement. Multivariate logistic regression analyses were performed to evaluate useful tumor markers and CT imaging features for differentiating GHA from GA.

RESULTS

When compared to GA, GHA showed a higher serum AFP [13.27 ng/ml (5.2-340.1) vs. 2.7 ng/ml (2.2-3.98), 0.001] and CEA levels [4.07 ng/ml (2.73-12.53) vs. 2.42 ng/ml (1.38-4.31), 0.001]. CT imaging showed GHA with a higher frequency of tumor location in the gastric antrum (0.001). GHA had significantly lower attenuation values at the portal venous phase [PCA, (82.34 HU ± 8.46 vs. 91.02 HU ± 10.62, 0.001)] and delayed phase [DCA, (72.89 HU ± 8.83 vs. 78.27 HU ± 9.51, 0.001)] when compared with GA. Multivariate logistic regression analyses revealed that tumor location, PCA, and serum AFP level were independent predictors of differentiation between GHA and GA. The combination of these three predictors performed well in discriminating GHA from GA, with an AUC of 0.903, a sensitivity of 86.36%, and a specificity of 81.90%.

CONCLUSIONS

Integrated evaluation of tumor markers and CT features, including tumor location, PCA, and serum AFP, allowed for more accurate differentiation of GHA from GA.

摘要

目的

本研究旨在探讨肿瘤标志物及对比增强计算机断层扫描(CE-CT)在鉴别胃肝样腺癌(GHA)与胃腺癌(GA)中的有效性。

方法

本回顾性研究纳入了160例行术前CE-CT检查的患者(44例GHA患者与116例GA患者)。分析术前血清肿瘤生物标志物浓度及CT影像特征,包括甲胎蛋白(AFP)、癌胚抗原(CEA)、糖类抗原19-9(CA19-9)、糖类抗原125(CA125)、肿瘤位置、生长方式、大小、强化方式、囊性变及肿块对比增强情况。进行多因素逻辑回归分析,以评估鉴别GHA与GA的有用肿瘤标志物及CT影像特征。

结果

与GA相比,GHA患者血清AFP水平更高[13.27 ng/ml(5.2 - 340.1)vs. 2.7 ng/ml(2.2 - 3.98),P = 0.001],CEA水平也更高[4.07 ng/ml(2.73 - 12.53)vs. 2.42 ng/ml(1.38 - 4.31),P = 0.001]。CT影像显示GHA肿瘤位于胃窦部的频率更高(P = 0.001)。与GA相比,GHA在门静脉期[PCA,(82.34 HU ± 8.46 vs. 91.02 HU ± 10.62,P = 0.001)]及延迟期[DCA,(72.89 HU ± 8.83 vs. 78.27 HU ± 9.51,P = 0.001)]的衰减值显著更低。多因素逻辑回归分析显示,肿瘤位置、PCA及血清AFP水平是鉴别GHA与GA的独立预测因素。这三个预测因素联合应用在鉴别GHA与GA方面表现良好,曲线下面积(AUC)为0.903,敏感度为86.36%,特异度为81.90%。

结论

对肿瘤标志物及CT特征(包括肿瘤位置、PCA及血清AFP)进行综合评估,有助于更准确地鉴别GHA与GA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/33b24d9c503d/fonc-13-1222853-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/844e58d669e1/fonc-13-1222853-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/33f3e5d348f5/fonc-13-1222853-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/6869c2f863f4/fonc-13-1222853-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/cbba1af9c678/fonc-13-1222853-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/33b24d9c503d/fonc-13-1222853-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/844e58d669e1/fonc-13-1222853-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/33f3e5d348f5/fonc-13-1222853-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/6869c2f863f4/fonc-13-1222853-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/cbba1af9c678/fonc-13-1222853-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1456/10396771/33b24d9c503d/fonc-13-1222853-g005.jpg

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