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平衡对比增强 CT 测定细胞外容积分数与胃癌组织病理学发现的相关性。

Extracellular volume fraction determined by equilibrium contrast-enhanced computed tomography: correlation with histopathological findings in gastric cancer.

机构信息

Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.

Department of Endoscopic Diagnostics and Therapeutics, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.

出版信息

Jpn J Radiol. 2023 Jul;41(7):752-759. doi: 10.1007/s11604-023-01393-3. Epub 2023 Feb 3.

Abstract

PURPOSE

To assess the relationship between histopathological features of gastric cancer and the extracellular volume fraction (ECV) measured by preoperative equilibrium contrast-enhanced computed tomography (CECT).

MATERIALS AND METHODS

The study group consisted of 66 patients with surgically resected gastric adenocarcinoma who underwent preoperative multiphasic CECT. Tumor ECVs were calculated using region-of-interest measurements within the gastric cancer and aorta of each case on unenhanced and equilibrium-phase images. The relationship between the mean ECV values and clinicopathological parameters was examined by univariate analysis. Parameters showing a significant difference in the former test were further tested by linear regression and receiver operating characteristic (ROC) curve analyses.

RESULTS

In the univariate analysis, the values of venous invasion (p = 0.0487) and tumor infiltration (INF) pattern (p < 0.0001) were significantly correlated with the tumor ECV. INF was significantly correlated (β = 0.57, p < 0.0001) in the linear regression analysis. The tumor ECV showed better diagnostic accuracy for predicting INF (INFa/b vs INFc), and the area under the ROC curve value was 0.89.

CONCLUSION

Tumor ECV determined by equilibrium CECT is significantly correlated with the pathological INF of gastric cancer.

摘要

目的

评估术前平衡对比增强 CT(CECT)测量的胃癌组织病理学特征与细胞外容积分数(ECV)之间的关系。

材料与方法

本研究纳入了 66 名接受手术切除的胃腺癌患者,所有患者均在术前进行了多期 CECT。使用每个病例的未增强和平衡期图像上的胃肿瘤和主动脉的感兴趣区域测量来计算肿瘤 ECV。通过单变量分析检查平均 ECV 值与临床病理参数之间的关系。在前者的检验中显示出显著差异的参数通过线性回归和接收器操作特性(ROC)曲线分析进一步检验。

结果

在单变量分析中,静脉侵犯(p=0.0487)和肿瘤浸润(INF)模式(p<0.0001)的值与肿瘤 ECV 显著相关。在线性回归分析中,INF 显著相关(β=0.57,p<0.0001)。肿瘤 ECV 对预测 INF(INFa/b 与 INFc)具有更好的诊断准确性,ROC 曲线下面积值为 0.89。

结论

由平衡 CECT 确定的肿瘤 ECV 与胃癌的病理 INF 显著相关。

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