Dynamic contrast-enhanced MRI of gastric cancer: Correlations of the pharmacokinetic parameters with histological type, Lauren classification, and angiogenesis

磁共振成像 医学 血管生成 腺癌 癌症 病理 动态增强MRI 血管内皮生长因子 动态对比度 核医学 血管内皮生长因子受体 内科学 放射科
作者
Liang Ma,Xiaowen Xu,Min Zhang,Shaoqiang Zheng,Bo Zhang,Wei Zhang,Peijun Wang
出处
期刊:Magnetic Resonance Imaging [Elsevier]
卷期号:37: 27-32 被引量:34
标识
DOI:10.1016/j.mri.2016.11.004
摘要

To compare the pharmacokinetic parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in gastric cancers of different histological type and Lauren classification, and to investigate whether DCE-MRI parameters correlate with vascular endothelial growth factor (VEGF) expression levels in gastric cancer. Included were 32 patients with gastric cancer who underwent DCE-MRI of the upper abdomen before tumor resection. DCE-MRI parameters including the volume transfer coefficient (Ktrans), reverse reflux rate constant (Kep), and extracellular extravascular volume fraction (Ve) were calculated from the tumor region. Post-operative specimens were used for determination of histological differentiation (i.e., non-mucinous, mucinous, or signet-ring-cell adenocarcinoma) as well as Lauren classification (intestinal type or diffuse type). VEGF expression was examined for assessing angiogenesis. DCE-MRI parameters with different histological type and Lauren classification were compared using independent samples t-test and analysis of variance, respectively. Correlations between DCE-MRI parameters and VEGF expression grades were tested using Spearman correlation analysis. Among gastric adenocarcinomas of three different histological types, mucinous adenocarcinomas showed a higher Ve and lower Ktrans than the others (P < 0.01). Between the two Lauren classifications, the diffuse type showed a higher Ve than the intestinal type (P < 0.001). The mean Ktrans showed a significantly positive correlation with VEGF (r = 0.762, P < 0.001). DCE-MRI permits noninvasive prediction of tumor histological type and Lauren classification and estimation of tumor angiogenesis in gastric cancer. DCE-MRI parameters can be used as imaging biomarkers to predict the biologic aggressiveness of a tumor as well as patient prognosis.

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