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
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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