Liang Ma1, Xiaowen Xu1, Min Zhang1, Shaoqiang Zheng1, Bo Zhang1, Wei Zhang2, Peijun Wang3. 1. Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China. 2. Department of Medical Imaging, Renji Hospital, Medical School of Jiaotong University, No. 160, Pujian Road, Pudong District, Shanghai 200127, China. Electronic address: zhangwei976@163.com. 3. Department of Medical Imaging, Tongji Hospital, Tongji University, No. 389, Xincun Road, Putuo District, Shanghai 200065, China. Electronic address: tongjipjwang@vip.sina.com.
Abstract
PURPOSE: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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. Copyright Â
PURPOSE: 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. METHODS: 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. RESULTS: 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). CONCLUSION: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. Copyright Â
Authors: Aaron J Scott; John J Arcaroli; Stacey M Bagby; Rachel Yahn; Kendra M Huber; Natalie J Serkova; Anna Nguyen; Jihye Kim; Andrew Thorburn; Jon Vogel; Kevin S Quackenbush; Anna Capasso; Anna Schreiber; Patrick Blatchford; Peter J Klauck; Todd M Pitts; S Gail Eckhardt; Wells A Messersmith Journal: Mol Cancer Ther Date: 2018-07-19 Impact factor: 6.261