Apparent Diffusion Coefficient and Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Pancreatic Cancer
Authors:
- Na LiNLNa Li
- Weiwei ZhaoWZWeiwei Zhao
- Jing RenJRJing Ren
- Mengqi WeiMWMengqi Wei
- Yong YangYYYong Yang
- Yingmei WangYWYingmei Wang
- Xin FuXFXin Fu
- Zhuoli ZhangZZZhuoli Zhang
- Andrew C. LarsonALAndrew C. Larson
- Yi HuanYHYi Huan
- 1 January 2016
- journal article
- research article
- Published by Wolters Kluwer Health in Journal of Computer Assisted Tomography
- Vol. 40 (5) , 709-716
Abstract
To clarify diffusion and perfusion abnormalities and evaluate correlation between apparent diffusion coefficient (ADC), MR perfusion and histopathologic parameters of pancreatic cancer (PC). Eighteen patients with PC underwent diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Parameters of DCE-MRI and ADC of cancer and non-cancerous tissue were compared. Correlation between the rate constant that represents transfer of contrast agent from the arterial blood into the extravascular extracellular space (Ktrans), volume of the extravascular extracellular space per unit volume of tissue (Ve), and ADC of PC and histopathologic parameters were analyzed. The rate constant that represents transfer of contrast agent from the extravascular extracellular space into blood plasma, Ktrans, tissue volume fraction occupied by vascular space, and ADC of PC were significantly lower than nontumoral pancreases. Ve of PC was significantly higher than that of nontumoral pancreas. Apparent diffusion coefficient and Ktrans values of PC were negatively correlated to fibrosis content and fibroblast activation protein staining score. Fibrosis content was positively correlated to Ve. Apparent diffusion coefficient values and parameters of DCE-MRI can differentiate PC from nontumoral pancreases. There are correlations between ADC, Ktrans, Ve, and fibrosis content of PC. Fibroblast activation protein staining score of PC is negatively correlated to ADC and Ktrans. Apparent diffusion coefficient, Ktrans, and Ve may be feasible to predict prognosis of PC.Keywords
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