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Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model
Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model
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Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model
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Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model
Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model

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Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model
Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model
Journal Article

Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model

2017
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Overview
Purpose To investigate whether dynamic contrast -enhanced MRI (DCE-MRI) can distinguish the type of liver nodules in a rat model with N-nitrosodiethylamine- induced cirrhosis. Methods Liver nodules in cirrhosis were induced in 60 male Wistar rats via 0.01 % N-nitrosodiethylamine in the drinking water for 35-100 days. The nodules were divided into three groups: regenerative nodule (RN), dysplastic nodule (DN), and hepatocellular carcinoma (HCC). DCE-MRI was performed, and parameters including transfer constant (K trans ), rate constant (K ep ), extravascular extracellular space volume fraction (V e ), and initial area under the contrast concentration versus time curve (iAUC) were measured and compared. Results The highest K trans and iAUC values were seen in HCC, followed by DN and RN (all P  < 0.05). The area under the receiver operating characteristic curve (AUROC) for DN and HCC were 0.738 and 0.728 for K trans and iAUC, respectively. The AUROC for HCC were 0.850 and 0.840 for K trans and iAUC, respectively. Ordinal logistic regression analysis showed that K trans had a high goodness of fit (0.970, 95 % confidence interval, 13.751-24.958). Conclusion DCE-MRI is a promising method to differentiate of liver nodules. Elevated K trans suggested that the nodules may be transformed into HCC. Key points • DCE-MRI is promising for differentiating among RN, DN, and HCC • K trans and iAUC positively correlated with malignancy degree of liver nodules • Elevated K trans suggests that the nodules may be transformed into HCC

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