Abstract
Objective To investigate the correlation and predictive value between contrast-enhanced ultrasonography (CEUS) and microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC). Methods Total of 233 (162 male, 71 female) patients treated from July 2013 to September 2016 at the Mengchao Hepatobiliary Hospital of Fujian Medical University were enrolled in this research. The mean age ± SD was 55.1 ±11.6 years. MVI was positive in 85 patients and negative in 148 patients. All patients underwent CEUS examination within one week before operation. A quantitative analysis software was used to analyze the size, shape and volume of the tumors. The difference in the volume of the tumors before and after CEUS, the peak intensity of the tumors and the washout time of the tumors were recorded. This study aimed to analyze the influencing factors of MVI in HCC patients, and the predictive value of MVI. Results Compared with the MVI negative group, the MVI positive group had larger tumor diameters, higher proportions of middle/low differentiation, irregular shapes and rapid clearance, shorter clearance time and a larger difference in tumor volume before and after angiography (P<0.05). Multivariate logistic regression analysis after excluding collinearity showed that a large diameter of tumors, large difference in tumor volume before and after CEUS, and faster washout were influencing factors of MVI in HCC patients. The ROC curve was used to analyze the predictive value of tumor volume difference on MVI before and after angiography. The cut-off value was 2.195. The sensitivity, specificity, positive predictive value and negative predictive value were 0.682, 0.696, 67.9% and 72.8%, respectively. Conclusion Large diameter of tumors, large difference in volume of tumors before and after CEUS, and fast washout time were influencing factors of MVI in HCC patients. A quantitative analysis of CEUS could predict the presence of MVI. Key words: Carcinoma, hepatocellular; Microvascular invasion; Contrast-enhanced ultrasound; Quantitative analysis
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