Objective To investigate the utility of Liver Imaging Reporting and Data System （LI-RADS） v2016 for hepatocellular carcinoma （HCC） on contrast-enhanced ultrasound （CEUS）. Methods 129 patients (148 nodules) at risk with HCC were included in this study. All patients were examined by convention ultrasound and CEUS, the images were reviewed according to the LI-RADS categorization. Results were compared to histology and/or clinical diagnosis as reference standards. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the area under the ROC curve in the diagnosis of HCC with the LI-RADS categorization were calculated. Results 35 nodules were initially assigned as LR-1 or LR-2, 9 nodules were initially assigned as LR-3, 24 nodules were initially assigned as LR4, 43nodules were initially assigned as LR-5, 37 nodules were initially assigned as LR-M. 35 nodules in category 1 or 2 were benign nodules proved by clinical diagnosis. Of 76 nodules in category LR-3~5, there were 67 HCCs. Of 37 nodules in category LR-M, there was 1 HCC. If LR1 and LR2 were considered negative, and LR-3, 4, 5 were positive, then the sensitivity, the specificity and the PPV was 100%, 79.5% and 88.2%，respectively. If LR-1 and LR-2 were considered negative and LR-4, 5 were positive, the sensitivity, the specificity and the PPV was 100%, 87.5% and 92.5%, respectively. The area under the ROC curve were 0.949 and 0.952 respectively. Conclusions LI-RADS-CEUS offers a CEUS algorithm for standardized assessment and reporting of liver nodules in patients at risk with HCC，it is demonstrated as a valuable tool for the diagnosis of HCC.