: Objective: Explore the value of sound velocity matching technology and ultrasonic shear wave elasticity technology in distinguishing primary liver cancer from liver hemangioma. Methods: A retrospective analysis of 63 patients with hepatic hemangioma (hemangioma group) and 41 patients with primary liver cancer (liver cancer group) selected from February 2019 to August 2020, all underwent ultrasonic shear wave elasticity technology , Sound velocity matching technology detection, compare the ultrasound images of benign and malignant masses as blood flow signal classification, then compare the two groups of patients Vmax, Vmean, ultrasonic shear wave elastography, ZSI, and use ROC curve to analyze the above-mentioned numerical prediction value . Results: The tumors in the liver cancer group were dominated by grade Ⅱ-Ⅲ blood flow signals, the internal echo was uneven, the shape was irregular, the boundary was not clear, and the appearance was hypoechoic; the tumors in the hemangioma group were dominated by grade 0-Ⅰ blood flow signals with morphology Rules, clear boundaries, uniform internal echo. The ultrasound performance and blood flow signal grades detected by SSC technology and SWE technology were not statistically different (P>0.05). The ZSI value, ultrasound shear wave elastography value, Vmax and Vmean values ??of patients in the liver cancer group were higher than those in the hemangioma group ( P<0.05), ROC curve analysis showed that ZSI value, ultrasonic shear wave elastography value, Vmax, Vmean and the combination of four items predicted AUC of 0.903, 0.885, 0.905, 0.936, 0.989 when distinguishing benign and malignant masses, respectively. Conclusion: Sound velocity matching technology and ultrasonic shear wave elasticity technology have certain effectiveness in distinguishing hepatic hemangioma and primary liver cancer, but the combination of the two can better reduce the misdiagnosis rate and provide scientific basis for clinical diagnosis and treatment.