Objective To explore the impact of microvascular invasion (MVI) on the survival prognosis of patients after radical hepatectomy for hepatocellular carcinoma, to analyze its related risk factors, and to provide reference and support for the treatment of early postoperative recurrence. MethodsBy searching domestic and international medical literature databases, we screened studies related to MVI in hepatocellular carcinoma, focusing on the definition, grading, risk factors, preoperative prediction methods, and postoperative treatment strategies of MVI, and summarized the results of the existing studies. ResultsMVI is widely recognized as a significant risk factor for the intrahepatic metastasis and early postoperative recurrence of hepatocellular carcinoma. This paper aims to comprehensively investigate the characteristics of MVI and its impact on the postoperative recurrence of hepatocellular carcinoma, with a specific focus on identifying the risk factors associated with MVI. The study encompasses cutting-edge fields such as imaging genomics and genomics, with the objective of providing a scientific foundation for preoperative evaluation. Additionally, the paper examines postoperative treatment strategies for MVI, including comprehensive options such as local therapy, systemic therapy, and antiviral therapy, in order to establish a multidimensional intervention pathway for patients with hepatocellular carcinoma. The ultimate goal is to enhance prognosis and reduce recurrence rates. In the future, further refinement of MVI-related risk factors and optimization of preoperative prediction models, along with the development of personalized postoperative treatment plans, will be crucial areas of focus for hepatocellular carcinoma research and clinical practice. ConclusionsThe study of MVI and its targeted treatment strategies are important for reducing the postoperative recurrence rate of hepatocellular carcinoma and improving patient survival. The preoperative prediction model and postoperative treatment plan should be optimized in the future to provide more effective treatment reference for patients.