Published online Oct 15, 2025. doi: 10.4251/wjgo.v17.i10.106529
Revised: April 16, 2025
Accepted: May 26, 2025
Published online: October 15, 2025
Processing time: 221 Days and 2.6 Hours
Core Tip: The incidence and mortality of liver cancer continue to rise. The various screening methods for hepatocellular carcinoma (HCC) are radiomics, serum biomarkers, immunohistochemistry, genetic and molecular studies. Ki-67 protein in the nucleus is associated with cell proliferation, and indicates the aggressiveness of tumors. Evaluation and prediction of Ki-67 expression in HCC now have a significant role in the diagnosis, treatment, and prognosis of HCC. Elevated levels of Ki67 expression are associated with a poor prognosis and higher risk of HCC recurrence. Recently, radiomics, using machine learning-based ultrasomics, has demonstrated the capability to predict Ki-67 expression as a potential noninvasive tool for preoperative assessment in HCC.
