Advances in the radiogenomics of hepatocellular carcinoma
Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence and lethality,and its early diagnosis,precision treatment and prognosis evaluation have always been the focus of medical research. The prognosis of HCC diagnosis and treatment is closely related to the mutation status of the tumor gene,but the traditional detection of HCC gene mutation status is mainly based on invasive methods. In recent years,radiogenomics has developed rapidly,which can associate the gene mutation status with the imaging characteristics of tumor tissue,bringing hope for the non-invasive prediction of HCC gene mutation status. At present,there have been many radiogenomics studies on HCC related gene mutations,but still lacking systematic combing and summary of the research methods and results. This paper reviews the current research status of radiogenomics using machine learning and big data technology for non-invasive evaluation of HCC,discusses the existing challenges,and explores future directions to provide a reference for advancing research in this field,as well as for enhancing clinical decision-making and precision treatment for HCC patients.
万方数据
维普
