Hepatocellular carcinoma is one of the common malignant tumours.It has a high degree of malignancy and poor prognosis and is characterized by high morbidity and mortality.Radiomics provides a quantitative analysis method.It transforms histopathology and tumour biology information in medical images into high-dimensional quantitative feature information and combines with artificial intelligence algorithms for data mining and statistical analysis to assist in the early clinical diagnosis and treatment of tumours.This paper reviews the research progress of radiomics in differential diagnosis,pathological grading,microvascular invasion,and immunohistochemical marker prediction of hepatocellular carcinoma.Meanwhile,it discusses the deficiencies in data volume and model reliability.It points out that it can be developed towards multicentre and multitasking to provide a reference for the auxiliary diagnosis of hepatocellular carcinoma.
国家科技期刊平台
NSTL
维普
万方数据
