Pathologically,hepatocellular carcinoma(HCC)is prone to invade the portal vein and form portal vein tumor thrombus(PVTT).Although great advances in the treatment of HCC have been achieved in recent years,HCC patients with PVTT still have limited therapeutic options and poor prognosis.Hepatic arterial infusion chemotherapy(HAIC)is a therapeutic approach that combines local therapy with systemic antitumor effects,and a lot of studies have shown that HAIC carries certain survival benefit to patients with advanced HCC complicated by PVTT,and it is considered to be an effective local therapy for advanced HCC,especially for patients with type Vp3-4 HCC.Systemic therapy is the main treatment for advanced HCC,but the diversity of HAIC combined with targeted and immunotherapy may become a more effective treatment option for HCC with severe PVTT,and it is possible to achieve a tumor-free state through translational therapy,allowing patients with advanced HCC to survive for a longer time.This article aims to summarize the research progress in HAIC for advanced HCC complicated by PVTT.

The prognosis of hepatocellular carcinoma(HCC)may be different in a great degree,and accurate predicting prognosis is helpful for carrying out individualized and precise treatment.With the developments of artificial intelligence,radiomics and deep learning(DL)were widely used,providing valuable information for diagnosis and treatment of HCC through mining higher dimensional quantitative features on medical images.The research progresses of radiomics and DL for predicting prognosis of HCC were reviewed in this article.