Predictive value of random forest prediction model based on postoperative adjuvant transcatheter arterial chemoembolization therapy for survival of hepatocellular carcinoma patients with microvascular invasion: a retrospective cohort study.

ABSTRACT:

Background

Microvascular invasion (MVI), as an important stage of tumor cell invasion of blood vessels, is a key step for hepatocellular carcinoma (HCC) to metastasize into the liver and remote organs. Transcatheter arterial chemoembolization (TACE) is currently the most widely used adjuvant treatment after HCC surgery, which is used to treat tumor micrometastasis, and can inactivate residual tumor foci and reduce the recurrence rate. However, there is still controversy concerning its efficacy. The objective of our clinical study is to use propensity score matching and random forest models to determine whether HCC patients with MVI can benefit from postoperative adjuvant TACE therapy. Additionally, based on adjuvant TACE treatment, we aim to develop individualized random forest pre

SUBMITTER: Dou Y 

PROVIDER: S-EPMC12554500 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature