Ontology highlight
ABSTRACT: Background
Surgical resection is a curative therapy for early-stage hepatocellular carcinoma (HCC) patients meeting the Milan criteria as well as a widely used therapy in intermediate-stage HCC. However, intermediate-stage HCC encompasses a wide spectrum of disease and there is a lack of good predictive models for the long-term clinical outcome of HCC patients currently. Here, the authors adopt Mazzaferro's Metroticket 2.0 to create a robust survival prediction model for intermediate-stage HCC patients undergoing surgical resection. Our algorithm considers age, AFP levels, ALBI score, and nodule size/number to generate survival estimates in an accessible graph format. Importantly, their model surpasses the American Joint Committee on Cancer staging model and was validated with inde
SUBMITTER: Hoang MTQ
PROVIDER: S-EPMC11573095 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature