Pre and postoperative machine learning models and point-based scores to predict risk of early recurrence in upfront resected large Hepatocellular carcinoma.

Fiche publication

Date publication

novembre 2025

Journal

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr PESSAUX Patrick

Tous les auteurs :
Giannone F, Goetsch T, Cassese G, Cubisino A, Felli E, Cipriani F, Branciforte B, Rhaiem R, Tropea A, Muttillo EM, Scarinci A, Al Taweel B, Brustia R, Salame E, Sommacale D, Gruttadauria S, Piardi T, Grazi GL, Torzilli G, Aldrighetti L, Lesurtel M, Han HS, Panaro F, Pessaux P

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/41317649

Résumé

Large Hepatocellular Carcinoma (LHCC) are aggressive tumours characterized by a high risk of early recurrence (ER). Although several models predicting this risk exist for HCC, no one is specific for tumours ≥5 cm. The aim of this study is to develop classic and machine learning (ML) models able to identify patients with this pattern of recurrence.