CT-based deep learning prediction of complete response in intermediate-stage hepatocellular carcinoma treated with drug-eluting beads transarterial chemoembolization.

Date publication

janvier 2025

Journal

BJR artificial intelligence

Auteurs

Membres identifiés du Cancéropôle Est :
Pr BAUMERT Thomas

Tous les auteurs :
Dana J, Vardazaryan A, Gallix B, Ronot M, Mazellier JP, Parsons M, Vilgrain V, Baumert TF, Reinhold C, Padoy N, Grégory J

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/42063993

Résumé

To develop a CT-based deep learning (DL) model to predict complete response (CR) to drug-eluting beads-transarterial chemoembolization (TACE) in patients with naive Barcelona Clinic Liver Cancer (BCLC) B hepatocellular carcinoma (HCC).

Mots clés

deep learning, hepatocellular carcinoma, liver imaging score, transarterial chemoembolization, treatment response

Référence

BJR Artif Intell. 2025 01;2(1):ubaf018