Characterization of hepatocellular carcinoma with CT with deep learning reconstruction compared with iterative reconstruction and 3-Tesla MRI.

Date publication

janvier 2025

Journal

European radiology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr AYAV Ahmet

Tous les auteurs :
Malthiery C, Hossu G, Ayav A, Laurent V

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/39775897

Résumé

This study compared the characteristics of lesions suspicious for hepatocellular carcinoma (HCC) and their LI-RADS classifications in adaptive statistical iterative reconstruction (ASIR) and deep learning reconstruction (DLR) to those of MR images, along with radiologist confidence.

Mots clés

Carcinoma (Hepatocellular), Liver, Magnetic resonance imaging, Prospective study, Tomography (X-ray computed)

Référence

Eur Radiol. 2025 01 8;: