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

Journal: European radiology
Published Date: Jan 8, 2025

Abstract

OBJECTIVES: 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.

Authors

  • Clément Malthiery
    Department of Adult Radiology, CHRU de Nancy, Vandoeuvre-lès-Nancy, France. c.malthiery@chru-nancy.fr.
  • Gabriela Hossu
    INSERM U1254, IADI, Université de Lorraine, 54511 Vandoeuvre-les-Nancy, France; CIC-IT, CHRU Nancy, Université de Lorraine, 54000 Nancy, France.
  • Ahmet Ayav
    Department of HPB Surgery, CHRU de Nancy, Vandoeuvre-lès-Nancy, France.
  • Valérie Laurent
    Department of Adult Radiology, CHRU de Nancy, 5 Rue du Morvan, 54500, Vandoeuvre-lès-Nancy, France.

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