LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning

LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning

Abstract Background Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI). Standardized reporting according to the Liver Imaging Reporting and Data System (LI-RADS) can improve Gd-MRI interpretation but is rather complex and time-co...

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Bibliographic Details
Main Authors: Róbert Stollmayer, Selda Güven, Christian Marcel Heidt, Kai Schlamp, Pál Novák Kaposi, Oyunbileg von Stackelberg, Hans-Ulrich Kauczor, Miriam Klauss, Philipp Mayer
Format: Article
Language:English
Published: BMC 2025-03-01
Series:Cancer Imaging
Subjects:
Hepatocellular carcinoma
Multiparametric MRI
Deep learning
Clinical guidelines
Online Access:https://doi.org/10.1186/s40644-025-00844-6
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https://doi.org/10.1186/s40644-025-00844-6

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