AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study

AI-derived body composition parameters as prognostic factors in patients with HCC undergoing TACE in a multicenter study

Background & Aims: Body composition assessment (BCA) parameters have recently been identified as relevant prognostic factors for patients with hepatocellular carcinoma (HCC). Herein, we aimed to investigate the role of BCA parameters for prognosis prediction in patients with HCC undergoing t...

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Main Authors: Lukas Müller, Aline Mähringer-Kunz, Timo Alexander Auer, Uli Fehrenbach, Bernhard Gebauer, Johannes Haubold, Benedikt Michael Schaarschmidt, Moon-Sung Kim, René Hosch, Felix Nensa, Jens Kleesiek, Thierno D. Diallo, Michel Eisenblätter, Hanna Kuzior, Natascha Roehlen, Dominik Bettinger, Verena Steinle, Philipp Mayer, David Zopfs, Daniel Pinto Dos Santos, Roman Kloeckner
Format: Article
Language:English
Published: Elsevier 2024-08-01
Series:JHEP Reports
Subjects:
Hepatocellular Carcinoma
Artificial Intelligence
Transarterial Chemoembolization
Body Composition
Online Access:http://www.sciencedirect.com/science/article/pii/S2589555924001290

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http://www.sciencedirect.com/science/article/pii/S2589555924001290

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