A magnetic resonance imaging radiomics approach predicts hepatocellular carcinoma response to stereotactic body radiation therapy

Background and purpose: Predicting hepatocellular carcinoma (HCC) response to Stereotactic Body Radiation Therapy (SBRT) can be challenging. Here, we assessed the value of a radiomics-based machine learning (ML) approach for predicting HCC response to SBRT, using pre-treatment and early post-treatme...

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Bibliographic Details

Published in:	Physics and Imaging in Radiation Oncology
Main Authors:	Amine Geahchan, Valentin Fauveau, Ghadi Abboud, Pamela Argiriadi, Muhammed Shareef, Michael Buckstein, Bachir Taouli
Format:	Article
Language:	English
Published:	Elsevier 2025-07-01
Subjects:	Carcinoma, hepatocellular Radiomics Magnetic resonance imaging Stereotactic radiation therapies
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405631625001319