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Abstract #1731

A virtual liver biopsy based on mixed MRI radiomics and biological data: a proof of concept

Benjamin Leporq1, Sophie Gaillard1, Liadeh Cuminal2, Valerie Hervieu3, Olivier Guillaud4, Jerome Dumortier4, Pierre-Jean Valette5, and Olivier Beuf1

1CREATIS CNRS UMR 5220; Inserm U1206; INSA-Lyon; UCBL Lyon 1, Université de Lyon, Villeurbanne, France, 2Department of Radiology, CHU Edouard Herriot, Lyon, France, 3Department of Pathology, CHU Edouard Herriot, Lyon, France, 4Department of Hepato-Gastro-Enterology, CHU Edouard Herriot, Lyon, France, 5Department of Radiology, CHU Lyon Sud, Lyon, France

Whereas NASH is associated with poor long-term outcome, widespread screening is not currently feasible given that a definitive diagnosis of NASH can only be made through liver biopsy. In this study, a virtual liver biopsy was developed with machine learning from mixed multiparametric MRI radiomics and biological data.

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