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

Benjamin Leporq (1) , Sophie Gaillard (2) , Liadeh Cuminal , Valerie Hervieu (3) , Olivier Guillaud (4) , Jérôme Dumortier (4) , Pierre-Jean Valette (5) , Olivier Beuf (1)

1 RMN et optique : De la mesure au biomarqueur
2 PILoT - Plateforme d'Imagerie Multimodale LyonTech
3 Tumeurs endocrines digestives : mécanismes de la tumorigenèse et de la progression tumorale
4 service d'Hépato-gastro-entérologie
5 CHLS - Centre Hospitalier Lyon Sud [CHU - HCL]

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.

Domaines: Imagerie

Benjamin Leporq, Sophie Gaillard, Liadeh Cuminal, Valerie Hervieu, Olivier Guillaud, et al.. A virtual liver biopsy based on mixed MRI radiomics and biological data: a proof of concept. 27th Annual meeting of the ISMRM, May 2019, Montréal, Canada. ⟨hal-02266794⟩