High risk fibrosis score prediction using computed tomography imaging
Elton Rexhepaj [1], Corinne Ramos [1], Yan Liu [1], Benoit Huet [1], Olivier Lucidarme [2], Nozha Boujemaa [1] – Affiliations: [1] Median Technologies, Valbonne, France - [2] Hôpital Universitaire Pitié-Salpêtrière-APHP, Paris, France
Poster presented at the Digital International Liver Congress – EASL – August 27-29, 2020
Hepatic fibrosis diagnosis is important for risk stratification, prognosis evaluation and monitoring of treatment response. Using computer tomography (CT) perfusion imaging and splenic radiomics, the objective of this study is to validate the use this non-invasive fibrosis scoring method to identify patients whose tumors are at high risk of recurrence after hepatic resection.