Deep Learning Reveals Liver MRI Features Associated With PNPLA3 I148M in Steatotic Liver Disease.

Journal: Liver international : official journal of the International Association for the Study of the Liver
Published Date:

Abstract

BACKGROUND: Steatotic liver disease (SLD) is the most common liver disease worldwide, affecting 30% of the global population. It is strongly associated with the interplay of genetic and lifestyle-related risk factors. The genetic variant accounting for the largest fraction of SLD heritability is PNPLA3 I148M, which is carried by 23% of the western population and increases the risk of SLD two to three-fold. However, identification of variant carriers is not part of routine clinical care and prevents patients from receiving personalised care.

Authors

  • Yazhou Chen
    National Key Laboratory on Electromagnetic Environment Effects, Army Engineering University of PLA Shijiazhuang 050003 China chen_yazhou@sina.com.
  • Benjamin P M Laevens
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Teresa Lemainque
    Department of Diagnostic and Interventional Radiology, Medical Faculty, RWTH Aachen University, 52074 Aachen, Germany. Electronic address: tlemainque@ukaachen.de.
  • Gustav Anton Müller-Franzes
    Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, Aachen, Germany.
  • Tobias Seibel
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Carola Dlugosch
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Jan Clusmann
    Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany.
  • Paul-Henry Koop
    Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany.
  • Rongpeng Gong
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Yuanyuan Liu
    College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
  • Niharika Jakhar
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Feng Cao
    Department of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China; Department of Cardiology, Chinese PLA General Hospital, Beijing, China.
  • Simon Schophaus
    Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany.
  • Thriveni Basavanapura Raju
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Anastasia Artemis Raptis
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Felix van Haag
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Joel Joy
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Rohit Loomba
    From the Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, 306 N Wright St, Urbana, IL 61801; Department of Radiology (M.B., M.P.A.), Liver Imaging Group, Department of Radiology (E.H., C.B.S.), and NAFLD Research Center, Division of Gastroenterology, Department of Medicine (R.L.), University of California, San Diego, La Jolla, Calif; and Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland (M.B.).
  • Luca Valenti
    Translational Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico and Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Italy.
  • Jakob Nikolas Kather
    Department of Medicine III, University Hospital RWTH Aachen, Aachen, Germany.
  • Titus J Brinker
    National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Moritz Herzog
    Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden (TU Dresden), Dresden, Germany.
  • Ivan G Costa
    Institute for Computational Genomics, Centre of Medical Technology (MTZ), RWTH Aachen University Medical School, Aachen, Germany.
  • Diego Hernando
    Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
  • Kai Markus Schneider
    Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany.
  • Daniel Truhn
    Department of Diagnostic and Interventional Radiology, University Hospital Düsseldorf, Düsseldorf, Germany (J.S., D.B.A., S.N.); Institute of Computer Vision and Imaging, RWTH University Aachen, Pauwelsstrasse 30, 52072 Aachen, Germany (J.S., D.M.); Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany (D.T., M.P., F.M., C.K., S.N.); and Faculty of Mathematics and Natural Sciences, Institute of Informatics, Heinrich Heine University Düsseldorf, Düsseldorf, Germany (S.C.).
  • Carolin V Schneider
    Department of Internal Medicine III, Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, Aachen, Germany.