Unsupervised machine learning identifies predictive progression markers of IPF.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To identify and evaluate predictive lung imaging markers and their pathways of change during progression of idiopathic pulmonary fibrosis (IPF) from sequential data of an IPF cohort. To test if these imaging markers predict outcome.

Authors

  • Jeanny Pan
    Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel, 18-20, Vienna, Austria.
  • Johannes Hofmanninger
    Universitätsklinik für Radiologie und Nuklearmedizin, Computational Imaging Research Lab, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.
  • Karl-Heinz Nenning
    Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, USA.
  • Florian Prayer
    Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
  • Sebastian Röhrich
    Universitätsklinik für Radiologie und Nuklearmedizin, Computational Imaging Research Lab, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.
  • Nicola Sverzellati
    Department of Medicine and Surgery, University of Parma, Parma, Italy.
  • Venerino Poletti
    UOC Pneumologia, Dipartimento di Malattie Apparato Respiratorio e Torace, Ospedale Morgagni-Pierantoni Forlì, Forlì, Italy.
  • Sara Tomassetti
    Department of Thoracic Diseases, Morgagni-Pierantoni Hospital, Forlì, Italy.
  • Michael Weber
    Computational Imaging Research Lab, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.
  • Helmut Prosch
    Universitätsklinik für Radiologie und Nuklearmedizin, Computational Imaging Research Lab, Medizinische Universität Wien, Währinger Gürtel 18-20, 1090, Wien, Österreich.
  • Georg Langs
    Department of Biomedical Imaging and Image-guided Therapy Computational Imaging Research Lab, Medical University of Vienna Vienna Austria.