From pixels to prognosis: Imaging biomarkers for discrimination and outcome prediction of pulmonary embolism : Original Research Article.

Journal: Emergency radiology
Published Date: Mar 25, 2024

Abstract

PURPOSE: Recent advancements in medical imaging have transformed diagnostic assessments, offering exciting possibilities for extracting biomarker-based information. This study aims to investigate the capabilities of a machine learning classifier that incorporates dual-energy computed tomography (DECT) radiomics. The primary focus is on discerning and predicting outcomes related to pulmonary embolism (PE).

Authors

  • Jennifer Gotta
    Goethe University Hospital Frankfurt, Frankfurt am Main, Germany. jennifergotta@aol.com.
  • Leon D Gruenewald
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Simon S Martin
    Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Dr, Charleston, SC 29425-2260 (S.S.M., D.M., M.v.A., C.N.D.C., R.R.B., C.T., A.V.S., A.M.F., B.E.J., L.P.G., U.J.S.); Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt, Germany (S.S.M., T.J.V.); Stanford University School of Medicine, Department of Radiology, Stanford, Calif (D.M.); Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (C.N.D.C.); Division of Cardiology, Department of Medicine, Medical University of South Carolina, Charleston, SC (R.R.B.); Department of Cardiology and Intensive Care Medicine, Heart Center Munich-Bogenhausen, Munich, Germany (C.T.); Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich, Germany (C.T.); Siemens Medical Solutions USA, Malvern, Pa (P.S.); and Department of Emergency Medicine, Medical University of South Carolina, Charleston, SC (A.J.M.).
  • Christian Booz
    Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt am Main, Germany. experimentalimaging@gmail.com.
  • Scherwin Mahmoudi
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Katrin Eichler
  • Tatjana Gruber-Rouh
    Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Teodora Biciusca
    Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Philipp Reschke
    Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Lisa-Joy Juergens
    Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
  • Melis Onay
    Department of Internal Medicine I, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany.
  • Eva Herrmann
    Goethe University Frankfurt, Department of Medicine, Institute of Biostatistics and Mathematical Modelling, Theodor-Stern-Kai 7, 60590 Frankfurt Main, Germany.
  • Jan-Erik Scholtz
    Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Christof M Sommer
    Clinic of Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
  • Thomas J Vogl
    Institute for Diagnostic and Interventional Radiology, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt, Germany.
  • Vitali Koch
    Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.

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