Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning.

Journal: European radiology
Published Date: May 1, 2019

Abstract

PURPOSE: To evaluate the diagnostic performance of bone texture analysis (TA) combined with machine learning (ML) algorithms in standard CT scans to identify patients with vertebrae at risk for insufficiency fractures.

Authors

  • Urs J Muehlematter
    Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Switzerland; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.
  • Manoj Mannil
  • Anton S Becker
    From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
  • Kerstin N Vokinger
    University Hospital of Zurich, Zurich, Switzerland.
  • Tim Finkenstaedt
    Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
  • Georg Osterhoff
    Department of Trauma, University Hospital Zurich, Zurich, Switzerland.
  • Michael A Fischer
    Department of Radiology, University Hospital Balgrist, University of Zurich, Zurich, Switzerland.
  • Roman Guggenberger
    Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.

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