Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.

Journal: European journal of radiology
Published Date: May 1, 2019

Abstract

PURPOSE: To investigate and compare the reproducibility and accuracy of qualitative ratings and quantitative texture analysis (TA) in detection and grading of lumbar spinal stenosis (LSS) in magnetic resonance imaging (MR) scans of the lumbar spine.

Authors

  • Florian A Huber
    Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland. Electronic address: florian.huber@usz.ch.
  • Shanon Stutz
    Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
  • Ilaria Vittoria De Martini
    Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zürich, Switzerland.
  • Manoj Mannil
  • Anton S Becker
    From the Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
  • Sebastian Winklhofer
    Department of Neuroradiology, University Hospital Zurich, Zurich, Switzerland.
  • Jakob M Burgstaller
    Horten Centre for Patient Oriented Research And Knowledge Transfer, 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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