AI-based assessment of longitudinal multiple sclerosis MRI: Strengths and weaknesses in clinical practice.

Journal: European journal of radiology
PMID: 39855145

Abstract

OBJECTIVES: In Multiple Sclerosis (MS) cerebral MRI is essential for disease and treatment monitoring. For this purpose, software solutions are available to support the radiologist with image interpretation and reporting of follow up imaging. Aim of this study was to evaluate an AI based software for longitudinal lesion detection with clinical data and to determine the influence of different MRI machines in such setting.

Authors

  • Sönke Peters
    Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Campus Kiel, Germany. Electronic address: Soenke.peters@uksh.de.
  • Lars Schmill
    Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Campus Kiel, Germany.
  • Carl Alexander Gless
    Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Campus Kiel, Germany.
  • Klarissa Stürner
    Department of Neurology, University Hospital of Schleswig-Holstein, Campus Kiel, Germany.
  • Olav Jansen
    Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Campus Kiel, Germany.
  • Svea Seehafer
    Department of Radiology and Neuroradiology, University Hospital of Schleswig-Holstein, Campus Kiel, Germany.

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