Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections.

Journal: European radiology experimental
Published Date: Jun 19, 2025

Abstract

BACKGROUND: In acute neck infections, magnetic resonance imaging (MRI) shows retropharyngeal edema (RPE), which is a prognostic imaging biomarker for a severe course of illness. This study aimed to develop a deep learning-based algorithm for the automated detection of RPE.

Authors

  • Oona Rainio
    Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland. ormrai@utu.fi.
  • Heidi Huhtanen
    Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland. hejohuh@utu.fi.
  • Jari-Pekka Vierula
    Department of Radiology, Turku University Hospital, Turku, Finland.
  • Janne Nurminen
    Department of Radiology, Turku University Hospital, Turku, Finland.
  • Jaakko Heikkinen
    Department of Radiology, Turku University Hospital, Turku, Finland.
  • Mikko Nyman
    Department of Radiology, University of Turku and Turku University Hospital, Turku, Finland.
  • Riku Klén
    Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
  • Jussi Hirvonen
    Department of Radiology, Turku University Hospital & University of Turku, Kiinamyllynkatu 4-8, 20521 Turku, Finland.

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