Differentiation between subchondral insufficiency fractures and advanced osteoarthritis of the knee using transfer learning and an ensemble of convolutional neural networks.

Journal: Injury
Published Date: Jun 1, 2022

Abstract

PURPOSE: Subchondral insufficiency fractures (SIF) and advanced osteoarthritis (OA) of the knee are usually seen in conjunction with bone marrow lesions (BMLs) and their differentiation may pose a significant diagnostic challenge. We aimed to develop a convolutional neural network (CNN) ensemble which could successfully differentiate between these two entities.

Authors

  • Michail E Klontzas
    Department of Medical Imaging, Heraklion University Hospital, Crete, 70110, Greece; Advanced Hybrid Imaging Systems, Institute of Computer Science, Foundation for Research and Technology (FORTH), N. Plastira 100, Vassilika Vouton 70013, Heraklion, Crete, Greece. Electronic address: miklontzas@ics.forth.gr.
  • Evangelia E Vassalou
    Department of Medical Imaging, University Hospital of Heraklion, Voutes, 71110, Crete, Greece.
  • George A Kakkos
    Department of Medical Imaging, University Hospital of Heraklion, Voutes, 71110, Crete, Greece. Electronic address: vispan@windowslive.com.
  • Konstantinos Spanakis
    Department of Medical Imaging, University Hospital of Heraklion, Voutes, 71110, Crete, Greece.
  • Aristeidis Zibis
    Department of Anatomy, Medical School, University of Thessaly, Biopolis, 41500, Larissa, Greece. Electronic address: ahzibis@uth.gr.
  • Kostas Marias
    Computational BioMedicine Laboratory, FORTH-ICS, Heraklion, Crete, Greece.
  • Apostolos H Karantanas
    Computational Biomedicine Laboratory (CBML), Foundation for Research and Technology Hellas (FORTH), 70013 Heraklion, Greece.

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