Deep learning-assisted detection of meniscus and anterior cruciate ligament combined tears in adult knee magnetic resonance imaging: a crossover study with arthroscopy correlation.

Journal: International orthopaedics
Published Date:

Abstract

AIM: We aimed to compare the diagnostic performance of physicians in the detection of arthroscopically confirmed meniscus and anterior cruciate ligament (ACL) tears on knee magnetic resonance imaging (MRI), with and without assistance from a deep learning (DL) model.

Authors

  • Julien Behr
    Department of Traumatology and Orthopaedic Surgery, Hotel-Dieu University Hospital, University of Nantes, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France.
  • Christophe Nich
    Department of Traumatology and Orthopaedic Surgery, Hotel-Dieu University Hospital, University of Nantes, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France. pr.christophe.nich@gmail.com.
  • Gaspard d'Assignies
    Incepto Medical, Paris, France.
  • Catalin Zavastin
    Université Versailles Saint-Quentin-en-Yvelines, Centre hospitalier de Versailles - Hôpital Mignot, Service de Radiologie, Versailles, France.
  • Pascal Zille
    Incepto Medical, Paris, France.
  • Guillaume Herpe
    Department of Radiology, University Hospital of Poitiers, 2 rue de la Milétrie, 86021 Poitiers, France.
  • Ramy Triki
    Nantes Université, CHU Nantes, Clinique Chirurgicale Orthopédique et Traumatologique, Nantes, France.
  • Charles Grob
    Université Versailles Saint-Quentin-en-Yvelines, Centre hospitalier de Versailles - Hôpital Mignot, Service de Chirurgie Orthopédique et Traumatologique, Versailles, France.
  • Nicolas Pujol
    Université Versailles Saint-Quentin-en-Yvelines, Centre hospitalier de Versailles - Hôpital Mignot, Service de Chirurgie Orthopédique et Traumatologique, Versailles, France.