Predicting hip-knee-ankle and femorotibial angles from knee radiographs with deep learning.

Journal: The Knee
Published Date: Apr 27, 2023

Abstract

BACKGROUND: Knee alignment affects the development and surgical treatment of knee osteoarthritis. Automating femorotibial angle (FTA) and hip-knee-ankle angle (HKA) measurement from radiographs could improve reliability and save time. Further, if HKA could be predicted from knee-only radiographs then radiation exposure could be reduced and the need for specialist equipment and personnel avoided. The aim of this research was to assess if deep learning methods could predict FTA and HKA angle from posteroanterior (PA) knee radiographs.

Authors

  • Jinhong Wang
    Department of Ultrasound, Shantou Chaonan Minsheng Hospital, Shantou, Guangdong, China.
  • Thomas A G Hall
    Department of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
  • Omar Musbahi
    Department of Surgery and Cancer, Imperial College London, White City Campus, London W12 0BZ, United Kingdom.
  • Gareth G Jones
    MSk Lab, Sir Michael Uren Hub, Imperial College London, London, United Kingdom.
  • Richard J van Arkel
    Department of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom. Electronic address: r.vanarkel@imperial.ac.uk.

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