Assessment of a novel deep learning-based software developed for automatic feature extraction and grading of radiographic knee osteoarthritis.

Journal: BMC musculoskeletal disorders
Published Date: Nov 8, 2023

Abstract

BACKGROUND: The Kellgren-Lawrence (KL) grading system is the most widely used method to classify the severity of osteoarthritis (OA) of the knee. However, due to ambiguity of terminology, the KL system showed inferior inter- and intra-observer reliability. For a more reliable evaluation, we recently developed novel deep learning (DL) software known as MediAI-OA to extract each radiographic feature of knee OA and to grade OA severity based on the KL system.

Authors

  • Ji Soo Yoon
    Department of Orthopaedic Surgery, Seoul National University Bundang Hospital, Seongnam-Si, Republic of Korea.
  • Chang-Jin Yon
    Department of Orthopaedic Surgery, Keimyung University Dongsan Hospital, Daegu, Republic of Korea.
  • Daewoo Lee
    Crescom, Seongnam-Si, Republic of Korea.
  • Jae Joon Lee
    Crescom, Seongnam-si, Republic of Korea.
  • Chang Ho Kang
    Department of Radiology, Korea University Anam Hospital, Seoul, Korea. mallecot@gmail.com.
  • Seung-Baik Kang
    Department of Orthopaedic Surgery, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
  • Na-Kyoung Lee
    1Department of Food Science and Biotechnology of Animal Resources, Konkuk University, Seoul, 05029 Republic of Korea.
  • Chong Bum Chang
    Department of Orthopaedic Surgery, Seoul National University Bundang Hospital, Seongnam-Si, Republic of Korea.

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