Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis.

Journal: PloS one
Published Date: Aug 7, 2025

Abstract

PURPOSE: A novel AI-based 3D analysis system was developed to automatically extract bone and cartilage from MRI data and provide average cartilage thickness. This study aimed to analyze the interscan measurement error of knee cartilage thickness in osteoarthritis patients.

Authors

  • Hisako Katano
    Center for Stem Cell and Regenerative Medicine, Institute of Science Tokyo, Tokyo, Japan.
  • Eiji Sasaki
    Department of Orthopaedic Surgery, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
  • Kanto Nagai
    Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
  • Naofumi Hashiguchi
    Department of Orthopaedic Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Haruka Kaneko
    Department of Medicine for Orthopedics and Motor Organ, Juntendo University Graduate School of Medicine, Tokyo, Japan.
  • Yasuyuki Ishibashi
    Department of Orthopaedic Surgery, Hirosaki University, Graduate School of Medicine, Japan.
  • Ryosuke Kuroda
    Department of Orthopaedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan.
  • Nobuo Adachi
    Department of Orthopaedic Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
  • Muneaki Ishijima
    Department of Orthopaedics, Faculty of Medicine, Juntendo University, Tokyo, Japan.
  • Makoto Tomita
    School of Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan.
  • Jun Masumoto
    Fujifilm Corporation, Japan.
  • Ichiro Sekiya
    Center for Stem Cell and Regenerative Medicine, Institute of Science Tokyo, Tokyo, Japan.

Keywords

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