Applying deep learning to quantify empty lacunae in histologic sections of osteonecrosis of the femoral head.

Journal: Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Published Date: Oct 27, 2021

Abstract

Osteonecrosis of the femoral head (ONFH) is a disease in which inadequate blood supply to the subchondral bone causes the death of cells in the bone marrow. Decalcified histology and assessment of the percentage of empty lacunae are used to quantify the severity of ONFH. However, the current clinical practice of manually counting cells is a tedious and inefficient process. We utilized the power of artificial intelligence by training an established deep convolutional neural network framework, Faster-RCNN, to automatically classify and quantify osteocytes (healthy and pyknotic) and empty lacunae in 135 histology images. The adjusted correlation coefficient between the trained cell classifier and the ground truth was R = 0.98. The methods detailed in this study significantly reduced the manual effort of cell counting in ONFH histological samples and can be translated to other fields of image quantification.

Authors

  • Elaine Lui
    Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California, USA.
  • Masahiro Maruyama
    Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California, USA.
  • Roberto A Guzman
    Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California, USA.
  • Seyedsina Moeinzadeh
    Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California, USA.
  • Chi-Chun Pan
    Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California, USA.
  • Alexa K Pius
    Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California, USA.
  • Madison S V Quig
    Department of Bioengineering, Stanford University School of Engineering, Stanford, California, USA.
  • Laurel E Wong
    Department of Human Biology, Stanford University School of Humanities and Sciences, Stanford, California, USA.
  • Stuart B Goodman
    Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California, USA.
  • Yunzhi P Yang
    Department of Orthopaedic Surgery, Stanford University School of Medicine, Stanford, California, USA.

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