High-throughput quantitative histology in systemic sclerosis skin disease using computer vision.

Journal: Arthritis research & therapy
PMID: 32171325

Abstract

BACKGROUND: Skin fibrosis is the clinical hallmark of systemic sclerosis (SSc), where collagen deposition and remodeling of the dermis occur over time. The most widely used outcome measure in SSc clinical trials is the modified Rodnan skin score (mRSS), which is a semi-quantitative assessment of skin stiffness at seventeen body sites. However, the mRSS is confounded by obesity, edema, and high inter-rater variability. In order to develop a new histopathological outcome measure for SSc, we applied a computer vision technology called a deep neural network (DNN) to stained sections of SSc skin. We tested the hypotheses that DNN analysis could reliably assess mRSS and discriminate SSc from normal skin.

Authors

  • Chase Correia
    Department of Internal Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Seamus Mawe
    Vermont Complex Systems Center, The University of Vermont, Burlington, Vermont.
  • Shane Lofgren
    Stanford Institute for Immunity, Transplantation and Infection (ITI), Stanford University, Stanford, CA, 94305, USA.
  • Roberta G Marangoni
    Department of Internal Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Jungwha Lee
    Institute for Public Health and Medicine, Chicago, IL, USA.
  • Rana Saber
    Department of Internal Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Kathleen Aren
    Department of Internal Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Michelle Cheng
    Yale School of Medicine, Department of Medicine, Section of Rheumatology, Allergy & Immunology, New Haven, CT, USA.
  • Shannon Teaw
    Yale School of Medicine, Department of Medicine, Section of Rheumatology, Allergy & Immunology, New Haven, CT, USA.
  • Aileen Hoffmann
    Department of Internal Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Isaac Goldberg
    Department of Internal Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Shawn E Cowper
    Department of Dermatology, Yale University School of Medicine, New Haven, CT, USA.
  • Purvesh Khatri
    Department of Radiation Oncology, Stanford University School of Medicine , Stanford, California 94305, United States.
  • Monique Hinchcliff
    Department of Internal Medicine, Division of Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA. Monique.hinchcliff@yale.edu.
  • J Matthew Mahoney
    Department of Neurological Sciences, University of Vermont College of Medicine, Burlington, VT, United States of America.

Keywords

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