Clinical relevance of computationally derived tubular features and their spatial relationships with the interstitial microenvironment in minimal change disease/focal segmental glomerulosclerosis.

Journal: Kidney international
Published Date:

Abstract

BACKGROUND: Visual scoring of tubular damage has limitations in capturing the full spectrum of structural changes and prognostic potential. Here, we investigated if computationally quantified tubular features can enhance prognostication and reveal spatial relationships with interstitial fibrosis.

Authors

  • Fan Fan
    Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, China.
  • Qian Liu
    State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Jarcy Zee
    Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Takaya Ozeki
    Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Dawit Demeke
    Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
  • Yingbao Yang
    Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
  • Markus Bitzer
    Department of Internal Medicine, Nephrology, University of Michigan, Ann Arbor, MI, USA.
  • Christopher L O'Connor
    Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
  • Alton B Farris
    Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, 30322, USA.
  • Bangchen Wang
    Division of AI and Computational Pathology, Department of Pathology, Duke University, Durham, North Carolina, USA.
  • Bangcheng Wang
    Division of AI and Computational Pathology, Department of Pathology, Duke University, Durham, North Carolina, USA.
  • Manav Shah
    Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, USA.
  • Jackson Jacobs
    Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia, USA.
  • Laura Mariani
    Department of Internal Medicine, Nephrology, University of Michigan, Ann Arbor, MI, USA.
  • Kyle J Lafata
    Department of Radiology, Duke University School of Medicine, Durham, NC, USA. kyle.lafata@duke.edu.
  • Kyle Lafata
    Department of Radiation Oncology, Duke University, Durham, North Carolina, USA.
  • Jeremy Rubin
    Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
  • Yijiang Chen
    Case Western Reserve University, Cleveland, OH.
  • Lawrence B Holzman
    Division of Nephrology and Hypertension, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Lawrence Holzman
    Division of Nephrology and Hypertension, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Jeffrey B Hodgin
    Department of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
  • Anant Madabhushi
    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio.
  • Laura Barisoni
    Department of Pathology and Medicine, Division of Nephrology, Duke University, Durham, North Carolina, USA.
  • Andrew Janowczyk
    Biomedical Engineering Department, Case Western Reserve University, Cleveland, Ohio.