Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine.

Journal: Kidney360
PMID:

Abstract

KEY POINTS: The authors leverage the unique benefits of panoptic segmentation to perform the largest ever quantitation of reference kidney morphometry. Kidney features vary with age and sex; and glomeruli size may intricately link to creatinine, defying prior notions.

Authors

  • Nicholas Lucarelli
    J. Crayton Pruitt Family, Department of Biomedical Engineering, University of Florida Herbert Wertheim College of Engineering, Gainesville, Florida.
  • Brandon Ginley
    Departments of Pathology and Anatomical Sciences, University at Buffalo Jacobs School of Medicine and Biomedical Sciences - The State University of New York, Buffalo, New York.
  • Jarcy Zee
    Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Sayat Mimar
    Quantitative Health Section, Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, College of Medicine, Gainesville, Florida.
  • Anindya S Paul
    Quantitative Health Section, Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, College of Medicine, Gainesville, Florida.
  • Sanjay Jain
    Division of Nephrology, School of Medicine, Washington University in St. Louis, St Louis, MO, USA.
  • Seung Seok Han
    Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
  • Luis Rodrigues
    University Clinic of Nephrology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal.
  • Tezcan Ozrazgat-Baslanti
    Department of Medicine, University of Florida, Gainesville, FL USA.
  • Michelle L Wong
    Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, California.
  • Girish Nadkarni
    Division of Data-Driven and Digital Medicine (D3M), The Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • William L Clapp
    Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, Florida.
  • Kuang-Yu Jen
    Department of Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, Davis, CA, United States.
  • Pinaki Sarder