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Abstract: INFO30

The INTErnational diGital nephRopAThology nEtwork (INTEGRATE) for standardization of renal biopsy morphologic profiling

Session Information

  • Informational Posters
    October 25, 2018 | Location: Exhibit Hall, San Diego Convention Center
    Abstract Time: 10:00 AM - 12:00 PM


  • No subcategory defined


  • Barisoni, L., U. Miami, Miller School of Medicine, Miami Beach, Florida, United States
  • Hodgin, Jeffrey B., The University of Michigan, Ann Arbor, Michigan, United States
  • Palmer, Matthew, University of Pennsylvania, Philadelphia, Pennsylvania, United States
  • Rosenberg, Avi Z., Johns Hopkins University, Baltimore, Maryland, United States
  • Gaut, Joseph, Washington University School of Medicine, St. Louis, Missouri, United States
  • Bagnasco, S.M., The Johns Hopkins School of Medicine, Baltimore, Maryland, United States
  • Thomas, David B., University of Miami, Miller School of Medicine, Miami, Florida, United States
  • Avila-Casado, Carmen, University Health Network, University of Toronto, Toronto, Ontario, Canada
  • Lemley, K. V., CHLA, Los Angeles, California, United States
  • Rule, Andrew D., Mayo Clinic, Rochester, Minnesota, United States
  • Royal, Virginie, Hopital Maisonneuve-Rosemont, Montreal, Quebec, Canada
  • Hewitt, Stephen M., National Cancer Institute, Bethesda, Maryland, United States
  • Kretzler, Matthias, U.Michigan, Ann Arbor, Michigan, United States
  • Ju, Wenjun, University of Michigan, Ann Arbor, Michigan, United States
  • Kain, Renate, Medical University of Vienna, Wien, Austria
  • Rabant, Marion, NECKER Hospital, PARIS, France
  • Becker, Jan U., University Hospital Cologne, Köln, NW, Germany
  • Schaefer, Franz S., University of Heidelberg, Heidelberg, BW, Germany
  • Zeng, Cai-hong, Research Institute of Nephrology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
  • Wenderfer, Scott E., Baylor College of Medicine, Houston, Texas, United States
  • Laurinavicius, A., National Center of Pathology, Affiliate of Vilnius University Hospital Santariskiu Klinikos, Vilnius, Lithuania

In 2015, the first international effort, the INTErnational diGital nephRopAThology nEtwork (INTEGRATE), was launched to exploit whole slide imaging technology for the standardization of digital pathology repositories and morphologic profiling of renal biopsies. Standardized protocols were shared across consortia in North America (NEPTUNE & MWPNC), Europe (EURenOmics & AIDPATH & FOrME) and Asia (China-DiKip), and included procedures for a) biopsy image acquisition and storage in a web-based pathology information system; b) quality control; c) annotation (enumeration) of glomeruli across biopsy levels; d) morphologic profiling of renal parenchyma, utilizing a descriptor-based scoring system comprehensive of histologic, immunologic and ultrastructural features; e) morphometric profiling; and f) electronic scoring matrixes, to record quantitative morphologic and morphometric profiles Webinar-based conferences established consortium wide standardization. INTEGRATE has created an unprecedented collection of standardized pathology data across the Globe, opening new opportunities for worldwide collaborations. Several pilot studies have i) assessed accuracy and reproducibility of the INTEGRATE digital pathology protocols for morphologic and morphometric analysis, ii) explored standardized computer-aided image analysis of kidney biopsies, and iii) investigated the predictive value of descriptors or morphometric measurements across diverse populations. The standardized INTEGRATE image libraries and manual of operations are available to the kidney community for collaborative studies and the development of new hypothesis and approaches that, in return, can enrich the INTEGRATE consortia dataset.
INTEGRATE is the first example of globalization of standardized digital assessment of renal biopsies and is a critical tool to achieve comprehensive profiling of the kidney microstructure across diverse populations and to establish of new and robust clinically relevant patient categorization.