Publication

Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments

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Last modified
  • 06/25/2025
Type of Material
Authors
    Alton Farris III, Emory UniversityMariam P. Alexander, Mayo ClinicUlysses G. J. Balis, University of MichiganLaura Barisoni, Duke UniversityPeter Boor, Aachen University ClinicRoman D. Bülow, Aachen University ClinicLynn D. Cornell, Mayo ClinicAnthony J. Demetris, University of PittsburghEvan Farkash, University of MichiganMeyke Hermsen, Radboud UniversityJulien Hogan, Emory UniversityRenate Kain, Medizinische Universität WienJesper Kers, University of AmsterdamJun Kong, Emory UniversityRichard M. Levenson, University of California DavisAlexandre Loupy, Paris-Centre de Recherche CardiovasculaireMaarten Naesens, KU LeuvenPinaki Sarder, University of FloridaJohn E. Tomaszewski, University at BuffaloJeroen van der Laak, Radboud UniversityDominique van Midden, Radboud UniversityYukako Yagi, Memorial Sloan-Kettering Cancer CenterKim Solez, University of Alberta
Language
  • English
Date
  • 2023-01-01
Publisher
  • Frontiers
Publication Version
Copyright Statement
  • © 2023 Farris, Alexander, Balis, Barisoni, Boor, Bülow, Cornell, Demetris, Farkash, Hermsen, Hogan, Kain, Kers, Kong, Levenson, Loupy, Naesens, Sarder, Tomaszewski, van der Laak, van Midden, Yagi and Solez.
License
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 36
Start Page
  • 11783
End Page
  • 11783
Grant/Funding Information
  • PB is supported by the German Research Foundation (DFG, Project IDs 322900939 & 445703531), European Research Council (ERC Consolidator Grant No 101001791), the Federal Ministries of Education and Research [BMBF, STOP-FSGS-01GM2202C; Economic Affairs and Climate Action (EMPAIA, No. 01MK2002A), and Health (Deep Liver, No. ZMVI1-2520DAT111), and the Innovation Fund of the Federal Joint Committee (Transplant.KI, No. 01VSF21048)]. JuK is supported in part by a grant from National Institutes of Health U01CA242936. JvL and RK have received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 945358. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation program and EFPIA. The Dutch Kidney Foundation supported JeK (DEEPGRAFT, 17OKG23), MH and DvM (DIAGGRAFT, 21OK+012) JeK was additionally funded by the Human(e) AI research priority area of the University of Amsterdam. MN is supported by the Research Foundation Flanders (FWO), with projects S003422N and G087620N, and by a KU Leuven C3 internal grant (C32/17/049). MN is senior clinical investigator of the FWO (supported by grant 1844019N).
Supplemental Material (URL)
Abstract
  • The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the calls, a variety of artificial intelligence (AI)-based support systems for transplantation pathology were presented. Potential collaborations in a competition/trial on AI applied to kidney transplant specimens, including the DIAGGRAFT challenge (staining of biopsies at multiple institutions, pathologists’ visual assessment, and development and validation of new and pre-existing Banff scoring algorithms), were also discussed. To determine the next steps, a survey was conducted, primarily focusing on the feasibility of establishing a digital pathology repository and identifying potential hosts. Sixteen of the 35 respondents (46%) had access to a server hosting a digital pathology repository, with 2 respondents that could serve as a potential host at no cost to the DPWG. The 16 digital pathology repositories collected specimens from various organs, with the largest constituent being kidney (n = 12,870 specimens). A DPWG pilot digital pathology repository was established, and there are plans for a competition/trial with the DIAGGRAFT project. Utilizing existing resources and previously established models, the Banff DPWG is establishing new resources for the Banff community.
Author Notes
Keywords
Research Categories
  • Health Sciences, Radiology
  • Health Sciences, Medicine and Surgery

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