Banff Digital Pathology Working Group: Going digital in transplant pathology.

Alton B Farris, Ishita Moghe, Simon Wu, Julien Hogan, Lynn D Cornell, Mariam P Alexander, Jesper Kers, Anthony J Demetris, Richard M Levenson, John Tomaszewski, Laura Barisoni, Yukako Yagi, Kim Solez
Author Information
  1. Alton B Farris: Emory University, Atlanta, Georgia. ORCID
  2. Ishita Moghe: University of Alberta, Edmonton, Canada.
  3. Simon Wu: University of Alberta, Edmonton, Canada.
  4. Julien Hogan: Emory University, Atlanta, Georgia. ORCID
  5. Lynn D Cornell: Mayo Clinic, Rochester, Minnesota.
  6. Mariam P Alexander: Mayo Clinic, Rochester, Minnesota.
  7. Jesper Kers: Amsterdam University Medical Centers, Amsterdam, the Netherlands.
  8. Anthony J Demetris: University of Pittsburgh, Pittsburgh, Pennsylvania. ORCID
  9. Richard M Levenson: University of California Davis Health System, Sacramento, California.
  10. John Tomaszewski: University at Buffalo, State University of New York, Buffalo, New York.
  11. Laura Barisoni: Duke University, Durham, North Carolina.
  12. Yukako Yagi: Memorial Sloan Kettering Cancer Center, New York, New York.
  13. Kim Solez: University of Alberta, Edmonton, Canada.

Abstract

The Banff Digital Pathology Working Group (DPWG) was formed in the time leading up to and during the joint American Society for Histocompatibility and Immunogenetics/Banff Meeting, September 23-27, 2019, held in Pittsburgh, Pennsylvania. At the meeting, the 14th Banff Conference, presentations directly and peripherally related to the topic of "digital pathology" were presented; and discussions before, during, and after the meeting have resulted in a list of issues to address for the DPWG. Included are practice standardization, integrative approaches for study classification, scoring of histologic parameters (eg, interstitial fibrosis and tubular atrophy and inflammation), algorithm classification, and precision diagnosis (eg, molecular pathways and therapeutics). Since the meeting, a survey with international participation of mostly pathologists (81%) was conducted, showing that whole slide imaging is available at the majority of centers (71%) but that artificial intelligence (AI)/machine learning was only used in ≈12% of centers, with a wide variety of programs/algorithms employed. Digitalization is not just an end in itself. It also is a necessary precondition for AI and other approaches. Discussions at the meeting and the survey highlight the unmet need for a Banff DPWG and point the way toward future contributions that can be made.

Keywords

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Grants

  1. P30 CA008748/NCI NIH HHS
  2. R01 EB028635/NIBIB NIH HHS
  3. R33 CA202881/NCI NIH HHS

MeSH Term

Artificial Intelligence
Biopsy
Graft Rejection
Humans
Kidney Diseases
Kidney Transplantation
Pennsylvania

Word Cloud

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