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Banff Digital Pathology Working Group: Going digital in transplant pathology
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 direc...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496838/ https://www.ncbi.nlm.nih.gov/pubmed/32185875 http://dx.doi.org/10.1111/ajt.15850 |
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author | Farris, Alton B. Moghe, Ishita Wu, Simon Hogan, Julien Cornell, Lynn D. Alexander, Mariam P. Kers, Jesper Demetris, Anthony J. Levenson, Richard M. Tomaszewski, John Barisoni, Laura Yagi, Yukako Solez, Kim |
author_facet | Farris, Alton B. Moghe, Ishita Wu, Simon Hogan, Julien Cornell, Lynn D. Alexander, Mariam P. Kers, Jesper Demetris, Anthony J. Levenson, Richard M. Tomaszewski, John Barisoni, Laura Yagi, Yukako Solez, Kim |
author_sort | Farris, Alton B. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7496838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74968382020-09-25 Banff Digital Pathology Working Group: Going digital in transplant pathology Farris, Alton B. Moghe, Ishita Wu, Simon Hogan, Julien Cornell, Lynn D. Alexander, Mariam P. Kers, Jesper Demetris, Anthony J. Levenson, Richard M. Tomaszewski, John Barisoni, Laura Yagi, Yukako Solez, Kim Am J Transplant ORIGINAL ARTICLES 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. John Wiley and Sons Inc. 2020-04-19 2020-09 /pmc/articles/PMC7496838/ /pubmed/32185875 http://dx.doi.org/10.1111/ajt.15850 Text en © 2020 The Authors. American Journal of Transplantation published by Wiley Periodicals, Inc. on behalf of The American Society of Transplantation and the American Society of Transplant Surgeons. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | ORIGINAL ARTICLES Farris, Alton B. Moghe, Ishita Wu, Simon Hogan, Julien Cornell, Lynn D. Alexander, Mariam P. Kers, Jesper Demetris, Anthony J. Levenson, Richard M. Tomaszewski, John Barisoni, Laura Yagi, Yukako Solez, Kim Banff Digital Pathology Working Group: Going digital in transplant pathology |
title | Banff Digital Pathology Working Group: Going digital in transplant pathology |
title_full | Banff Digital Pathology Working Group: Going digital in transplant pathology |
title_fullStr | Banff Digital Pathology Working Group: Going digital in transplant pathology |
title_full_unstemmed | Banff Digital Pathology Working Group: Going digital in transplant pathology |
title_short | Banff Digital Pathology Working Group: Going digital in transplant pathology |
title_sort | banff digital pathology working group: going digital in transplant pathology |
topic | ORIGINAL ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496838/ https://www.ncbi.nlm.nih.gov/pubmed/32185875 http://dx.doi.org/10.1111/ajt.15850 |
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