TY - JOUR
T1 - Banff Digital Pathology Working Group: Going digital in transplant pathology
AU - Farris, Alton B.
AU - Moghe, Ishita
AU - Wu, Simon
AU - Hogan, Julien
AU - Cornell, Lynn D.
AU - Alexander, Mariam P.
AU - Kers, Jesper
AU - Demetris, Anthony J.
AU - Levenson, Richard M.
AU - Tomaszewski, John
AU - Barisoni, Laura
AU - Yagi, Yukako
AU - Solez, Kim
PY - 2020/9/1
Y1 - 2020/9/1
N2 - 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.
AB - 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.
KW - basic (laboratory) research/science
KW - biopsy
KW - classification systems: Banff classification
KW - clinical research/practice
KW - informatics
KW - organ transplantation in general
KW - pathology/histopathology
KW - rejection
UR - http://www.scopus.com/inward/record.url?scp=85083666633&partnerID=8YFLogxK
U2 - https://doi.org/10.1111/ajt.15850
DO - https://doi.org/10.1111/ajt.15850
M3 - Article
C2 - 32185875
SN - 1600-6135
VL - 20
SP - 2392
EP - 2399
JO - American Journal of Transplantation
JF - American Journal of Transplantation
IS - 9
ER -