Subject(s)
COVID-19/complications , Kidney Diseases/diagnosis , Nephrology/trends , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/therapy , Diffusion of Innovation , History, 20th Century , History, 21st Century , Humans , Kidney Diseases/etiology , Kidney Diseases/therapy , Kidney Diseases/urine , Kidney Tubules/cytology , Kidney Tubules/pathology , Nephrology/history , Nephrology/methods , Pandemics , Podocytes/pathology , SARS-CoV-2/isolation & purification , SARS-CoV-2/pathogenicity , Societies, Medical , Urine/cytologyABSTRACT
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.
