Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology.

Autor: Janowczyk A; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, USA. Andrew.r.janowczyk@emory.edu.; Department of Oncology, Division of Precision Oncology, Geneva University Hospitals, Geneva, Switzerland. Andrew.r.janowczyk@emory.edu.; Department of Diagnostics, Division of Clinical Pathology, Geneva University Hospitals, Geneva, Switzerland. Andrew.r.janowczyk@emory.edu., Zlobec I; Institute for Tissue Medicine and Pathology, University of Bern, Bern, Switzerland., Walker C; Institute of Animal Pathology, Vetsuisse Faculty, University of Bern, Bern, Switzerland., Berezowska S; Institute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Huschauer V; Institute of Pathology Enge, Zurich, Switzerland., Tinguely M; Institute of Pathology Enge, Zurich, Switzerland.; Medical Faculty, University of Zürich, Zurich, Switzerland., Kupferschmid J; Basys Data GmbH, Basel, Switzerland., Mallet T; Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland., Merkler D; Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland.; Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland., Kreutzfeldt M; Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland.; Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland., Gasic R; Cantonal Hospital Aarau, Aarau, Switzerland., Rau TT; Institute of Pathology, University Hospital and Heinrich-Heine University, Düsseldorf, Germany.; Institute of Pathology, University of Bern, Bern, Switzerland., Mazzucchelli L; Istituto Cantonale Di Patologia EOC, Locarno, Switzerland., Eyberg I; Institute of Pathology, Cantonal Hospital Aarau, Aarau, Switzerland., Cathomas G; Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland., Mertz KD; Institute of Pathology, Cantonal Hospital Baselland, Liestal, Switzerland., Koelzer VH; Department of Pathology and Molecular Pathology, University and University Hospital of Zürich, Zurich, Switzerland., Soldini D; Pathologie Zentrum Zürich Medica, Zurich, Switzerland., Jochum W; Institute of Pathology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland., Rössle M; Pathologie Luzerner Kantonsspital (Pathology Cantonal Hospital Lucerne), Spitalstrasse, Switzerland., Henkel M; Research & Analytic Services University Hospital Basel, Basel, Switzerland.; Institute of Radiology, University Hospital Basel, Basel, Switzerland.; University of Basel, Basel, Switzerland., Grobholz R; Medical Faculty, University of Zürich, Zurich, Switzerland.; Institute of Pathology, Cantonal Hospital Aarau, Aarau, Switzerland.
Jazyk: angličtina
Zdroj: Virchows Archiv : an international journal of pathology [Virchows Arch] 2024 Jul; Vol. 485 (1), pp. 13-30. Date of Electronic Publication: 2023 Dec 19.
DOI: 10.1007/s00428-023-03712-5
Abstrakt: Integration of digital pathology (DP) into clinical diagnostic workflows is increasingly receiving attention as new hardware and software become available. To facilitate the adoption of DP, the Swiss Digital Pathology Consortium (SDiPath) organized a Delphi process to produce a series of recommendations for DP integration within Swiss clinical environments. This process saw the creation of 4 working groups, focusing on the various components of a DP system (1) scanners, quality assurance and validation of scans, (2) integration of Whole Slide Image (WSI)-scanners and DP systems into the Pathology Laboratory Information System, (3) digital workflow-compliance with general quality guidelines, and (4) image analysis (IA)/artificial intelligence (AI), with topic experts for each recruited for discussion and statement generation. The work product of the Delphi process is 83 consensus statements presented here, forming the basis for "SDiPath Recommendations for Digital Pathology". They represent an up-to-date resource for national and international hospitals, researchers, device manufacturers, algorithm developers, and all supporting fields, with the intent of providing expectations and best practices to help ensure safe and efficient DP usage.
(© 2023. The Author(s).)
Databáze: MEDLINE
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