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

Authors :
Janowczyk, Andrew
Zlobec, Inti
Walker, Cedric
Berezowska, Sabina
Huschauer, Viola
Tinguely, Marianne
Kupferschmid, Joel
Mallet, Thomas
Merkler, Doron
Kreutzfeldt, Mario
Gasic, Radivoje
Rau, Tilman T.
Mazzucchelli, Luca
Eyberg, Isgard
Cathomas, Gieri
Mertz, Kirsten D.
Koelzer, Viktor H.
Soldini, Davide
Jochum, Wolfram
Rössle, Matthias
Source :
Virchows Archiv: European Journal of Pathology; Jul2024, Vol. 485 Issue 1, p13-30, 18p
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09456317
Volume :
485
Issue :
1
Database :
Complementary Index
Journal :
Virchows Archiv: European Journal of Pathology
Publication Type :
Academic Journal
Accession number :
178529389
Full Text :
https://doi.org/10.1007/s00428-023-03712-5