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

Publication

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

Journal Paper/Review - Dec 19, 2023

Janowczyk Andrew, Zlobec Inti, Walker Cedric, Berezowska Sabina, Huschauer Viola, Tinguely Marianne, Kupferschmid Joel, Mallet Thomas, Merkler Doron, Kreutzfeldt Mario, Gasic Radivoje, Rau Tilman, Mazzucchelli Luca, Eyberg Isgard, Cathomas Gieri, Mertz Kirsten D, Koelzer Viktor H, Soldini Davide, Jochum Wolfram, Rössle Matthias, Henkel Maurice, Grobholz Rainer, Swiss Digital Pathology Consortium

Citation

Janowczyk A, Zlobec I, Walker C, Berezowska S, Huschauer V, Tinguely M, Kupferschmid J, Mallet T, Merkler D, Kreutzfeldt M, Gasic R, Rau T, Mazzucchelli L, Eyberg I, Cathomas G, Mertz K, Koelzer V, Soldini D, Jochum W, Rössle M, Henkel M, Grobholz R, Swiss Digital Pathology Consortium. Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology. Virchows Arch 2023

Type

Journal Paper/Review (English)

Journal

Virchows Arch 2023

Publication Date

Dec 19, 2023

Issn Electronic

1432-2307

Brief description/objective

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.