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Diagnostic concordance between traditional and digital workflows. A study on 1427 prostate biopsies.

Authors :
Torresani E
Gentilini MA
Grassi S
Cima L
Pedrolli I
Cai T
Puglisi M
Vattovani V
Guadin B
Brunelli M
Doglioni C
Barbareschi M
Source :
Pathologica [Pathologica] 2023 Aug; Vol. 115 (4), pp. 221-226.
Publication Year :
2023

Abstract

Objective: To evaluate intra-observer diagnostic reproducibility using traditional slides (TS) versus whole slide images (WSI).<br />Methods: TS and WSI of 1427 prostatic biopsies (107 consecutive patients) were evaluated by a single pathologist. Agreement between readings was evaluated with Gwet's Agreement coefficient (AC) and Landis and Koch benchmark scale.<br />Results: The positive/negative agreement between the readings was almost perfect (AC <subscript>1</subscript> = 0.962; 95% CI[0.949,0.974]), with method independent distribution of discrepancies. Among positive biopsies, 212 had identical Gleason score (GS) on TS and WSI and discordant GS in 69 cases (AC <subscript>2</subscript>  = 0.932; 95% CI[0.907, 0.956]). Concordant negative and positive patient classification was observed in 39 and 64 cases, respectively; two cases were assigned to the positive group on TS and 2 on WSI configuring an almost perfect agreement (AC <subscript>1</subscript> =0.929; 95% C1[0.860, 0.998]). ISUP Grade group (ISUP GG) agreement was evaluated in the 60 concordantly positive cases: in 45 cases it was identical on TS and WSI; in 10 biopsies the discrepancy implied a modification of the assigned ISUP GG of ≤ 1 class and in 5 the discrepancy implied a modification of 2 classes. Gwet's agreement coefficient was (95% CI [0.834, 0.962]), i.e.: almost perfect agreement.<br />Conclusions: Our data show almost perfect agreement between digital and traditional diagnostic activity in a routine setting, confirming that digital pathology can be safely introduced into routine workflows.<br /> (Copyright © 2023 Società Italiana di Anatomia Patologica e Citopatologia Diagnostica, Divisione Italiana della International Academy of Pathology.)

Details

Language :
English
ISSN :
1591-951X
Volume :
115
Issue :
4
Database :
MEDLINE
Journal :
Pathologica
Publication Type :
Academic Journal
Accession number :
37711038
Full Text :
https://doi.org/10.32074/1591-951X-896