Evidence map›Paper›PMID 39964525›Full record

ReviewVirchows Archiv : an international journal of pathology2025

An equivalency and efficiency study for one year digital pathology for clinical routine diagnostics in an accredited tertiary academic center.

Viola Iwuajoku, Kübra Ekici, Anette Haas, Mohammed Zaid Khan, Azar Kazemi, Atsuko Kasajima, Claire Delbridge, Alexander Muckenhuber, Elisa Schmoeckel, Fabian Stögbauer and 5 more

Abstract readValidation StudyReview
In one paragraph

Review in Virchows Archiv : an international journal of pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Viola IwuajokuInstitute of Pathology, Technical University of Munich, Munich, Germany. viola.iwuajoku@tum.de.ORCID http://orcid.org/0009-0004-3339-2095
Kübra EkiciInstitute of Pathology, Technical University of Munich, Munich, Germany.
Anette HaasInstitute of Pathology, Technical University of Munich, Munich, Germany.
Mohammed Zaid KhanInstitute of Pathology, Technical University of Munich, Munich, Germany.
Azar KazemiInstitute of Pathology, Technical University of Munich, Munich, Germany.
Atsuko KasajimaInstitute of Pathology, Technical University of Munich, Munich, Germany.
Claire DelbridgeInstitute of Pathology, Technical University of Munich, Munich, Germany.
Alexander MuckenhuberInstitute of Pathology, Technical University of Munich, Munich, Germany.
Elisa SchmoeckelInstitute of Pathology, Technical University of Munich, Munich, Germany.
Fabian StögbauerInstitute of Pathology, Technical University of Munich, Munich, Germany.
Christine BollweinInstitute of Pathology, Technical University of Munich, Munich, Germany.
Kristina SchwambornInstitute of Pathology, Technical University of Munich, Munich, Germany.
Katja SteigerInstitute of Pathology, Technical University of Munich, Munich, Germany.
Carolin MoglerInstitute of Pathology, Technical University of Munich, Munich, Germany.
Peter J SchüfflerInstitute of Pathology, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital pathology is revolutionizing clinical diagnostics by offering enhanced efficiency, accuracy, and accessibility of pathological examinations. This study explores the implementation and validation of digital pathology in a large tertiary academic center, focusing on its gradual integration and transition into routine clinical diagnostics. In a comprehensive validation process over a 6-month period, we compared sign-out of digital and physical glass slides of a wide range of different tissue specimens and histopathological diagnoses. Key metrics such as diagnostic concordance and user satisfaction were assessed by involving the pathologists in a validation training and study phase. We measured turnaround times before and after transitioning to digital pathology to assess the impact on overall efficiency. Our results demonstrate a 99% concordance between the analog and digital reports while at the same time reducing the time to sign out a case by almost a minute, suggesting potential long-term efficiency gains. Our digital transition positively impacted our pathology workflow: Pathologists reported increased flexibility and satisfaction due to the ease of accessing and sharing digital slides. However, challenges were identified, including technical issues related to image quality and system integration. Lessons learned from this study emphasize the importance of robust training programs, adequate IT support, and ongoing evaluation to ensure successful integration. This validation study confirms that digital pathology is a viable and beneficial tool for accurate clinical routine diagnostics in large academic centers, offering insights for other institutions considering similar endeavors.

Indexed as

Image Interpretation, Computer-AssistedPathology, ClinicalTelepathologyAcademic Medical CentersHumansReproducibility of ResultsTertiary Care CentersWorkflowDigital pathologyDigital transitionEfficiencyValidation study

Identifiers

PMID39964525
PMCPMC12289765

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.