Evidence map›Paper›PMID 35204617›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities.

Diana Montezuma, Ana Monteiro, João Fraga, Liliana Ribeiro, Sofia Gonçalves, André Tavares, João Monteiro, Isabel Macedo-Pinto

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

8 authors.

Diana MontezumaIMP Diagnostics, Edifício Trade Center do Bom Sucesso, 61, Sala 809, 4150-146 Porto, Portugal.
Ana MonteiroIMP Diagnostics, Edifício Trade Center do Bom Sucesso, 61, Sala 809, 4150-146 Porto, Portugal.
João FragaDepartment of Pathology, Portuguese Oncology Institute of Porto (IPO Porto), R. Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal.
Liliana RibeiroIMP Diagnostics, Edifício Trade Center do Bom Sucesso, 61, Sala 809, 4150-146 Porto, Portugal.
Sofia GonçalvesIMP Diagnostics, Edifício Trade Center do Bom Sucesso, 61, Sala 809, 4150-146 Porto, Portugal.
André TavaresIMP Diagnostics, Edifício Trade Center do Bom Sucesso, 61, Sala 809, 4150-146 Porto, Portugal.
João MonteiroIMP Diagnostics, Edifício Trade Center do Bom Sucesso, 61, Sala 809, 4150-146 Porto, Portugal.
Isabel Macedo-PintoIMP Diagnostics, Edifício Trade Center do Bom Sucesso, 61, Sala 809, 4150-146 Porto, Portugal.

Funding

European Regional Development Fund through the Operational Programme for Competitiveness and Internationalization - COMPETE 2020 Programme POCI-01-0247-FEDER-045413
6 · The paper itself

Abstract

Digital pathology (DP) is being deployed in many pathology laboratories, but most reported experiences refer to public health facilities. In this paper, we report our experience in DP transition at a high-volume private laboratory, addressing the main challenges in DP implementation in a private practice setting and how to overcome these issues. We started our implementation in 2020 and we are currently scanning 100% of our histology cases. Pre-existing sample tracking infrastructure facilitated this process. We are currently using two high-capacity scanners (Aperio GT450DX) to digitize all histology slides at 40×. Aperio eSlide Manager WebViewer viewing software is bidirectionally linked with the laboratory information system. Scanning error rate, during the test phase, was 2.1% (errors detected by the scanners) and 3.5% (manual quality control). Pre-scanning phase optimizations and vendor feedback and collaboration were crucial to improve WSI quality and are ongoing processes. Regarding pathologists' validation, we followed the Royal College of Pathologists recommendations for DP implementation (adapted to our practice). Although private sector implementation of DP is not without its challenges, it will ultimately benefit from DP safety and quality-associated features. Furthermore, DP deployment lays the foundation for artificial intelligence tools integration, which will ultimately contribute to improving patient care.

Indexed as

artificial intelligencedigital pathologyLISroutine diagnosisWSI

Identifiers

PMID35204617
PMCPMC8871027

What OpenQuestion 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 OpenQuestion graph.