Evidence map›Paper›PMID 28116576›Full record

ArticleJournal of digital imaging2017

Enterprise Implementation of Digital Pathology: Feasibility, Challenges, and Opportunities.

D J Hartman, L Pantanowitz, J S McHugh, A L Piccoli, M J OLeary, G R Lauro

Abstract read
In one paragraph

Article in Journal of digital imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  15. [Digital Pathology: Current Status and Prospects of Clinical Application].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021
    Review
  16. Article
  17. Article
  18. Review
  19. A cross-platform informatics system for the Gut Cell Atlas: integrating clinical, anatomical and histological data.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  20. 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

6 authors.

D J HartmanDepartment of Pathology, Division of Pathology Informatics, University of Pittsburgh Medical Center, Presbyterian Hospital, A610, 200 Lothrop Street, Pittsburgh, PA, 15213-2546, USA. hartmandj@upmc.edu.
L PantanowitzDepartment of Pathology, Division of Pathology Informatics, University of Pittsburgh Medical Center, Presbyterian Hospital, A610, 200 Lothrop Street, Pittsburgh, PA, 15213-2546, USA.
J S McHughClinical Department Systems, University of Pittsburgh Medical Center, Pittsburgh, 15213, PA, USA.
A L PiccoliClinical Department Systems, University of Pittsburgh Medical Center, Pittsburgh, 15213, PA, USA.
M J OLearyClinical Department Systems, University of Pittsburgh Medical Center, Pittsburgh, 15213, PA, USA.
G R LauroClinical Department Systems, University of Pittsburgh Medical Center, Pittsburgh, 15213, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital pathology is becoming technically possible to implement for routine pathology work. At our institution, we have been using digital pathology for second opinion intraoperative consultations for over 10 years. Herein, we describe our experience in converting to a digital pathology platform for primary pathology diagnosis. We implemented an incremental rollout for digital pathology on subspecialty benches, beginning with cases that contained small amounts of tissue (biopsy specimens). We successfully scanned over 40,000 slides through our digital pathology system. Several lessons (both challenges and opportunities) were learned through this implementation. A successful conversion to digital pathology requires pre-imaging adjustments, integrated software and post-imaging evaluations.

Indexed as

Radiology Information SystemsDiagnostic ImagingFeasibility StudiesHumansImage Processing, Computer-AssistedPathology, ClinicalTelepathologyDiagnostic imagingDigital imagingDigital pathologyExperientialImaging informaticsImplementationWhole slide imaging

Identifiers

PMID28116576
PMCPMC5603431

What OpenQuestion holds

Textmetadata
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.