Evidence map›Paper›PMID 27076988›Full record

ArticleJournal of pathology informatics2016

Comparison of the diagnostic utility of digital pathology systems for telemicrobiology.

Daniel D Rhoads, Nadia F Habib-Bein, Rahman S Hariri, Douglas J Hartman, Sara E Monaco, Andrew Lesniak, Jon Duboy, Mohamed El-Sayed Salama, Liron Pantanowitz

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Diagnosis of Human Trematode Infections.Advances in experimental medicine and biology · 2024
    Review
  2. Article
  3. Article
  4. Validation of a digital pathology system including remote review during the COVID-19 pandemic.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Article
  5. 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

9 authors.

Daniel D RhoadsDepartment of Laboratory Medicine, Cleveland Clinic, Cleveland, OH, USA.
Nadia F Habib-BeinDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, PA, USA.
Rahman S HaririDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Douglas J HartmanDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Sara E MonacoDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Andrew LesniakDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Jon DuboyDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.
Mohamed El-Sayed SalamaDepartment of Pathology, ARUP Laboratories, University of Utah, Salt Lake City, Utah, USA.
Liron PantanowitzDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15232, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTelemicrobiology is a growing component of clinical microbiology informatics. However, few studies have been performed to assess the diagnostic utility of telemicroscopy systems in evaluating infectious agents.

objectiveEvaluate multiple contemporary digital pathology platforms for use in diagnostic telemicrobiology. MATERIALS AND

methodsA mix of thirty cases that included viral, bacterial, fungal, and parasitological findings were evaluated by four experts using ×40 whole slide imaging (WSI) scans, ×83 oil-immersion WSI scans, ×100 oil-immersion WSI scans, digital photomicrographs, and glass slides.

resultsThe ×83 WSI, ×100 WSI, and photomicrograph interpretations were not significantly different in quality and accuracy when compared to glass slide interpretations. The ×40 WSI interpretations were of lower quality and were more likely to be incorrect when compared to glass slide interpretations.

conclusionsIn this study, high magnification, oil-immersion digital pathology platforms are better suited to support telemicrobiology applications and yield interpretations on par with glass slide evaluations.

Indexed as

Digital pathologyinfectious diseasesmicrobiologytelemicrobiologytelemicroscopywhole slide imaging

Identifiers

PMID27076988
PMCPMC4809116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.