Evidence map›Paper›PMID 27994941›Full record

ArticleJournal of pathology informatics2016

A multisite validation of whole slide imaging for primary diagnosis using standardized data collection and analysis.

Katy Wack, Laura Drogowski, Murray Treloar, Andrew Evans, Jonhan Ho, Anil Parwani, Michael C Montalto

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Katy WackWestern Oncolytics, LLC, Pittsburgh, PA 15238, USA; Work peformed while at Omnyx, LLC. Pittsburgh, PA 15222, USA.
Laura DrogowskiWork peformed while at Omnyx, LLC. Pittsburgh, PA 15222, USA.
Murray TreloarDynacare, Bowmanville, Ontario L1C 3K5, Canada.
Andrew EvansUniversity Health Network, Toronto General Hospital, Toronto, Ontario M5G 2C4, Canada.
Jonhan HoDepartment of Dermatology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Anil ParwaniThe Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Michael C MontaltoWork peformed while at Omnyx, LLC. Pittsburgh, PA 15222, USA; Department of Translational Medicine, Bristol-Myers Squibb, etc. Princeton, NJ 08543, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextText-based reporting and manual arbitration for whole slide imaging (WSI) validation studies are labor intensive and do not allow for consistent, scalable, and repeatable data collection or analysis.

objectiveThe objective of this study was to establish a method of data capture and analysis using standardized codified checklists and predetermined synoptic discordance tables and to use these methods in a pilot multisite validation study. METHODS AND STUDY

designFifteen case report form checklists were generated from the College of American Pathology cancer protocols. Prior to data collection, all hypothetical pairwise comparisons were generated, and a level of harm was determined for each possible discordance. Four sites with four pathologists each generated 264 independent reads of 33 cases. Preestablished discordance tables were applied to determine site by site and pooled accuracy, intrareader/intramodality, and interreader intramodality error rates.

resultsOver 10,000 hypothetical pairwise comparisons were evaluated and assigned harm in discordance tables. The average difference in error rates between WSI and glass, as compared to ground truth, was 0.75% with a lower bound of 3.23% (95% confidence interval). Major discordances occurred on challenging cases, regardless of modality. The average inter-reader agreement across sites for glass was 76.5% (weighted kappa of 0.68) and for digital it was 79.1% (weighted kappa of 0.72).

conclusionThese results demonstrate the feasibility and utility of employing standardized synoptic checklists and predetermined discordance tables to gather consistent, comprehensive diagnostic data for WSI validation studies. This method of data capture and analysis can be applied in large-scale multisite WSI validations.

Indexed as

Digital pathologydiscordancevalidationwhole slide image

Identifiers

PMID27994941
PMCPMC5139454

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.