Evidence map›Paper›PMID 20584089›Full record

ArticleHistopathology2010

Image analysis as an adjunct to manual HER-2 immunohistochemical review: a diagnostic tool to standardize interpretation.

Lynne Dobson, Catherine Conway, Alan Hanley, Alex Johnson, Sean Costello, Anthony O'Grady, Yvonne Connolly, Hilary Magee, Daniel O'Shea, Michael Jeffers and 1 more

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Histopathology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Lynne DobsonSlidePath Ltd., Swift Square, Northwood Business Park, Santry, Dublin 9, Ireland. lynne.dobson@slidepath.com
Catherine Conway
Alan Hanley
Alex Johnson
Sean Costello
Anthony O'Grady
Yvonne Connolly
Hilary Magee
Daniel O'Shea
Michael Jeffers
Elaine Kay
Tallaght University Hospital · IERoyal College of Surgeons of England · GBDublin Business School · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAccurate determination of HER-2 status is critical to identify patients for whom trastuzumab treatment will be of benefit. Although the recommended primary method of evaluation is immunohistochemistry, numerous reports of variability in interpretation have raised uncertainty about the reliability of results. Recent guidelines have suggested that image analysis could be an effective tool for achieving consistent interpretation, and this study aimed to assess whether this technology has potential as a diagnostic support tool. METHODS AND

resultsAcross a cohort of 275 cases, image analysis could accurately classify HER-2 status, with 91% agreement between computer-aided classification and the pathology review. Assessment of the continuity of membranous immunoreactivity in addition to intensity of reactivity was critical to distinguish between negative and equivocal cases and enabled image analysis to report a lower referral rate of cases for confirmatory fluorescence in situ hybridization (FISH) testing. An excellent concordance rate of 95% was observed between FISH and the automated review across 136 informative cases.

conclusionsThis study has validated that image analysis can robustly and accurately evaluate HER-2 status in immunohistochemically stained tissue. Based on these findings, image analysis has great potential as a diagnostic support tool for pathologists and biomedical scientists, and may significantly improve the standardization of HER-2 testing by providing a quantitative reference method for interpretation.

Indexed as

AlgorithmsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsCohort StudiesDiagnosis, Computer-AssistedErb-b2 Receptor Tyrosine KinasesFemaleGenes, erbB-2HumansImage Processing, Computer-AssistedImmunohistochemistryIn Situ Hybridization, FluorescenceTrastuzumabAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesTrastuzumab

Identifiers

PMID20584089
PMCPMC2916223
OpenAlexW2126974525

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.