Evidence map›Paper›PMID 22447914›Full record

ArticleJournal of clinical pathology2012

Utility of multispectral imaging in automated quantitative scoring of immunohistochemistry.

Christopher Fiore, Dyane Bailey, Niamh Conlon, Xiaoqiu Wu, Neil Martin, Michelangelo Fiorentino, Stephen Finn, Katja Fall, Swen-Olof Andersson, Ove Andren and 2 more

Abstract read
In one paragraph

Article in Journal of clinical pathology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  10. CD30Cancer immunology, immunotherapy : CII · 2021
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  14. Review
  15. Review
  16. Article
  17. The role of Ki-67 in Asian triple negative breast cancers: a novel combinatory panel approach.Virchows Archiv : an international journal of pathology · 2019
    Article
  18. Article
  19. Article
  20. Principles and approaches for reproducible scoring of tissue stains in research.Laboratory investigation; a journal of technical methods and pathology · 2018
    Review
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

12 authors.

Christopher FioreCenter for Molecular Oncologic Pathology, Dana Farber Cancer Institute, Boston, Massachusetts, USA.
Dyane Bailey
Niamh Conlon
Xiaoqiu Wu
Neil Martin
Michelangelo Fiorentino
Stephen Finn
Katja Fall
Swen-Olof Andersson
Ove Andren
Massimo Loda
Richard Flavin

Funding

Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI LODA, MASSIMO · 2002 to 2017
$36.2M
Transgenic Mouse CoreP01CA089021 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SELLERS, WILLIAM R · 2001 to 2011
$20.1M
Molecular Link Between Metabolic Syndrome and Prostate CancerR01CA131945 · NCI · DANA-FARBER CANCER INST · PI LODA, MASSIMO · 2008 to 2018
$4.0M
NCI NIH HHS P01 CA089021NCI NIH HHS P01CA89021NCI NIH HHS P50 CA090381NCI NIH HHS P50 CA90381NCI NIH HHS R01 CA131945NCI NIH HHS R01CA131945
6 · The paper itself

Abstract

backgroundAutomated scanning devices and image analysis software provide a means to overcome the limitations of manual semiquantitative scoring of immunohistochemistry. Common drawbacks to automated imaging systems include an inability to classify tissue type and an inability to segregate cytoplasmic and nuclear staining.

methodsImmunohistochemistry for the membranous marker α-catenin, the cytoplasmic marker stathmin and the nuclear marker Ki-67 was performed on tissue microarrays (TMA) of archival formalin-fixed paraffin-embedded tissue comprising 471 (α-catenin and stathmin) and 511 (Ki-67) cases of prostate adenocarcinoma. These TMA were quantitatively analysed using two commercially available automated image analysers, the Ariol SL-50 system and the Nuance system from CRi. Both systems use brightfield microscopy for automated, unbiased and standardised quantification of immunohistochemistry, while the Nuance system has spectral deconvolution capabilities.

resultsOverall concordance between scores from both systems was excellent (r=0.90; 0.83-0.95). The software associated with the multispectral imager allowed accurate automated classification of tissue type into epithelial glandular structures and stroma, and a single-step segmentation of staining into cytoplasmic or nuclear compartments allowing independent evaluation of these areas. The Nuance system, however, was not able to distinguish reliably between tumour and non-tumour tissue. In addition, variance in the labour and time required for analysis between the two systems was also noted.

conclusionDespite limitations, this study suggests some beneficial role for the use of a multispectral imaging system in automated analysis of immunohistochemistry.

Indexed as

Image Processing, Computer-AssistedAdenocarcinomaAgedAged, 80 and overalpha CateninBiomarkers, TumorCell MembraneCell NucleusCytoplasmHumansImmunohistochemistryKi-67 AntigenMaleMiddle AgedProstatic NeoplasmsReproducibility of Resultsalpha CateninBiomarkers, TumorKi-67 AntigenStathminSTMN1 protein, human

Identifiers

PMID22447914
PMCPMC3437674

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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.