Evidence map›Paper›PMID 26237272›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2015

Whole slide image cytometry: a novel method to detect abnormal DNA content in Barrett's esophagus.

Yinhai Wang, Damian T McManus, Kenneth Arthur, Brian T Johnston, Andrew J Kennedy, Helen G Coleman, Liam J Murray, Peter W Hamilton

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Quantitation of spatial and temporal variability of biomarkers for Barrett's Esophagus.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2017
    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

8 authors at 3 institutions in 2 countries.

Yinhai WangFinland Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland.
Damian T McManusBelfast HSC Trust, Belfast, UK.
Kenneth ArthurCentre for Cancer Research and Cell Biology (CCRCB), Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0003-3045-4639
Brian T JohnstonBelfast HSC Trust, Belfast, UK.
Andrew J KennedyBelfast HSC Trust, Belfast, UK.
Helen G ColemanCentre for Public Health, Queen's University Belfast, Belfast, UK.
Liam J MurrayCentre for Public Health, Queen's University Belfast, Belfast, UK.
Peter W HamiltonCentre for Cancer Research and Cell Biology (CCRCB), Queen's University Belfast, Belfast, UK.
Queen's University Belfast · GBBelfast Health and Social Care Trust · GBUniversity of Helsinki · FI

Funding

Cancer Research UK 15333Medical Research Council MR/K023241/1
6 · The paper itself

Abstract

Barrett's esophagus (BE) is a precursor of esophageal adenocarcinoma (EAC). Both low-grade dysplasia (LGD) and high-grade dysplasia (HGD) are associated with an increased risk of progression to EAC. However, histological interpretation and grading of dysplasia (particularly LGD) is subjective and poorly reproducible. This study has combined whole slide imaging with DNA image cytometry to provide a novel method for the detection of abnormal DNA content through image analysis of tissue sections. A total of 20 cases were evaluated, including 8 negative for dysplasia (NFD), 6 LGD, and 6 HGD. Feulgen-stained esophageal sections were scanned in their entirety. Barrett's mucosa was interactively chosen for automatic nuclei segmentation where irrelevant cell types were ignored. The combined DNA content histogram for all nuclei within selected image regions was then obtained. In addition, three histogram measurements were computed, including xER-5C, 2cDI, and DNA-MG. Visual evaluation suggested the shape of DNA content histograms from NFD, LGD, and HGD cases exhibiting identifiable differences. The histogram measurements, xER-5C, 2cDI, and DNA-MG, were shown to be effective in differentiating metaplastic from dysplastic cases with statistical significance. Moreover, they also successfully separated NFD, LGD, and HGD patients with statistical significance. Whole slide image cytometry is a novel and effective method for the detection of abnormal DNA content in BE. Compared with histological review, it is more objective. Compared with flow cytometry and cytology-preparation image cytometry, it is low cost, simple to use, only requires a single 1 μm section, and facilitates selection of tissue and topographical correlation. Whole slide image cytometry can detect differences in DNA content between NFD, LGD, and HGD patients in this cross-sectional study. Abnormal DNA content detection by whole slide image cytometry is a promising biomarker of progression that could affect future diagnostics in BE.

Indexed as

Barrett EsophagusDNAHumansReproducibility of ResultsDNA

Identifiers

PMID26237272
OpenAlexW1530662625

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.