Evidence map›Paper›PMID 24053788›Full record

ArticleDiagnostic pathology2013

A novel approach for quantitative assessment of mucosal damage in inflammatory bowel disease.

Ismail I Matalka, Faruq A Al-Omari, Rola M Salama, Alia H Mohtaseb

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Diagnostic pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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  12. Interaction between STAT3 gene polymorphisms and smoking on Crohn's disease susceptibility: a case-control study in a Chinese Han population.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2016
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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

4 authors at 2 institutions in 1 country.

Ismail I MatalkaComputer Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid 21163, Jordan. fomari@junet.edu.jo.
Faruq A Al-Omari
Rola M Salama
Alia H Mohtaseb
Jordan University of Science and Technology · JOYarmouk University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsOne of the main reliable histological features to suggest the diagnosis of inflammatory bowel disease is the presence of significant distortion of the crypt architecture indicating the chronic nature of the disease resulting in mucosal damage. This feature has a considerable intra-observer and inter-observer variability leading to significant subjectivity in colonic biopsy assessment. In this paper, we present a novel automated system to assess mucosal damage and architectural distortion in inflammatory bowel disease (IBD).

methodsThe proposed system relies on advanced image understating and processing techniques to segment digitally acquired images of microscopic biopsies, then, to extract key features to quantify the crypts irregularities in shape and distribution. These features were used as inputs to an artificial intelligent classifier that, after a training phase, can carry out the assessment automatically.

resultsThe developed system was evaluated using 118 IBD biopsies. 116 out of 118 biopsies were correctly classified as compared to the consensus of three expert pathologists, achieving an overall precision of 98.31%.

conclusionsAn automated intelligent system to quantitatively assess inflammatory bowel disease was developed. The proposed system utilized advanced image understanding techniques together with an intelligent classifier to conduct the assessment. The developed system proved to be reliable, robust, and minimizes subjectivity and inter- and intra-observer variability. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1797721309305023.

Indexed as

Image Interpretation, Computer-AssistedMicroscopyArtificial IntelligenceAutomation, LaboratoryBiopsyColonHumansInflammatory Bowel DiseasesIntestinal MucosaObserver VariationPredictive Value of TestsPrognosisReproducibility of ResultsSeverity of Illness Index

Identifiers

PMID24053788
PMCPMC3852335
OpenAlexW2152701667

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.