Evidence map›Paper›PMID 26838804›Full record

ArticleDiagnostics (Basel, Switzerland)2016

Interobserver and Intraobserver Reproducibility with Volume Dynamic Contrast Enhanced Computed Tomography (DCE-CT) in Gastroesophageal Junction Cancer.

Martin Lundsgaard Hansen, Eva Fallentin, Thomas Axelsen, Carsten Lauridsen, Rikke Norling, Lars Bo Svendsen, Michael Bachmann Nielsen

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 3 institutions in 1 country.

Martin Lundsgaard HansenDepartment of Radiology, University Hospital of Copenhagen, Rigshospitalet, DK-2100 Copenhagen, Denmark. mlundsgaard@dadlnet.dk.
Eva FallentinDepartment of Radiology, University Hospital of Copenhagen, Rigshospitalet, DK-2100 Copenhagen, Denmark. eva.fallentin@regionh.dk.
Thomas AxelsenDepartment of Radiology, University Hospital of Copenhagen, Rigshospitalet, DK-2100 Copenhagen, Denmark. thomas.axelsen@regionh.dk.
Carsten LauridsenDepartment of Radiology, University Hospital of Copenhagen, Rigshospitalet, DK-2100 Copenhagen, Denmark. carsten.lauridsen@regionh.dk.
Rikke NorlingDepartment of Radiology, University Hospital of Copenhagen, Rigshospitalet, DK-2100 Copenhagen, Denmark. rna@dadlnet.dk.
Lars Bo SvendsenDepartment of Surgery, University Hospital of Copenhagen, Rigshospitalet, DK-2100 Copenhagen, Denmark. lars.bo.svendsen@regionh.dk.
Michael Bachmann NielsenDepartment of Radiology, University Hospital of Copenhagen, Rigshospitalet, DK-2100 Copenhagen, Denmark. mbn@dadlnet.dk.
Rigshospitalet · DKMetropolitan University College · DKRoskilde Sygehus · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to assess inter- and intra-observer reproducibility of three different analytic methods to evaluate quantitative dynamic contrast-enhanced computed tomography (DCE-CT) measures from gastroesophageal junctional cancer. Twenty-five DCE-CT studies with gastroesophageal junction cancer were selected from a previous longitudinal study. Three radiologists independently reviewed all scans, and one repeated the analysis eight months later for intraobserver analysis. Review of the scans consisted of three analysis methods: (I) Four, fixed small sized regions of interest (2-dimensional (2D) fixed ROIs) placed in the tumor periphery, (II) 2-dimensional regions of interest (2D-ROI) along the tumor border in the tumor center, and (III) 3-dimensional volumes of interest (3D-VOI) containing the entire tumor volume. Arterial flow, blood volume and permeability (k(trans)) were recorded for each observation. Inter- and intra-observer variability were assessed by Intraclass Correlation Coefficient (ICC) and Bland-Altman statistics. Interobserver ICC was excellent for arterial flow (0.88), for blood volume (0.89) and for permeability (0.91) with 3D-VOI analysis. The 95% limits of agreement were narrower for 3D analysis compared to 2D analysis. Three-dimensional volume DCE-CT analysis of gastroesophageal junction cancer provides higher inter- and intra-observer reproducibility with narrower limits of agreement between readers compared to 2D analysis.

Indexed as

CT perfusiondynamic contrast enhanced computed tomographygastroesophageal cancerimaging biomarkersreproducibility

Identifiers

PMID26838804
PMCPMC4808823
OpenAlexW2258071167

What OpenQuestion holds

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LicenceCC BY
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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.