Evidence map›Paper›PMID 22476707›Full record

ArticleDer Radiologe2012

[Dynamic contrast-enhanced computed tomography. Tracer kinetics and radiation hygienic principles].

G Brix, J Griebel, S Delorme

Abstract readEnglish Abstract
PubMed Publisher
In one paragraph

Article in Der Radiologe, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer.Journal of pharmacokinetics and pharmacodynamics · 2013
    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

3 authors.

G BrixAbteilung für Medizinischen und Beruflichen Strahlenschutz, Fachbereich Strahlenschutz und Gesundheit, Bundesamt für Strahlenschutz, Ingolstädter Landstr. 1, 85764 Neuherberg. gbrix@bfs.de
J Griebel
S Delorme

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technical innovations in multislice computed tomography (CT) allow for larger volume coverage in ever shorter scan times. This progress has stimulated the clinical application of dynamic contrast-enhanced (DCE) CT techniques, which offer the possibility to noninvasively characterize tissue microcirculation in terms of well-defined physiological quantities. This educational review imparts to radiologists the essential physiological terms and definitions as well as the basic tracer kinetic concepts required for the analysis of DCE-CT data. In particular, four different approaches are presented and exemplified by the analysis of representative DCE data: the steepest-gradient method, model-free algebraic deconvolution in combination with the indicator-dilution theory, two-compartment modelling and the so-called adiabatic approximation to the homogeneity model. Even though DCE-CT offers substantial methodological and practical advantages as compared to DCE-MRI (magnetic resonance imaging), there are also two serious and interconnected shortcomings: the low contrast enhancement in relation to the noise level and the high exposure of patients to ionizing radiation. These limiting aspects are considered in detail from a radiation hygienic point of view, emphasizing the basic principles of justification and optimization. Clinically established as well as potential future applications of DCE-CT will be presented in a subsequent paper.

Indexed as

AlgorithmsModels, BiologicalComputer SimulationContrast MediaHumansHygieneImage EnhancementImage Interpretation, Computer-AssistedKineticsReproducibility of ResultsSensitivity and SpecificityTomography, X-Ray ComputedContrast Media

Identifiers

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Registered trials

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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.