Evidence map›Paper›PMID 26438094›Full record

ReviewDer Radiologe2015

[Molecular ultrasound imaging: Clinical applications].

A Rix, M Palmowski, F Kiessling

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Radiologe, 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
–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

3 citing papers in PubMed.

  1. Review
  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

3 authors.

A RixInstitut für Experimentelle Molekulare Bildgebung, Pauwelsstrasse 30, 52074, Aachen, Deutschland.
M PalmowskiInstitut für Experimentelle Molekulare Bildgebung, Pauwelsstrasse 30, 52074, Aachen, Deutschland.
F KiesslingInstitut für Experimentelle Molekulare Bildgebung, Pauwelsstrasse 30, 52074, Aachen, Deutschland. fkiessling@ukaachen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContrast-enhanced ultrasound imaging is increasingly being used in clinical applications, particularly for cardiovascular and liver diagnostics. In this context the availability of new molecular contrast agents and the initiation of clinical translation promises new options for pathomechanistic diagnostics. MATERIAL AND

methodsAnalysis of the current literature on the development of molecular ultrasound contrast agents, the detection methods as well as the applications in preclinical and clinical studies.

resultsMolecular contrast agents have become established in preclinical research for the detection of inflammation and angiogenesis and have been continuously refined over recent years. They consist of gas filled microbubbles with a diameter of 1-5 µm and the gas core is stabilized by a shell made of lipids, proteins or polymers to which biomolecules are conjugated that determine the target specificity. The agent BR55 is the first clinically evaluated molecular ultrasound contrast agent. It binds to the angiogenesis marker vascular endothelial growth factor receptor 2 (VEGFR2) and has been studied in several preclinical and clinical phase I and II studies on tumor diagnostics and characterization.

conclusionMolecular ultrasound imaging is rapidly evolving in preclinical research for a broad field of applications. Translation to clinical practice is conceivable for many indications and is already ongoing for BR55.

Indexed as

Biomarkers, TumorContrast MediaHumansImage Interpretation, Computer-AssistedMolecular ImagingNeoplasmsReproducibility of ResultsSensitivity and SpecificityUltrasonographyBiomarkers, TumorContrast MediaAngiogenesisClinical applicationInflammationTranslationUltrasound contrast media

Identifiers

What OpenQuestion holds

Textmetadata
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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.