Evidence map›Paper›PMID 29258335›Full record

ReviewJournal of drug targeting

Targeting of microbubbles: contrast agents for ultrasound molecular imaging.

Shiying Wang, John A Hossack, Alexander L Klibanov

Abstract readReview
In one paragraph

Review in Journal of drug targeting. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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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

3 authors.

Shiying Wanga Department of Biomedical Engineering , University of Virginia , Charlottesville , VA , USA.
John A Hossacka Department of Biomedical Engineering , University of Virginia , Charlottesville , VA , USA.
Alexander L Klibanova Department of Biomedical Engineering , University of Virginia , Charlottesville , VA , USA.

Funding

Ultrasound-triggered red blood cell drug delivery with photoacoustic trackingR01EB023055 · NIBIB · UNIVERSITY OF VIRGINIA · PI KLIBANOV, ALEXANDER L · 2017 to 2020
$2.3M
NIBIB NIH HHS R01 EB023055
6 · The paper itself

Abstract

For contrast ultrasound imaging, the most efficient contrast agents comprise highly compressible gas-filled microbubbles. These micrometer-sized particles are typically filled with low-solubility perfluorocarbon gases, and coated with a thin shell, often a lipid monolayer. These particles circulate in the bloodstream for several minutes; they demonstrate good safety and are already in widespread clinical use as blood pool agents with very low dosage necessary (sub-mg per injection). As ultrasound is an ubiquitous medical imaging modality, with tens of millions of exams conducted annually, its use for molecular/targeted imaging of biomarkers of disease may enable wider implementation of personalised medicine applications, precision medicine, non-invasive quantification of biomarkers, targeted guidance of biopsy and therapy in real time. To achieve this capability, microbubbles are decorated with targeting ligands, possessing specific affinity towards vascular biomarkers of disease, such as tumour neovasculature or areas of inflammation, ischaemia-reperfusion injury or ischaemic memory. Once bound to the target, microbubbles can be selectively visualised to delineate disease location by ultrasound imaging. This review discusses the general design trends and approaches for such molecular ultrasound imaging agents, which are currently at the advanced stages of development, and are evolving towards widespread clinical trials.

Indexed as

MicrobubblesAnimalsContrast MediaHumansLipidsMolecular ImagingParticle SizeUltrasonographyContrast MediaLipidsimagingmicrobubble contrast agentsMicrobubblesmolecular imagingtargeted imagingtargeting

Identifiers

PMID29258335
PMCPMC6319889

What OpenQuestion holds

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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.