Evidence map›Paper›PMID 31453614›Full record

ArticleNanoscale2019

Gas-generating nanoparticles for contrast-enhanced ultrasound imaging.

In-Cheol Sun, Stanislav Emelianov

Abstract read
In one paragraph

Article in Nanoscale, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

2 authors.

In-Cheol SunSchool of Electrical and Computer Engineering and Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, 777 Atlantic Drive, Atlanta, GA 30332, USA. stas@gatech.edu.ORCID http://orcid.org/0000-0003-1195-0872
Stanislav EmelianovSchool of Electrical and Computer Engineering and Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, 777 Atlantic Drive, Atlanta, GA 30332, USA. stas@gatech.edu.ORCID http://orcid.org/0000-0002-7098-133X

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI POWERS, ROBERT · 2016 to 2025
$20.8M
Acoustic Imaging of Sentinel Node Metastasis using Plasmonic NanosensorsR01EB008101 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y, SOKOLOV, KONSTANTIN V · 2007 to 2015
$3.6M
Functional, cellular, and molecular imaging and therapy monitoring using ultrasouR01CA158598 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y, ESTEVA, FRANCISCO J · 2012 to 2018
$2.8M
Molecular photothermal therapy of cancer using targeted metal nanoparticlesR01CA149740 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y · 2010 to 2014
$1.6M
NCI NIH HHS R01 CA149740NCI NIH HHS R01 CA158598NIBIB NIH HHS R01 EB008101NIGMS NIH HHS P20 GM113126
6 · The paper itself

Abstract

We present gas-generating solid nanoparticles as a new concept of an ultrasound contrast agent. The developed nanoparticles are sufficiently small (less than 100 nm in diameter) to escape vasculature and yet, upon external pulsed laser light activation, release nitrogen gas for enhanced contrast in ultrasound imaging. The gas-generating nanoconstructs combine the photocatalytic function of gold nanoparticles and photolysis of azide compounds. Using ultrasound imaging, we demonstrate the controlled, on-demand generation of nitrogen gas from nanoparticles due to the decomposition of azide groups triggered by pulsed laser irradiation. The resulting gas forms bubbles that cause backscattered ultrasound signals and, therefore, modulate the contrast in ultrasound imaging.

Identifiers

PMID31453614
PMCPMC6759366

What OpenQuestion holds

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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.