Evidence map›Paper›PMID 28686673›Full record

ArticlePloS one2017

Focal areas of increased lipid concentration on the coating of microbubbles during short tone-burst ultrasound insonification.

Klazina Kooiman, Tom van Rooij, Bin Qin, Frits Mastik, Hendrik J Vos, Michel Versluis, Alexander L Klibanov, Nico de Jong, Flordeliza S Villanueva, Xucai Chen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Klazina KooimanCenter for Ultrasound Molecular Imaging and Therapeutics, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.ORCID http://orcid.org/0000-0002-0607-4989
Tom van RooijDepartment of Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands.
Bin QinCenter for Ultrasound Molecular Imaging and Therapeutics, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
Frits MastikDepartment of Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands.
Hendrik J VosDepartment of Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands.
Michel VersluisPhysics of Fluids Group, MIRA Institute for Biomedical Technology and Technical Medicine and MESA+ Institute for Nanotechnology, University of Twente, Enschede, the Netherlands.
Alexander L KlibanovCardiovascular Division, Department of Medicine, University of Virginia, Charlottesville, Virginia, United States of America.
Nico de JongDepartment of Biomedical Engineering, Thoraxcenter, Erasmus MC, Rotterdam, the Netherlands.
Flordeliza S VillanuevaCenter for Ultrasound Molecular Imaging and Therapeutics, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
Xucai ChenCenter for Ultrasound Molecular Imaging and Therapeutics, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America.
Erasmus MC · NLUniversity of Pittsburgh Medical Center · USUniversity of Twente · NLUniversity of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acoustic behavior of lipid-coated microbubbles has been widely studied, which has led to several numerical microbubble dynamics models that incorporate lipid coating behavior, such as buckling and rupture. In this study we investigated the relationship between microbubble acoustic and lipid coating behavior on a nanosecond scale by using fluorescently labeled lipids. It is hypothesized that a local increased concentration of lipids, appearing as a focal area of increased fluorescence intensity (hot spot) in the fluorescence image, is related to buckling and folding of the lipid layer thereby highly influencing the microbubble acoustic behavior. To test this hypothesis, the lipid microbubble coating was fluorescently labeled. The vibration of the microbubble (n = 177; 2.3-10.3 μm in diameter) upon insonification at an ultrasound frequency of 0.5 or 1 MHz at 25 or 50 kPa acoustic pressure was recorded with the UPMC Cam, an ultra-high-speed fluorescence camera, operated at ~4-5 million frames per second. During short tone-burst excitation, hot spots on the microbubble coating occurred at relative vibration amplitudes > 0.3 irrespective of frequency and acoustic pressure. Around resonance, the majority of the microbubbles formed hot spots. When the microbubble also deflated acoustically, hot spot formation was likely irreversible. Although compression-only behavior (defined as substantially more microbubble compression than expansion) and subharmonic responses were observed in those microbubbles that formed hot spots, both phenomena were also found in microbubbles that did not form hot spots during insonification. In conclusion, this study reveals hot spot formation of the lipid monolayer in the microbubble's compression phase. However, our experimental results show that there is no direct relationship between hot spot formation of the lipid coating and microbubble acoustic behaviors such as compression-only and the generation of a subharmonic response. Hence, our hypothesis that hot spots are related to acoustic buckling could not be verified.

Indexed as

AcousticsMicrobubblesCoated Materials, BiocompatibleContrast MediaLipidsModels, TheoreticalPressureSonicationVibrationCoated Materials, BiocompatibleContrast MediaLipids

Identifiers

PMID28686673
PMCPMC5501608
OpenAlexW2728911376

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.