Evidence map›Paper›PMID 23981785›Full record

ArticleMolecular imaging2013

Shear forces from flow are responsible for a distinct statistical signature of adherent microbubbles in large vessels.

Shiying Wang, F William Mauldin, Alexander L Klibanov, John A Hossack

Open access · goldAbstract read
In one paragraph

Article in Molecular imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Pipe Phantoms With Applications in Molecular Imaging and System Characterization.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2017
    Article
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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

4 authors at 1 institution in 1 country.

Shiying WangDepartment of Biomedical Engineering and Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA.
F William Mauldin
Alexander L Klibanov
John A Hossack
University of Virginia · US

Funding

QUANTITATIVE 3D ULTRASOUND IMAGING OF THE MURINE HEARTR01EB001826 · NIBIB · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI HOSSACK, JOHN A · 2003 to 2012
$2.4M
Ultrasound Targeted Molecular Imaging in Large Arteries to Diagnose Stroke RiskR01HL111077 · NHLBI · UNIVERSITY OF VIRGINIA · PI HOSSACK, JOHN A · 2012 to 2015
$1.4M
Image-guided Ultrasound-triggered Tumor TherapyR33CA102880 · NCI · UNIVERSITY OF VIRGINIA · PI KLIBANOV, ALEXANDER L · 2008 to 2011
$1.1M
Image-guided Ultrasound-triggered Tumor TherapyR21CA102880 · NCI · UNIVERSITY OF VIRGINIA · PI KLIBANOV, ALEXANDER L · 2007 to 2007
$205k
NCI NIH HHS R21/33 CA102880NCI NIH HHS R21 CA102880NCI NIH HHS R33 CA102880NHLBI NIH HHS R01 HL111077NIBIB NIH HHS R01 EB001826
6 · The paper itself

Abstract

Real-time ultrasound-based targeted molecular imaging in large blood vessels holds promise for early detection and diagnosis of stroke risk by identifying early markers for atherosclerosis prior to plaque formation. Singular spectrum-based targeted molecular (SiSTM) imaging is a recently proposed method that uses changes in statistical dimensionality-quantified by a normalized singular spectrum area (NSSA)-to image receptor-ligand-bound adherent microbubbles. However, the precise physical mechanism responsible for the distinct statistical signature was previously unknown. In this study, in vitro flow phantom experiments were performed to elucidate the physical mechanism in large blood vessel environments. In the absence of flow, an increase in the NSSA of adherent microbubbles with respect to tissue was not observed with increased microbubble concentration or pulse length (p > .23; n  =  5) but was observed with increased flow rate (p < .01; n  =  10). When observing the dynamics of the adherent microbubble statistics, a good correlation was observed between the NSSA and the derivative of image intensity (R2 > .97). In addition, a monotonic relationship between the NSSA and decorrelation was demonstrated. These findings confirm the hypothesis that the statistical signature of adherent microbubbles is derived from frame-to-frame decorrelation, which is induced by flow shear forces.

Indexed as

MicrobubblesModels, AnatomicMolecular ImagingPhantoms, ImagingRheologyStress, MechanicalUltrasonography

Identifiers

PMID23981785
PMCPMC4061764
OpenAlexW2184331250

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.