Evidence map›Paper›PMID 24497883›Full record

ReviewKorean circulation journal2014

Cardiovascular molecular imaging with contrast ultrasound: principles and applications.

Chi Young Shim, Jonathan R Lindner

Abstract readReview
In one paragraph

Review in Korean circulation journal, 2014. 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. Article
  2. Review
  3. Review
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.

Chi Young ShimKnight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA.
Jonathan R LindnerKnight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA.

Funding

Targeted CEU Imaging of Atherosclerosis and AngiogenesisR01HL078610 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI LINDNER, JONATHAN R · 2004 to 2022
$6.8M
Biomarkers of Inflammation and Vaso-occlusion in Sickle Cell DiseaseR01HL111969 · NHLBI · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI FIELD, JOSHUA JEFFREY, LINDEN, JOEL M. · 2012 to 2016
$4.0M
NHLBI NIH HHS R01 HL078610NHLBI NIH HHS R01 HL111969
6 · The paper itself

Abstract

Methods for imaging the molecular or cellular profile of tissue are being developed for all forms of non-invasive cardiovascular imaging. It is thought that these technologies will potentially improve patient outcomes by allowing diagnosis of disease at an early-stage, monitoring disease progression, providing important information on patient risk, and for tailoring therapy to the molecular basis of disease. Molecular imaging is also already assuming an important role in science by providing a better understanding of the molecular basis of cardiovascular pathology, for assessing response to new therapies, and for rapidly optimizing new or established therapies. Ultrasound-based molecular imaging is one of these new approaches. Contrast-enhanced ultrasound molecular imaging relies on the detection of novel site-targeted microbubbles (MB) or other acoustically active particles which are administered by intravenous injection, circulate throughout the vascular compartment, and are then retained and imaged within regions of disease by ligand-directed binding. The technique is thought to be advantageous in practical terms of cost, time, and ease of use. The aim of this review is to discuss the molecular participants of cardiovascular disease that have been targeted for ultrasound imaging, general features of site-targeted MB, imaging protocols, and potential roles of ultrasound molecular imaging in cardiovascular research and clinical medicine.

Indexed as

Contrast ultrasoundMicrobubblesMolecular imaging

Identifiers

PMID24497883
PMCPMC3905109

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.