Evidence map›Paper›PMID 27369143›Full record

ArticleThe Journal of the Acoustical Society of America2016

Wideband acoustic activation and detection of droplet vaporization events using a capacitive micromachined ultrasonic transducer.

Anthony Novell, Christopher B Arena, Omer Oralkan, Paul A Dayton

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Journal of the Acoustical Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
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 2 institutions in 1 country.

Anthony NovellJoint Department of Biomedical Engineering, The University of North Carolina and North Carolina State University, Chapel Hill, North Carolina 27599, USA.
Christopher B ArenaJoint Department of Biomedical Engineering, The University of North Carolina and North Carolina State University, Chapel Hill, North Carolina 27599, USA.
Omer OralkanJoint Department of Biomedical Engineering, The University of North Carolina and North Carolina State University, Chapel Hill, North Carolina 27599, USA.
Paul A DaytonJoint Department of Biomedical Engineering, The University of North Carolina and North Carolina State University, Chapel Hill, North Carolina 27599, USA.
North Carolina State University · USUniversity of North Carolina at Chapel Hill · US

Funding

SEEDING POSTDOCTORAL INNOVATORS IN RESEARCH &EDUCATIONK12GM000678 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DONALD T LYSLE, Kathryn Joanna Reissner · 1999 to 2026
$30.9M
NIGMS NIH HHS K12 GM000678
6 · The paper itself

Abstract

An ongoing challenge exists in understanding and optimizing the acoustic droplet vaporization (ADV) process to enhance contrast agent effectiveness for biomedical applications. Acoustic signatures from vaporization events can be identified and differentiated from microbubble or tissue signals based on their frequency content. The present study exploited the wide bandwidth of a 128-element capacitive micromachined ultrasonic transducer (CMUT) array for activation (8 MHz) and real-time imaging (1 MHz) of ADV events from droplets circulating in a tube. Compared to a commercial piezoelectric probe, the CMUT array provides a substantial increase of the contrast-to-noise ratio.

Indexed as

MicrobubblesTransducersContrast MediaEquipment DesignFluorocarbonsLipidsTime FactorsUltrasonographyVolatilizationContrast MediaFluorocarbonsLipidsperflutren

Identifiers

PMID27369143
PMCPMC5848826
OpenAlexW2463593137

What OpenQuestion holds

Textmetadata
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.