Evidence map›Paper›PMID 26948260›Full record

ArticleUltrasound in medicine & biology2016

Improved Estimation of Ultrasound Thermal Strain Using Pulse Inversion Harmonic Imaging.

Xuan Ding, Man M Nguyen, Isaac B James, Kacey G Marra, J Peter Rubin, Steven A Leers, Kang Kim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasound in medicine & biology, 2016. 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. Article
  3. 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

7 authors.

Xuan DingDepartment of Bioengineering, University of Pittsburgh School of Engineering, Pittsburgh, Pennsylvania, USA; Medical Scientist Training Program, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, Pennsylvania, USA; Department of Medicine and Heart and Vascular Institute, Center for Ultrasound Molecular Imaging and Therapeutics, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Man M NguyenDepartment of Medicine and Heart and Vascular Institute, Center for Ultrasound Molecular Imaging and Therapeutics, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Isaac B JamesDepartment of Plastic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Kacey G MarraDepartment of Bioengineering, University of Pittsburgh School of Engineering, Pittsburgh, Pennsylvania, USA; Department of Plastic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
J Peter RubinDepartment of Bioengineering, University of Pittsburgh School of Engineering, Pittsburgh, Pennsylvania, USA; Department of Plastic Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Steven A LeersDepartment of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Kang KimDepartment of Bioengineering, University of Pittsburgh School of Engineering, Pittsburgh, Pennsylvania, USA; Department of Medicine and Heart and Vascular Institute, Center for Ultrasound Molecular Imaging and Therapeutics, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA; McGowan Institute for Regenerative Medicine, University of Pittsburgh and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA. Electronic address: kangkim@upmc.edu.

Funding

Cardiovascular Bioengineering Training ProgramT32HL076124 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANJEEV G SHROFF · 2005 to 2026
$7.0M
Ultrasound-induced Thermal Strain Imaging for Arterial Plaque CharacterizationR01HL098230 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIM, KANG · 2010 to 2014
$1.8M
NHLBI NIH HHS R01 HL098230NHLBI NIH HHS R01HL098230NHLBI NIH HHS T32 HL076124
6 · The paper itself

Abstract

Thermal (temporal) strain imaging (TSI) is being developed to detect the lipid-rich core of atherosclerotic plaques and presence of fatty liver disease. However, the effects of ultrasonic clutter on TSI have not been considered. In this study, we evaluated whether pulse inversion harmonic imaging (PIHI) could be used to improve estimates of thermal (temporal) strain. Using mixed castor oil-gelatin phantoms of different concentrations and artificially introduced clutter, we found that PIHI improved the signal-to-noise ratio of TSI by an average of 213% or 52.1% relative to 3.3- and 6.6-MHz imaging, respectively. In a phantom constructed using human liposuction fat in the presence of clutter, the contrast-to-noise ratio was degraded by 35.1% for PIHI compared with 62.4% and 43.7% for 3.3- and 6.6-MHz imaging, respectively. These findings were further validated using an ex vivo carotid endarterectomy sample. PIHI can be used to improve estimates of thermal (temporal) strain in the presence of clutter.

Indexed as

AlgorithmsElasticity Imaging TechniquesImage EnhancementImage Interpretation, Computer-AssistedPhantoms, ImagingReproducibility of ResultsSensitivity and SpecificityThermographyNon-invasive ultrasound thermometryOil–gelatin phantomPulse inversion harmonic imagingTemporal strain imagingThermal strain imagingUltrasound clutter

Identifiers

PMID26948260
PMCPMC4811719

What OpenQuestion holds

Textmetadata
LicenceTDM
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.