Evidence map›Paper›PMID 28975635›Full record

ArticleMedical physics2017

Toward optimization of in vivo super-resolution ultrasound imaging using size-selected microbubble contrast agents.

Debabrata Ghosh, Fangyuan Xiong, Shashank R Sirsi, Philip W Shaul, Robert F Mattrey, Kenneth Hoyt

Abstract read
In one paragraph

Article in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Super-Resolution Ultrasound Imaging for Monitoring the Therapeutic Efficacy of a Vascular Disrupting Agent in an Animal Model of Breast Cancer.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evaluation of Nonlinear Contrast Pulse Sequencing for Use in Super-Resolution Ultrasound Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  8. Article
  9. Article
  10. 3-D Super-Resolution Ultrasound Imaging for Monitoring Early Changes in Breast Cancer after Treatment with a Vascular-Disrupting Agent.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2021
    Article
  11. Article
  12. Article
  13. Three-dimensional super-resolution ultrasound imaging of chicken embryos - A validation framework for analysis of microvascular morphology.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  14. Faster motion correction of clinical contrast-enhanced ultrasound imaging using deep learning.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  15. Review
  16. Three-dimensional evaluation of microvascular networks using contrast-enhanced ultrasound and microbubble tracking.IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium · 2020
    Article
  17. Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020
    Article
  18. Article
  19. Super-resolution Ultrasound Imaging.Ultrasound in medicine & biology · 2020
    Review
  20. Super-Resolution Ultrasound Imaging of Skeletal Muscle Microvascular Dysfunction in an Animal Model of Type 2 Diabetes.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2019
    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

6 authors.

Debabrata GhoshDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, 75080, USA.
Fangyuan XiongDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, 75080, USA.
Shashank R SirsiDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, 75080, USA.
Philip W ShaulDepartment of Pediatrics, Center for Pulmonary and Vascular Biology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Robert F MattreyDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
Kenneth HoytDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX, 75080, USA.

Funding

Molecular Ultrasound Imaging of Cancer Response to Antiangiogenic TherapyK25EB017222 · NIBIB · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2014 to 2018
$804k
Noninvasive Pressure Estimation in Breast Cancer using UltrasoundR21CA212851 · NCI · UNIVERSITY OF TEXAS DALLAS · PI HOYT, KENNETH · 2017 to 2018
$366k
NCI NIH HHS R21 CA212851NIBIB NIH HHS K25 EB017222
6 · The paper itself

Abstract

purposeMicrovascular processes play key roles in many diseases including diabetes. Improved understanding of the microvascular changes involved in disease development could offer crucial insight into the relationship of these changes to disease pathogenesis. Super-resolution ultrasound (SR-US) imaging has showed the potential to visualize microvascular detail down to the capillary level (i.e., subwavelength resolution), but optimization is still necessary. The purpose of this study was to investigate in vivo SR-US imaging of skeletal muscle microvascularity using microbubble (MB) contrast agents of various size and concentration while evaluating different ultrasound (US) system level parameters such as imaging frame rate and image acquisition length.

methodsAn US system equipped with a linear array transducer was used in a harmonic imaging mode at low transmit power. C57BL/6J mice fed a normal diet were used in this study. An assortment of size-selected MB contrast agents (1-2 μm, 3-4 μm, and 5-8 μm in diameter) were slowly infused in the tail vein at various doses (1.25 × 10

resultsExperimental findings illustrate the use of larger MB results in better SR-US images in terms of skeletal muscle microvascular detail. A dose of 2.5 × 10

conclusionsThis study indicates that MB size and dose and US system imaging rate and data acquisition length have significant impact on the quality of in vivo SR-US images of skeletal muscle microvascularity.

Indexed as

Contrast MediaMicrobubblesSignal-To-Noise RatioAnimalsImage Processing, Computer-AssistedMiceMuscle, SkeletalUltrasonographyContrast Mediacontrast-enhanced ultrasounddiabetesmicrobubblessuper-resolution ultrasound

Identifiers

PMID28975635
PMCPMC5734623

What OpenQuestion holds

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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.