Evidence map›Paper›PMID 30224779›Full record

ArticleScientific reports2018

Super-resolution ultrasound imaging method for microvasculature in vivo with a high temporal accuracy.

Jaesok Yu, Linda Lavery, Kang Kim

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05754814 (SUper-Resolution Ultrasound Imaging of Erythrocytes), which is not on this map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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.

NCT05754814 completednot on this mapstarted 2022, after this paper: background citation

SUper-Resolution Ultrasound Imaging of Erythrocytes (SURE) in Normal and Malignant Lymph Nodes

TypeobservationalSponsorRigshospitalet, DenmarkRan2022 to 2026Enrolled20ConditionsHead and Neck Cancer, Lymphoma, Lymph Node MetastasisArmsMalignant lymph nodes
3 · Its place in the literature

Who cites it

45 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. OptimizingPhysics in medicine and biology · 2025
    Article
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  11. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  12. Review
  13. Article
  14. Medical Imaging Technology for Micro/Nanorobots.Nanomaterials (Basel, Switzerland) · 2023
    Review
  15. Article
  16. Article
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  18. Article
  19. 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

3 authors.

Jaesok YuCenter for Ultrasound Molecular Imaging and Therapeutics, Department of Medicine and Heart and Vascular Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, 15261, USA.
Linda LaveryCenter for Ultrasound Molecular Imaging and Therapeutics, Department of Medicine and Heart and Vascular Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, 15261, USA.
Kang KimCenter for Ultrasound Molecular Imaging and Therapeutics, Department of Medicine and Heart and Vascular Institute, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, 15261, USA. kangkim@upmc.edu.

Funding

High-resolution ultrasound in-vivo animal imaging system-Vevo2100S10RR027383 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIM, KANG · 2010 to 2010
$498k
NCRR NIH HHS S10 RR027383
6 · The paper itself

Abstract

Traditional ultrasound imaging techniques are limited in spatial resolution to visualize angiogenic vasa vasorum that is considered as an important marker for atherosclerotic plaque progression and vulnerability. The recently introduced super-resolution imaging technique based on microbubble center localization has shown potential to achieve unprecedented high spatial resolution beyond the acoustic diffraction limit. However, a major drawback of the current super-resolution imaging approach is low temporal resolution because it requires a large number of imaging frames. In this study, a new imaging sequence and signal processing approach for super-resolution ultrasound imaging are presented to improve temporal resolution by employing deconvolution and spatio-temporal-interframe-correlation based data acquisition. In vivo feasibility of the developed technology is demonstrated and evaluated in imaging vasa vasorum in the rabbit atherosclerosis model. The proposed method not only identifies a tiny vessel with a diameter of 41 μm, 5 times higher spatial resolution than the acoustic diffraction limit at 7.7 MHz, but also significantly improves temporal resolution that allows for imaging vessels over cardiac motion.

Indexed as

AnimalsAtherosclerosisDisease Models, AnimalMicrobubblesMicrovesselsRabbitsSignal Processing, Computer-AssistedUltrasonography

Identifiers

PMID30224779
PMCPMC6141566

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.