Evidence map›Paper›PMID 33915779›Full record

ReviewSensors (Basel, Switzerland)2021

Current Development and Applications of Super-Resolution Ultrasound Imaging.

Qiyang Chen, Hyeju Song, Jaesok Yu, Kang Kim

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advancements in Three-Dimensional Super-Resolution Ultrasound Imaging: A Narrative Review.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025
    Review
  5. Microvascular Ultrasound Imaging in the Neonatal Brain: From Advanced Doppler to Super-Resolution.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2025
    Review
  6. Article
  7. Article
  8. Observational
  9. Review
  10. Review
  11. Coded Excitation for Ultrasonic Testing: A Review.Sensors (Basel, Switzerland) · 2024
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Recent Advances in Imaging Sensors and Applications.Sensors (Basel, Switzerland) · 2021
    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.

Qiyang ChenDepartment of Bioengineering, School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Hyeju SongDepartment of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea.
Jaesok YuDepartment of Robotics Engineering, Daegu Gyeongbuk Institute of Science & Technology (DGIST), Daegu 42988, Korea.ORCID 0000-0001-8157-1718
Kang KimDepartment of Bioengineering, School of Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.

Funding

Korea Medical Device Development Fund grant funded by the Korea government 202011C01National Research Foundation of Korea 2020R1C1C1009488
6 · The paper itself

Abstract

Abnormal changes of the microvasculature are reported to be key evidence of the development of several critical diseases, including cancer, progressive kidney disease, and atherosclerotic plaque. Super-resolution ultrasound imaging is an emerging technology that can identify the microvasculature noninvasively, with unprecedented spatial resolution beyond the acoustic diffraction limit. Therefore, it is a promising approach for diagnosing and monitoring the development of diseases. In this review, we introduce current super-resolution ultrasound imaging approaches and their preclinical applications on different animals and disease models. Future directions and challenges to overcome for clinical translations are also discussed.

Indexed as

AcousticsMicrovesselsAnimalsKidneyUltrasonographyclinical applicationsdeep learningsuper-resolutionultrasound imaging

Identifiers

PMID33915779
PMCPMC8038018

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.