Evidence map›Paper›PMID 35380263›Full record

ReviewRadiologie (Heidelberg, Germany)2022

[Super-resolution ultrasound imaging : Methods and applications].

Céline Porte, Fabian Kiessling

Abstract readReview
PubMed Publisher
In one paragraph

Review in Radiologie (Heidelberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

2 authors at 1 institution in 1 country.

Céline PorteInstitut für Experimentelle Molekulare Bildgebung, Rheinisch-Westfälische Technische Hochschule Aachen, Center for Biohybrid Medical Systems, Forckenbeckstraße 55, 52074, Aachen, Deutschland.
Fabian KiesslingInstitut für Experimentelle Molekulare Bildgebung, Rheinisch-Westfälische Technische Hochschule Aachen, Center for Biohybrid Medical Systems, Forckenbeckstraße 55, 52074, Aachen, Deutschland. fkiessling@ukaachen.de.
RWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

clinical/methodical issueThe microvasculature plays an important role in many pathologic conditions but cannot be characterized in high resolution via conventional ultrasound methods. STANDARD RADIOLOGICAL

methodsDoppler-based techniques, contrast-enhanced sonography as well as dynamic contrast-enhanced computed tomography (CT) and magnetic resonance imaging (MRI) are commonly used to characterize tissue vascularization. However, these techniques cannot visualize the microvasculature adequately. METHODICAL INNOVATION: Ultrasound localization microscopy (ULM) consists of contrast-enhanced ultrasound measurements in combination with a complex post-processing algorithm which detects microbubbles with high precision. The vasculature can then be visualized by accumulating the microbubble positions in a final image. PERFORMANCE: Compared to conventional ultrasound techniques, ULM improves the image resolution by a factor of more than 10. This currently results in resolutions down to 10 µm and allows, therefore, the visualization of capillaries and the assessment of their perfusion. Also, this does not lead to a reduction of the penetration depth or the signal-to-noise ratio (SNR). ACHIEVEMENT: The method enables the visualization of vascular structures in unsurpassed detail and has the potential to offer new possibilities for the diagnosis of various diseases and for gaining insights into physiological processes. However, ULM is not commercially available yet but is intensely being tested in clinical studies. PRACTICAL RECOMMENDATIONS: ULM could potentially be applied to all fields in which the vasculature is relevant. Current fields of application include oncology, nephrology, and neurological research.

Indexed as

Contrast MediaMicrobubblesMicrovesselsSignal-To-Noise RatioUltrasonographyContrast MediaContrast agentImage analysisImage processingMicrovasculatureSonography

Identifiers

PMID35380263
OpenAlexW4225818149

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.