Evidence map›Paper›PMID 31058661›Full record

ArticleInvestigative radiology2019

Super-Resolution Contrast-Enhanced Ultrasound Methodology for the Identification of In Vivo Vascular Dynamics in 2D.

Evangelos Kanoulas, Mairead Butler, Caitlin Rowley, Vasiliki Voulgaridou, Konstantinos Diamantis, William Colin Duncan, Alan McNeilly, Michalakis Averkiou, Hessel Wijkstra, Massimo Mischi and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Investigative radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging In Vivo.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023
    Article
  11. Ultrasound localization microscopy.Zeitschrift fur medizinische Physik · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Morphological Reconstruction Improves Microvessel Mapping in Super-Resolution Ultrasound.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  18. Article
  19. Super-resolution Ultrasound Imaging.Ultrasound in medicine & biology · 2020
    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

13 authors at 7 institutions in 3 countries.

Evangelos KanoulasFrom the Institute of Biochemistry, Biological Physics, and Bio Engineering, and.
Mairead ButlerFrom the Institute of Biochemistry, Biological Physics, and Bio Engineering, and.
Caitlin RowleyDepartment of Physics, Heriot-Watt University, Riccarton.
Vasiliki VoulgaridouFrom the Institute of Biochemistry, Biological Physics, and Bio Engineering, and.
Konstantinos DiamantisInstitute for Digital Communications, and.
William Colin DuncanCenter for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom.
Alan McNeillyCenter for Reproductive Health, University of Edinburgh, Edinburgh, United Kingdom.
Michalakis AverkiouDepartment of Bioengineering, University of Washington, Seattle, WA.
Hessel WijkstraDepartment of Urology, AMC, University Hospital, Amsterdam.
Massimo MischiDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
Rhodri Simon Wilson
Weiping LuFrom the Institute of Biochemistry, Biological Physics, and Bio Engineering, and.
Vassilis SborosFrom the Institute of Biochemistry, Biological Physics, and Bio Engineering, and.
University of Oxford · GBCRUK/MRC Oxford Institute for Radiation Oncology · GBUniversity of Edinburgh · GBEindhoven University of Technology · NLHeriot-Watt University · GBUniversity of Amsterdam · NLUniversity of Washington · US

Funding

British Heart Foundation PG/10/021/28254British Heart Foundation PG/10/21/28254Medical Research Council G0500717Medical Research Council G0800896Medical Research Council G0901807Medical Research Council MRC/CIC3/027
6 · The paper itself

Abstract

objectivesThe aim of this study was to provide an ultrasound-based super-resolution methodology that can be implemented using clinical 2-dimensional ultrasound equipment and standard contrast-enhanced ultrasound modes. In addition, the aim is to achieve this for true-to-life patient imaging conditions, including realistic examination times of a few minutes and adequate image penetration depths that can be used to scan entire organs without sacrificing current super-resolution ultrasound imaging performance.

methodsStandard contrast-enhanced ultrasound was used along with bolus or infusion injections of SonoVue (Bracco, Geneva, Switzerland) microbubble (MB) suspensions. An image analysis methodology, translated from light microscopy algorithms, was developed for use with ultrasound contrast imaging video data. New features that are tailored for ultrasound contrast image data were developed for MB detection and segmentation, so that the algorithm can deal with single and overlapping MBs. The method was tested initially on synthetic data, then with a simple microvessel phantom, and then with in vivo ultrasound contrast video loops from sheep ovaries. Tracks detailing the vascular structure and corresponding velocity map of the sheep ovary were reconstructed. Images acquired from light microscopy, optical projection tomography, and optical coherence tomography were compared with the vasculature network that was revealed in the ultrasound contrast data. The final method was applied to clinical prostate data as a proof of principle.

resultsFeatures of the ovary identified in optical modalities mentioned previously were also identified in the ultrasound super-resolution density maps. Follicular areas, follicle wall, vessel diameter, and tissue dimensions were very similar. An approximately 8.5-fold resolution gain was demonstrated in vessel width, as vessels of width down to 60 μm were detected and verified (λ = 514 μm). Best agreement was found between ultrasound measurements and optical coherence tomography with 10% difference in the measured vessel widths, whereas ex vivo microscopy measurements were significantly lower by 43% on average. The results were mostly achieved using video loops of under 2-minute duration that included respiratory motion. A feasibility study on a human prostate showed good agreement between density and velocity ultrasound maps with the histological evaluation of the location of a tumor.

conclusionsThe feasibility of a 2-dimensional contrast-enhanced ultrasound-based super-resolution method was demonstrated using in vitro, synthetic and in vivo animal data. The method reduces the examination times to a few minutes using state-of-the-art ultrasound equipment and can provide super-resolution maps for an entire prostate with similar resolution to that achieved in other studies.

Indexed as

Contrast MediaPhospholipidsSulfur HexafluorideAlgorithmsAnimalsFemaleHumansImage EnhancementIn Vitro TechniquesMicrobubblesMicrovesselsModels, AnimalOvaryPhantoms, ImagingSheepUltrasonographycontrast agent BR1Contrast MediaPhospholipidsSulfur Hexafluoride

Identifiers

PMID31058661
PMCPMC6661242
OpenAlexW2944448800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.