Evidence map›Paper›PMID 39976631›Full record

ArticleEuropean radiology experimental2025

Mapping of prostate cancer microvascular patterns using super-resolution ultrasound imaging.

Mairead B Butler, Georgios Papageorgiou, Evangelos D Kanoulas, Vasiliki Voulgaridou, Hessel Wijkstra, Massimo Mischi, Christophe K Mannaerts, Steven McDougall, William Colin Duncan, Weiping Lu and 1 more

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European radiology experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02831920 (CEUS Targeted Biopsies Compared to mpMRI Targeted and Systematic Biopsies for the Detection of Prostate Cancer), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT02831920 naunknown statusnot on this map

CEUS Targeted Biopsies Compared to mpMRI Targeted and Systematic Biopsies for the Detection of Prostate Cancer

TypeinterventionalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2015 to 2019Enrolled299ConditionsProstate Cancer, Prostatic NeoplasmsArmsCEUS and targeted biopsies, MRI and targeted biopsies
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
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  3. Review
  4. 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

11 authors.

Mairead B ButlerHeriot-Watt University, Institute of Biological Chemistry, Biophysics and Bioengineering, Engineering and Physical Sciences, Edinburgh, EH14 4AS, UK. M.Butler@hw.ac.uk.ORCID http://orcid.org/0000-0001-9064-929X
Georgios PapageorgiouHeriot-Watt University, Institute of Biological Chemistry, Biophysics and Bioengineering, Engineering and Physical Sciences, Edinburgh, EH14 4AS, UK.
Evangelos D KanoulasHeriot-Watt University, Institute of Biological Chemistry, Biophysics and Bioengineering, Engineering and Physical Sciences, Edinburgh, EH14 4AS, UK.
Vasiliki VoulgaridouHeriot-Watt University, Institute of Biological Chemistry, Biophysics and Bioengineering, Engineering and Physical Sciences, Edinburgh, EH14 4AS, UK.
Hessel WijkstraEindhoven University of Technology, Electrical Engineering, Eindhoven, The Netherlands.
Massimo MischiEindhoven University of Technology, Electrical Engineering, Eindhoven, The Netherlands.
Christophe K MannaertsDepartment of Urology, Radboud University Medical Center, Nijmegen, The Netherlands.
Steven McDougallHeriot-Watt University, Institute of Biological Chemistry, Biophysics and Bioengineering, Engineering and Physical Sciences, Edinburgh, EH14 4AS, UK.
William Colin DuncanThe Centre for Reproductive Health, Institute for Regeneration and Repair, 4-5 Little France Drive, Edinburgh BioQuarter, Edinburgh, EH16 4UU, UK.
Weiping LuHeriot-Watt University, Institute of Biological Chemistry, Biophysics and Bioengineering, Engineering and Physical Sciences, Edinburgh, EH14 4AS, UK.
Vassilis SborosHeriot-Watt University, Institute of Biological Chemistry, Biophysics and Bioengineering, Engineering and Physical Sciences, Edinburgh, EH14 4AS, UK.

Funding

Central Laser Facility, Science and Technology Facilities Council ST/M007804/1Engineering and Physical Sciences Research Council EP/N015320/1Medical Research Council (UK) G0800896Medical Research Council (UK) MRC/CIC3/027
6 · The paper itself

Abstract

backgroundSuper-resolution ultrasound imaging (SRUI) is a rapidly expanding field with the potential to impact cancer management. Image processing algorithms applied to contrast-enhanced ultrasound (CEUS) video data can track the path of the contrast agent and produce high-resolution maps of vascular networks. Our aim was to develop SRUI for mapping prostate vascular dynamics and to assess the feasibility of identifying vascular patterns associated with prostate cancer.

methodsTracking algorithms for SRUI were developed using in silico data and validated in pre-clinical CEUS video collected from the sheep ovary. Algorithm performance was then assessed in a retrospective study of 54 image planes within 14 human prostates. CEUS data was collected for each plane, and regions of suspected cancer in each were identified from biopsy data.

resultsOf three algorithms assessed, utilising vascular knowledge was found to be the most robust method. Regions of suspected cancer were associated with increased blood flow volume and speed while avascular regions were also identified. Ten scan planes had confirmed Gleason 7 cancer; of these 10 planes, 7 had distinct regions of fast and high-volume flow, while 6 had both avascular and high flow regions. The cancer-free planes had more consistent, low blood flow values across the plane.

conclusionSRUI can be used to identify imaging biomarkers associated with vascular architecture and dynamics. These multiparameter biomarkers may be useful in pinpointing regions of significant prostate cancer. RELEVANCE STATEMENT: Super-resolution ultrasound imaging can generate microvascular maps of the prostate, revealing tissue patterns and presenting significant potential for the identification of multiple biomarkers associated with the localisation of prostate cancer.

trial registrationRetrospectively registered NCT02831920, date 5/7/2016 https://www. CLINICALTRIALS: gov/study/NCT02831920 . KEY POINTS: An algorithm was developed and tested in synthetic pre-clinical and clinical data. Maps of blood vessels were created using contrast-enhanced ultrasound imaging. Specific presentations of vasculature at regions of prostate cancer have been identified.

Indexed as

MicrovesselsProstatic NeoplasmsAlgorithmsAnimalsContrast MediaHumansMaleRetrospective StudiesSheepUltrasonographyContrast MediaAlgorithmsAnimalsMicrobubblesProstatic neoplasmsUltrasonography

Identifiers

PMID39976631
PMCPMC11842657

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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.