Evidence map›Paper›PMID 39698116›Full record

ArticleIEEE open journal of engineering in medicine and biology2025

Surface-Based Ultrasound Scans for the Screening of Prostate Cancer.

Rory Bennett, Tristan Barrett, Vincent J Gnanapragasam, Zion Tse

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Rory BennettSchool of Engineering and Materials ScienceQueen Mary University of London E1 4NS London U.K.ORCID https://orcid.org/0000-0002-0967-0778
Tristan BarrettDepartment of Radiology, Addenbrooke's HospitalUniversity of Cambridge School of Clinical Medicine CB2 0QQ Cambridge U.K.
Vincent J GnanapragasamDepartment of Radiology, Addenbrooke's HospitalUniversity of Cambridge School of Clinical Medicine CB2 0QQ Cambridge U.K.
Zion TseSchool of Engineering and Materials ScienceQueen Mary University of London E1 4NS London U.K.ORCID https://orcid.org/0000-0001-9741-1137

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-based ultrasound (SUS) systems have undergone substantial improvement over the years in image quality, ease-of-use, and reduction in size. Their ability to image organs non-invasively makes them a prime technology for the diagnosis and monitoring of various diseases and conditions. An example is the screening/risk- stratification of prostate cancer (PCa) using prostate-specific antigen density (PSAD). Current literature predominantly focuses on prostate volume (PV) estimation techniques that make use of magnetic resonance imaging (MRI) or transrectal ultrasound (TRUS) imaging, while SUS techniques are largely overlooked. If a reliable SUS PCa screening method can be introduced, patients may be able to forgo unnecessary MRI or TRUS scans. Such a screening procedure could be introduced into standard primary care settings with point-of-care ultrasound systems available at a fraction of the cost of their larger hospital counterparts. This review analyses whether literature suggests it is possible to use SUS-derived PV in the calculation of PSAD.

Indexed as

Abdominal ultrasoundmachine learningprostate cancerPSA-densitysurface-based ultrasound

Identifiers

PMID39698116
PMCPMC11655114

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.