Evidence map›Paper›PMID 37712968›Full record

ArticleWorld journal of urology2023

Assessing cancer risk in the anterior part of the prostate using micro-ultrasound: validation of a novel distinct protocol.

Sandy Schaer, Arnas Rakauskas, Julien Dagher, Stefano La Rosa, Jake Pensa, Wayne Brisbane, Leonard Marks, Adam Kinnaird, Robert Abouassaly, Eric Klein and 5 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  3. Review
  4. Micro-ultrasound for prostate cancer.Nature reviews. Urology · 2026
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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

15 authors at 7 institutions in 5 countries.

Sandy SchaerUnit of Urology, Department of Surgery, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011, Lausanne, Switzerland. Sandy.schaer@chuv.ch.ORCID http://orcid.org/0009-0005-4998-0446
Arnas RakauskasUnit of Urology, Department of Surgery, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Julien DagherInstitute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Stefano La RosaInstitute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Jake PensaUCLA Institute of Urologic Oncology, Los Angeles, USA.
Wayne BrisbaneUCLA Institute of Urologic Oncology, Los Angeles, USA.
Leonard MarksUCLA Institute of Urologic Oncology, Los Angeles, USA.
Adam KinnairdUCLA Institute of Urologic Oncology, Los Angeles, USA.
Robert AbouassalyGlickman Urological & Kidney Institute, Cleveland Clinic, Cleveland, USA.
Eric KleinGlickman Urological & Kidney Institute, Cleveland Clinic, Cleveland, USA.
Lewis ThomasGlickman Urological & Kidney Institute, Cleveland Clinic, Cleveland, USA.
Jean-Yves MeuwlyDepartment of Radiology, Lausanne University Hospital (CHUC), Lausanne, Switzerland.
Pamela ParkerDepartment of Radiology, Hull University Teaching Hospitals NHS Trust, Hull, UK.
Beat RothUnit of Urology, Department of Surgery, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Massimo ValerioUnit of Urology, Department of Surgery, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011, Lausanne, Switzerland.
University of Lausanne · CHCleveland Clinic · USUniversity Hospital of Geneva · CHUniversity Hospital of Lausanne · CHUniversity of Alberta · CAUniversity of Hull · GBUniversity of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop and validate a micro-ultrasound risk score that predicts the likelihood of significant prostate cancer in the anterior zone.

methodsPatients were enrolled from three expert institutions familiar with micro-ultrasound. The study was conducted in two phases. First, the PRI-MUS anterior score was developed by assessing selected prostate videos from patients who subsequently underwent radical prostatectomy. Second, seven urology readers with varying levels of experience in micro-ultrasound examination evaluated prostate loops according to the PRI-MUS anterior score. Each reader watched the videos and recorded the likelihood of the presence of significant cancer in the anterior part of the prostate in a three-point scale. The coherence among the readers was calculated using the Fleiss kappa and the Cronbach alpha.

resultsA total of 102 selected prostate scans were used to develop the risk assessment for anterior zone cancer in the prostate. The score comprised three categories: likely, equivocal, and unlikely. The median (IQR) sensitivity, specificity, positive predictive value, and negative predictive value for the seven readers were 72% (68-84), 68% (64-84), 75% (72-81), and 73% (71-80), respectively. The mean SD ROC AUC was 0.75 ± 2%, while the Fleiss kappa and the Cronbach alpha were 0.179 and 0.56, respectively.

conclusionMicro-ultrasound can detect cancerous lesions in the anterior part of the prostate. When combined with the PRI-MUS protocol to assess the peripheral part, it enables an assessment of the entire prostate gland. Pending external validation, the PRI-MUS anterior score developed in this study might be implemented in clinical practice.

Indexed as

ProstateProstatic NeoplasmsHumansMagnetic Resonance ImagingMalePelvisRisk AssessmentUltrasonographyMicro-ultrasoundProstate biopsyProstate cancerTransitional zone

Identifiers

PMID37712968
PMCPMC10632243
OpenAlexW4386757532

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.