Evidence map›Paper›PMID 34324383›Full record

ReviewThe British journal of radiology2022

The challenge of prostate biopsy guidance in the era of mpMRI detected lesion: ultrasound-guided versus in-bore biopsy.

Auke Jager, Joan C Vilanova, Massimo Michi, Hessel Wijkstra, Jorg R Oddens

3 registry-linked trialsOpen access · greenAbstract readReview
In one paragraph

Review in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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.

NCT06281769 nacompletednot on this mapstarted 2024, after this paper: background citation

Clinical Validation of Transrectal Multiparametric Ultrasound Imaging Strategy (PCaVision) for the Detection of Clinically Significant Prostate Cancer: a Head-to-head Comparison With the MRI-based Strategy

TypeinterventionalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2024 to 2025Enrolled467ConditionsProstate CancerArms3D multi-parametric ultrasound targeted biopsy pathway using PcaVision, MRI targeted biopsy pathway
NCT06935487 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Clinical Validation of Transrectal Multiparametric Ultrasound (PCaVision) for Detecting Clinically Significant Prostate Cancer: A European Head-to-Head Comparison With MRI in Primary Diagnosis and Active Surveillance Populations

TypeinterventionalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2025 to 2027Enrolled806ConditionsProstate CancerArmstransrectal ultrasound of prostate (TRUS) with AI software algorithm, MRI prostate
NCT06974539 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Optimization of PCaVision: A Prospective Study for CAD-based Detection of Clinically Significant Prostate Cancer Using mpUS and Contrast Agents

TypeinterventionalSponsorAcademisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)Ran2025 to 2026Enrolled212ConditionsProstate CancerArmsMultiparametric ultrasound with contrast (Sonovue and Optison)
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Innovations in prostate cancer: introductory editorial.The British journal of radiology · 2022
    Article
  7. 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

5 authors at 2 institutions in 2 countries.

Auke JagerDepartment of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-3937-7262
Joan C VilanovaDepartment of Radiology, Clinica Girona, Diagnostic Imaging Institute (IDI), University of Girona, Girona, Spain.
Massimo MichiLab of Biomedical Diagnostics, Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Hessel WijkstraDepartment of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
Jorg R OddensDepartment of Urology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
Amsterdam University Medical Centers · NLUniversitat de Girona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current recommendation in patients with a clinical suspicion for prostate cancer is to perform systematic biopsies extended with targeted biopsies, depending on mpMRI results. Following a positive mpMRI [i.e. Prostate Imaging Reporting and Data System (PI-RADS) ≥3], three targeted biopsy approaches can be performed: visual registration of the MRI images with real-time ultrasound imaging; software-assisted fusion of the MRI images and real-time ultrasound images, and in-bore biopsy within the MR scanner. This collaborative review discusses the advantages and disadvantages of each targeting approach and elaborates on future developments. Cancer detection rates seem to mostly depend on practitioner experience and selection criteria (biopsy naïve, previous negative biopsy, prostate-specific antigen (PSA) selection criteria, presence of a lesion on MRI), and to a lesser extent dependent on biopsy technique. There is no clear consensus on the optimal targeting approach. The choice of technique depends on local experience and availability of equipment, individual patient characteristics, and onsite cost-benefit analysis. Innovations in imaging techniques and software-based algorithms may lead to further improvements in this field.

Indexed as

Multiparametric Magnetic Resonance ImagingHumansImage-Guided BiopsyMagnetic Resonance Imaging, InterventionalMaleProstatic NeoplasmsUltrasonography, Interventional

Identifiers

PMID34324383
PMCPMC8978231
OpenAlexW3186665823

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.