Evidence map›Paper›PMID 38780764›Full record

ReviewEuropean radiology2024

ESR Essentials: using the right scoring system in prostate MRI-practice recommendations by ESUR.

Andrea Ponsiglione, Giorgio Brembilla, Renato Cuocolo, Patricia Gutierrez, Ana Sofia Moreira, Martina Pecoraro, Jeries Zawaideh, Jelle Barentsz, Francesco Giganti, Anwar R Padhani and 3 more

Abstract readReview
In one paragraph

Review in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. The evolving PI-RADS paradigm.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. 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

13 authors.

Andrea Ponsiglione *Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy. andrea.ponsiglione@unina.it.ORCID http://orcid.org/0000-0002-0105-935X
Giorgio Brembilla *Department of Radiology, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Renato CuocoloDepartment of Medicine, Surgery and Dentistry, University of Salerno, Baronissi, Italy.
Patricia GutierrezDepartment of Radiology, CH Dunkerque, Dunkirk, France.
Ana Sofia MoreiraDepartment of Radiology, Centro Hospitalar Universitário do Algarve, Unidade de Faro, Faro, Portugal.
Martina PecoraroDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.
Jeries ZawaidehDepartment of Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Jelle BarentszImaging Department Andros Clinics, Arnhem, The Netherlands.
Francesco GigantiDepartment of Radiology, University College London Hospital NHS Foundation Trust, London, UK.
Anwar R PadhaniPaul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, UK.
Valeria PanebiancoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.
Philippe PuechDepartment of radiology, U1189 - ONCO-THAI - Image Assisted Laser Therapy for Oncology, University of Lille Inserm, CHU Lille, Lille, France.
Geert VilleirsDepartment of Medical Imaging, Ghent University Hospital, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MRI has gained prominence in the diagnostic workup of prostate cancer (PCa) patients, with the Prostate Imaging Reporting and Data System (PI-RADS) being widely used for cancer detection. Beyond PI-RADS, other MRI-based scoring tools have emerged to address broader aspects within the PCa domain. However, the multitude of available MRI-based grading systems has led to inconsistencies in their application within clinical workflows. The Prostate Cancer Radiological Estimation of Change in Sequential Evaluation (PRECISE) assesses the likelihood of clinically significant radiological changes of PCa during active surveillance, and the Prostate Imaging for Local Recurrence Reporting (PI-RR) scoring system evaluates the risk of local recurrence after whole-gland therapies with curative intent. Underlying any system is the requirement to assess image quality using the Prostate Imaging Quality Scoring System (PI-QUAL). This article offers practicing radiologists a comprehensive overview of currently available scoring systems with clinical evidence supporting their use for managing PCa patients to enhance consistency in interpretation and facilitate effective communication with referring clinicians. KEY POINTS: Assessing image quality is essential for all prostate MRI interpretations and the PI-QUAL score represents  the standardized tool for this purpose. Current urological clinical guidelines for prostate cancer diagnosis and localization recommend adhering to the PI-RADS recommendations. The PRECISE and PI-RR scoring systems can be used for assessing radiological changes of prostate cancer during active surveillance and the likelihood of local recurrence after radical treatments respectively.

Indexed as

Magnetic Resonance ImagingProstatic NeoplasmsHumansMaleNeoplasm GradingNeoplasm Recurrence, LocalPractice Guidelines as TopicClassification; managementMagnetic resonance imagingProstate cancerStandardization

Identifiers

PMID38780764
PMCPMC11519295

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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.