Evidence map›Paper›PMID 29699001›Full record

ArticleBJU international2018

National implementation of multi-parametric magnetic resonance imaging for prostate cancer detection - recommendations from a UK consensus meeting.

Mrishta Brizmohun Appayya, Jim Adshead, Hashim U Ahmed, Clare Allen, Alan Bainbridge, Tristan Barrett, Francesco Giganti, John Graham, Phil Haslam, Edward W Johnston and 16 more

Abstract readConsensus Statement
In one paragraph

Article in BJU international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
–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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Biopsy strategies in the era of mpMRI: a comprehensive review.Prostate cancer and prostatic diseases · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Landmarks in the evolution of prostate biopsy.Nature reviews. Urology · 2023
    Review
  19. Article
  20. 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

26 authors.

Mrishta Brizmohun AppayyaCentre for Medical Imaging, University College London Hospitals NHS Foundation Trust, University College London, London, UK.
Jim AdsheadDepartment of Urology, Hertfordshire and Bedfordshire Urological Cancer Centre, Lister Hospital, Stevenage, Hertfordshire, UK.
Hashim U AhmedDivision of Surgery and Interventional Science, Faculty of Medical Sciences, University College London Hospitals NHS Foundation Trust, University College London, London, UK.
Clare AllenDepartment of Radiology, University College London Hospitals NHS Foundation Trust, University College London, London, UK.
Alan BainbridgeDepartment of Medical Physics, University College London Hospitals NHS Foundation Trust, University College London, London, UK.
Tristan BarrettDepartment of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
Francesco GigantiDivision of Surgery and Interventional Science, Faculty of Medical Sciences, University College London Hospitals NHS Foundation Trust, University College London, London, UK.
John GrahamSchool of Health and Related Research, University of Sheffield, Sheffield, UK.
Phil HaslamDepartment of Radiology, Freeman Hospital, Newcastle upon Tyne, UK.
Edward W JohnstonCentre for Medical Imaging, University College London Hospitals NHS Foundation Trust, University College London, London, UK.
Christof KastnerDepartment of Urology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.
Alexander P S KirkhamDepartment of Radiology, University College London Hospitals NHS Foundation Trust, University College London, London, UK.
Alexandra LiptonThe Society and College of Radiographers, London, UK.
Alan McNeillDepartment of Urology, NHS Lothian, Western General Hospital, Edinburgh, UK.
Larissa MonizProstate Cancer UK, London, UK.
Caroline M MooreDivision of Surgery, Department of Surgery and Cancer, Imperial College London and Imperial Urology, Imperial College Healthcare NHS Trust, London, UK.
Ghulam NabiDivision of Cancer Research, Ninewells Hospital, Dundee, UK.
Anwar R PadhaniPaul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, Middlesex, UK.
Chris ParkerDepartment of Academic Urology, Royal Marsden Hospital, Sutton, Surrey, UK.
Amit PatelDepartment of Radiology, Lister Hospital, Stevenage, Hertfordshire, UK.
Jacqueline PurseyDepartment of Radiology, Greater Glasgow and Clyde NHS Trust, Glasgow, UK.
Jonathan RichenbergDepartment of Radiology, Royal Sussex County Hospital Brighton and Brighton and Sussex Medical School, Brighton, Sussex, UK.
John StaffurthDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.
Jan van der MeulenLondon School of Hygiene and Tropical Medicine, London, UK.
Darren WallsDivision of Nuclear Medicine, University College London Hospitals NHS Foundation Trust, University College London, London, UK.
Shonit PunwaniCentre for Medical Imaging, University College London Hospitals NHS Foundation Trust, University College London, London, UK.ORCID 0000-0002-1014-0870

Funding

Cancer Research UK 16463Cancer Research UK 16465Wellcome Trust
6 · The paper itself

Abstract

objectivesTo identify areas of agreement and disagreement in the implementation of multi-parametric magnetic resonance imaging (mpMRI) of the prostate in the diagnostic pathway. MATERIALS AND

methodsFifteen UK experts in prostate mpMRI and/or prostate cancer management across the UK (involving nine NHS centres to provide for geographical spread) participated in a consensus meeting following the Research and Development Corporation and University of California-Los Angeles (UCLA-RAND) Appropriateness Method, and were moderated by an independent chair. The experts considered 354 items pertaining to who can request an mpMRI, prostate mpMRI protocol, reporting guidelines, training, quality assurance (QA) and patient management based on mpMRI levels of suspicion for cancer. Each item was rated for agreement on a 9-point scale. A panel median score of ≥7 constituted 'agreement' for an item; for an item to reach 'consensus', a panel majority scoring was required.

resultsConsensus was reached on 59% of items (208/354); these were used to provide recommendations for the implementation of prostate mpMRI in the UK. Key findings include prostate mpMRI requests should be made in consultation with the urological team; mpMRI scanners should undergo QA checks to guarantee consistently high diagnostic quality scans; scans should only be reported by trained and experienced radiologists to ensure that men with unsuspicious prostate mpMRI might consider avoiding an immediate biopsy.

conclusionsOur consensus statements demonstrate a set of criteria that are required for the practical dissemination of consistently high-quality prostate mpMRI as a diagnostic test before biopsy in men at risk.

Indexed as

Biopsy, NeedleContrast MediaEarly Detection of CancerEducation, MedicalHumansMagnetic Resonance ImagingMaleMiddle AgedProstateProstate-Specific AntigenProstatic NeoplasmsQuality of Health CareRadiologistsReferral and ConsultationResearch DesignTumor BurdenContrast MediaProstate-Specific Antigenconsensus methodsmulti-parametric MRIprostate cancerrecommendations

Identifiers

PMID29699001
PMCPMC6334741

What OpenQuestion holds

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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.