Evidence map›Paper›PMID 39191529›Full record

ArticleNMR in biomedicine2024

Diffusion MRI in prostate cancer with ultra-strong whole-body gradients.

Malwina Molendowska, Marco Palombo, Kieran G Foley, Krishna Narahari, Fabrizio Fasano, Derek K Jones, Daniel C Alexander, Eleftheria Panagiotaki, Chantal M W Tax

Abstract read
In one paragraph

Article in NMR in biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Malwina MolendowskaCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK.ORCID 0000-0001-8540-8424
Marco PalomboCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK.ORCID 0000-0003-4892-7967
Kieran G FoleyDivision of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, UK.ORCID 0000-0002-1299-1759
Krishna NarahariCardiff and Vale University Health Board, Heath Park Campus, Cardiff, UK.ORCID 0000-0003-0257-7033
Fabrizio FasanoSiemens Healthcare Ltd, Camberley, UK.ORCID 0000-0001-6331-2958
Derek K JonesCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK.ORCID 0000-0003-4409-8049
Daniel C AlexanderCentre for Medical Image Computing, University College London, London, UK.ORCID 0000-0003-2439-350X
Eleftheria PanagiotakiCentre for Medical Image Computing, University College London, London, UK.ORCID 0000-0002-2697-3447
Chantal M W TaxCardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK.ORCID 0000-0002-7480-8817

Funding

Cancer Research Wales InnovationEngineering and Physical Sciences Research CouncilEPSRC EP/M029778/1EPSRC EP/N021967/1Nederlandse Organisatie voor Wetenschappelijk OnderzoekRoyal College of RadiologistsSiemens HealthcareSiemens HealthineersSir Henry Wellcome Fellowship 215944/Z/19/ZUK Research and InnovationUKRI Future Leaders Fellowship MR/T020296/2Veni 17331Wellcome Trust 104943Wellcome Trust 215944Wellcome Trust Investigator Award 096646/Z/11/ZWellcome Trust Strategic Award 104943/Z/14/Z
6 · The paper itself

Abstract

Diffusion-weighted MRI (dMRI) is universally recommended for the detection and classification of prostate cancer (PCa), with PI-RADS recommendations to acquire b-values of ≥1.4 ms/μm

Indexed as

Diffusion Magnetic Resonance ImagingProstatic NeoplasmsSignal-To-Noise RatioWhole Body ImagingAgedArtifactsHumansMaleMiddle Ageddiagnostic imagingdiffusion MRIhigh b‐valuesprostate cancerstrong gradients

Identifiers

PMID39191529
PMCPMC7617477

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.