Evidence map›Paper›PMID 36810476›Full record

ArticleScientific reports2023

Joint estimation of relaxation and diffusion tissue parameters for prostate cancer with relaxation-VERDICT MRI.

Marco Palombo, Vanya Valindria, Saurabh Singh, Eleni Chiou, Francesco Giganti, Hayley Pye, Hayley C Whitaker, David Atkinson, Shonit Punwani, Daniel C Alexander and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Guideline
  2. Observational
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  15. Joint estimation of compartment-specific TMagnetic resonance in medicine · 2025
    Article
  16. Article
  17. Article
  18. MRI-based virtual pathology of the prostate.Magma (New York, N.Y.) · 2024
    Review
  19. Review
  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

11 authors at 2 institutions in 1 country.

Marco PalomboCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK. palombom@cardiff.ac.uk.
Vanya ValindriaCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Saurabh SinghCentre for Medical Imaging, University College London, London, UK.
Eleni ChiouCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Francesco GigantiDivision of Surgery and Interventional Science, University College London, London, UK.
Hayley PyeMolecular Diagnostics and Therapeutics Group, Division of Surgery & Interventional Science, University College London, London, UK.
Hayley C WhitakerMolecular Diagnostics and Therapeutics Group, Division of Surgery & Interventional Science, University College London, London, UK.
David AtkinsonCentre for Medical Imaging, University College London, London, UK.
Shonit PunwaniCentre for Medical Imaging, University College London, London, UK.
Daniel C AlexanderCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
Eleftheria PanagiotakiCentre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
University College London · GBUniversity College London Hospitals NHS Foundation Trust · GB

Funding

Medical Research Council MR/T020296/1
6 · The paper itself

Abstract

This work presents a biophysical model of diffusion and relaxation MRI for prostate called relaxation vascular, extracellular and restricted diffusion for cytometry in tumours (rVERDICT). The model includes compartment-specific relaxation effects providing T1/T2 estimates and microstructural parameters unbiased by relaxation properties of the tissue. 44 men with suspected prostate cancer (PCa) underwent multiparametric MRI (mp-MRI) and VERDICT-MRI followed by targeted biopsy. We estimate joint diffusion and relaxation prostate tissue parameters with rVERDICT using deep neural networks for fast fitting. We tested the feasibility of rVERDICT estimates for Gleason grade discrimination and compared with classic VERDICT and the apparent diffusion coefficient (ADC) from mp-MRI. The rVERDICT intracellular volume fraction f

Indexed as

Multiparametric Magnetic Resonance ImagingProstatic NeoplasmsDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingMaleNeoplasm GradingProstate

Identifiers

PMID36810476
PMCPMC9943845
OpenAlexW4321455381

What Socratic 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 Socratic graph.