Evidence map›Paper›PMID 32992306›Full record

ArticlePhysics in medicine and biology2020

Characterization of B

Lebina Shrestha Kakkar, Muhammad Usman, Simon Arridge, Alex Kirkham, David Atkinson

Open access · hybridAbstract read
In one paragraph

Article in Physics in medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Motion-robust proton density fat fraction andMagma (New York, N.Y.) · 2026
    Article
  2. Article
  3. Improving the Effective Spatial Resolution inLife (Basel, Switzerland) · 2023
    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 1 country.

Lebina Shrestha KakkarCentre for Medical Imaging, University College London, Foley Street, London, UK.
Muhammad UsmanCentre for Medical Imaging Computing, University College London, High Holborn, London, UK.ORCID 0000-0003-4743-4263
Simon ArridgeCentre for Medical Imaging Computing, University College London, High Holborn, London, UK.
Alex KirkhamRadiology Department, University College Hospital, Euston Road, London, UK.
David AtkinsonCentre for Medical Imaging, University College London, Foley Street, London, UK.ORCID 0000-0003-1124-6666
University College London · GBUniversity College Hospital · GB

Funding

Cancer Research UK 21099Cancer Research UK A21099Department of Health
6 · The paper itself

Abstract

Multi-parametric MRI is increasingly used for prostate cancer detection. Improving information from current sequences, such as T2-weighted and diffusion-weighted (DW) imaging, and additional sequences, such as magnetic resonance spectroscopy (MRS) and chemical exchange saturation transfer (CEST), may enhance the performance of multi-parametric MRI. The majority of these techniques are sensitive to B

Indexed as

HumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMovementPhantoms, ImagingProstate

Identifiers

PMID32992306
PMCPMC8528180
OpenAlexW3089998895

What OpenQuestion 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 OpenQuestion graph.