Evidence map›Paper›PMID 31356111›Full record

ArticleThe British journal of radiology2019

Association analysis between quantitative MRI features and hypoxia-related genetic profiles in prostate cancer: a pilot study.

Yu Sun, Scott Williams, David Byrne, Simon Keam, Hayley M Reynolds, Catherine Mitchell, Darren Wraith, Declan Murphy, Annette Haworth

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2019. 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
2.6field-weighted citation impact, top 11% 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, 29 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Quantitative Prostate MRI, From theAJR. American journal of roentgenology · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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  14. Article
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  17. Prostate Cancer Radiogenomics-From Imaging to Molecular Characterization.International journal of molecular sciences · 2021
    Review
  18. Review
  19. Review
  20. Conspicuity of prostate cancer on multiparametric magnetic resonance imaging: A cross-disciplinary translational hypothesis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2020
    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 at 4 institutions in 1 country.

Yu SunThe University of Sydney, Sydney, New South Wales, Australia.
Scott WilliamsThe Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.
David ByrnePeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Simon KeamPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Hayley M ReynoldsThe Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.
Catherine MitchellPeter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Darren WraithQueensland University of Technology, Brisbane, Queensland, Australia.
Declan MurphyThe Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia.
Annette HaworthThe University of Sydney, Sydney, New South Wales, Australia.
Peter MacCallum Cancer Centre · AUQueensland University of Technology · AUUniversity of Melbourne · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the association between multiparametric MRI (mpMRI) imaging features and hypoxia-related genetic profiles in prostate cancer.

methods

resultsCorrelation analysis identified 34 candidate imaging features (six from the mpMRI data and 28 from

conclusionsWeak associations between mpMRI features and hypoxia gene expressions were found. This indicates the potential use of MRI in assessing hypoxia status in prostate cancer. Further validation is required due to the low correlation levels. ADVANCES IN KNOWLEDGE: This is a pilot study using radiogenomics approaches to address hypoxia within the prostate, which provides an opportunity for hypoxia-guided selective treatment techniques.

Indexed as

AgedDiffusion Magnetic Resonance ImagingGene ExpressionGene Expression ProfilingHumansMaleMiddle AgedPilot ProjectsProstatic NeoplasmsTumor Hypoxia

Identifiers

PMID31356111
PMCPMC6913351
OpenAlexW2965357291

What OpenQuestion holds

Textmetadata
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.