Evidence map›Paper›PMID 29782598›Full record

ArticleEuropean journal of hybrid imaging2017

Feasibility of simultaneous PET-MR perfusion using a novel cardiac perfusion phantom.

Jim O'Doherty, Eva Sammut, Paul Schleyer, James Stirling, Muhummad Sohaib Nazir, Paul K Marsden, Amedeo Chiribiri

Abstract read
In one paragraph

Article in European journal of hybrid imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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

7 authors.

Jim O'Doherty1Division of Imaging Sciences and Biomedical Engineering, PET Imaging Centre, King's College London, St. Thomas' Hospital, 1st Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH UK.ORCID 0000-0003-2989-4485
Eva Sammut2Division of Imaging Sciences, King's College London, Wellcome Trust/EPSRC Medical Engineering Centre, St. Thomas' Hospital, London, UK.
Paul Schleyer4Siemens Healthcare Limited, Frimley, Camberley, UK.
James Stirling1Division of Imaging Sciences and Biomedical Engineering, PET Imaging Centre, King's College London, St. Thomas' Hospital, 1st Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH UK.
Muhummad Sohaib Nazir2Division of Imaging Sciences, King's College London, Wellcome Trust/EPSRC Medical Engineering Centre, St. Thomas' Hospital, London, UK.
Paul K Marsden1Division of Imaging Sciences and Biomedical Engineering, PET Imaging Centre, King's College London, St. Thomas' Hospital, 1st Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH UK.
Amedeo Chiribiri2Division of Imaging Sciences, King's College London, Wellcome Trust/EPSRC Medical Engineering Centre, St. Thomas' Hospital, London, UK.

Funding

Medical Research Council MR/P01979X/1Wellcome Trust
6 · The paper itself

Abstract

backgroundPET-MR scanners are beginning to be employed for quantitative myocardial perfusion imaging. In order to examine simultaneous perfusion calculations, this work describes a feasibility study of simultaneous PET-MR of gadolinium-based contrast agent (GBCA) and PET radiotracer in a novel cardiac perfusion phantom.

results[

conclusionsThe perfusion phantom allows accurate and reproducible simulation of the myocardial kinetics for simultaneous PET-MR imaging, and may find use in protocol design and development of PET-MR based quantification techniques and direct comparison of quantification of the two modalities.

Indexed as

CardiologyFlowPerfusionPET-MR

Identifiers

PMID29782598
PMCPMC5954708

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Registered trials

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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.