Evidence map›Paper›PMID 22532435›Full record

ArticleMagnetic resonance in medicine2013

Perfusion phantom: An efficient and reproducible method to simulate myocardial first-pass perfusion measurements with cardiovascular magnetic resonance.

Amedeo Chiribiri, Andreas Schuster, Masaki Ishida, Gilion Hautvast, Niloufar Zarinabad, Geraint Morton, James Otton, Sven Plein, Marcel Breeuwer, Philip Batchelor and 2 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. SimultaneousEuropean journal of hybrid imaging · 2019
    Article
  12. Imaging the myocardial ischemic cascade.The international journal of cardiovascular imaging · 2018
    Review
  13. Article
  14. Article
  15. Article
  16. Effect of Bayesian-penalized likelihood reconstruction on [13N]-NH3 rest perfusion quantification.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017
    Article
  17. Article
  18. Article
  19. Perfusion dyssynchrony analysis.European heart journal. Cardiovascular Imaging · 2016
    Article
  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

12 authors.

Amedeo ChiribiriDivision of Imaging Sciences, King's College London BHF Centre of Excellence, NIHR Biomedical Research Centre and Wellcome Trust and EPSRC Medical Engineering Centre at Guy's and St Thomas' NHS Foundation Trust, The Rayne Institute, London, United Kingdom. amedeo.chiribiri@kcl.ac.uk
Andreas Schuster
Masaki Ishida
Gilion Hautvast
Niloufar Zarinabad
Geraint Morton
James Otton
Sven Plein
Marcel Breeuwer
Philip Batchelor
Tobias Schaeffter
Eike Nagel

Funding

British Heart Foundation FS/10/029/28253British Heart Foundation FS/10/62/28409British Heart Foundation RE/08/003Wellcome TrustWellcome Trust WT 088641/Z/09/Z
6 · The paper itself

Abstract

The aim of this article is to describe a novel hardware perfusion phantom that simulates myocardial first-pass perfusion allowing comparisons between different MR techniques and validation of the results against a true gold standard. MR perfusion images were acquired at different myocardial perfusion rates and variable doses of gadolinium and cardiac output. The system proved to be sensitive to controlled variations of myocardial perfusion rate, contrast agent dose, and cardiac output. It produced distinct signal intensity curves for perfusion rates ranging from 1 to 10 mL/mL/min. Quantification of myocardial blood flow by signal deconvolution techniques provided accurate measurements of perfusion. The phantom also proved to be very reproducible between different sessions and different operators. This novel hardware perfusion phantom system allows reliable, reproducible, and efficient simulation of myocardial first-pass MR perfusion. Direct comparison between the results of image-based quantification and reference values of flow and myocardial perfusion will allow development and validation of accurate quantification methods.

Indexed as

Phantoms, ImagingEquipment DesignEquipment Failure AnalysisHumansMagnetic Resonance AngiographyMagnetic Resonance Imaging, CineMyocardial Perfusion ImagingReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID22532435
PMCPMC3593172

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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.