Evidence map›Paper›PMID 32426854›Full record

ArticleMagnetic resonance in medicine2020

Pixel-wise assessment of cardiovascular magnetic resonance first-pass perfusion using a cardiac phantom mimicking transmural myocardial perfusion gradients.

Xenios Milidonis, Muhummad Sohaib Nazir, Torben Schneider, Myles Capstick, Sita Drost, Gertjan Kok, Nikola Pelevic, Christian Poelma, Tobias Schaeffter, Amedeo Chiribiri

Abstract read
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Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Xenios MilidonisSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0002-5446-9459
Muhummad Sohaib NazirSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-2749-1033
Torben SchneiderSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-4130-7220
Myles CapstickZMT Zurich MedTech AG, Zurich, Switzerland.ORCID 0000-0002-5751-418X
Sita DrostLaboratory for Aero- and Hydrodynamics, Technische Universiteit Delft, Delft, Netherlands.ORCID 0000-0002-4323-235X
Gertjan KokVSL B.V., Delft, Netherlands.
Nikola PelevicVSL B.V., Delft, Netherlands.
Christian PoelmaLaboratory for Aero- and Hydrodynamics, Technische Universiteit Delft, Delft, Netherlands.ORCID 0000-0001-8676-9221
Tobias SchaeffterPhysikalisch-Technische Bundesanstalt, Berlin, Germany.ORCID 0000-0003-1310-2631
Amedeo ChiribiriSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.ORCID 0000-0003-3394-4289

Funding

British Heart Foundation TG/18/2/33768European Association of National Metrology Institutes 15HLT05Medical Research Council MR/P01979X/1UK Medical Research Council MR/P01979X/1Wellcome Trust 203148Wellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

purposeCardiovascular magnetic resonance first-pass perfusion for the pixel-wise detection of coronary artery disease is rapidly becoming the clinical standard, yet no widely available method exists for its assessment and validation. This study introduces a novel phantom capable of generating spatially dependent flow values to enable assessment of new perfusion imaging methods at the pixel level.

methodsA synthetic multicapillary myocardial phantom mimicking transmural myocardial perfusion gradients was designed and manufactured with high-precision 3D printing. The phantom was used in a stationary flow setup providing reference myocardial perfusion rates and was scanned on a 3T system. Repeated first-pass perfusion MRI for physiological perfusion rates between 1 and 4 mL/g/min was performed using a clinical dual-sequence technique. Fermi function-constrained deconvolution was used to estimate pixel-wise perfusion rate maps. Phase contrast (PC)-MRI was used to obtain velocity measurements that were converted to perfusion rates for validation of reference values and cross-method comparison. The accuracy of pixel-wise maps was assessed against simulated reference maps.

resultsPC-MRI indicated excellent reproducibility in perfusion rate (coefficient of variation [CoV] 2.4-3.5%) and correlation with reference values (R

conclusionThe unique transmural perfusion pattern in the phantom allows effective pixel-wise assessment of first-pass perfusion acquisition protocols and quantification algorithms before their introduction into routine clinical use.

Indexed as

Coronary Artery DiseaseEquipment DesignHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMyocardial Perfusion ImagingPhantoms, ImagingPrinting, Three-DimensionalReproducibility of Resultscardiovascular magnetic resonancemyocardial blood flowmyocardial perfusionphantomquality assurancetransmural gradients

Identifiers

PMID32426854
PMCPMC7611223

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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.