Evidence map›Paper›PMID 20204639›Full record

ArticleEuropean radiology2010

Image fusion of coronary CT angiography and cardiac perfusion MRI: a pilot study.

Paul Stolzmann, Hatem Alkadhi, Hans Scheffel, Anja Hennemuth, Caroline Kuehnel, Stephan Baumueller, Sebastian Kozerke, Volkmar Falk, Borut Marincek, Olivio F Donati

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Article in European radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Cardiac hybrid imaging.European journal of nuclear medicine and molecular imaging · 2014
    Review
  7. Diagnosing coronary artery disease with hybrid PET/CT: it takes two to tango.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2013
    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

10 authors.

Paul StolzmannInstitute of Diagnostic Radiology, University Hospital Zurich, Zurich, Switzerland.
Hatem Alkadhi
Hans Scheffel
Anja Hennemuth
Caroline Kuehnel
Stephan Baumueller
Sebastian Kozerke
Volkmar Falk
Borut Marincek
Olivio F Donati

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a tool for the image fusion of computed tomography coronary angiography (CTCA) and cardiac magnetic resonance imaging (CMR).

methodsSurface representations and volume-rendered images from fused CTCA/CMR data of five patients with significant coronary artery disease (CAD) on CTCA and perfusion deficits on CMR were generated using a newly developed software prototype. The spatial relationship of significant coronary artery stenosis at CTCA and myocardial defects at CMR was evaluated.

resultsRegistration of CTCA and CMR images was possible in all patients. The comprehensive three-dimensional visualisation of fused CTCA and CMR data accurately demonstrated the relationship between coronary artery stenoses and myocardial defects in all patients.

conclusionThe introduced tool enables image fusion of CTCA and CMR data sets and allows for correct superposition of the coronary arteries derived from CTCA onto the corresponding myocardial segments derived from CMR. The method facilitates the comprehensive assessment of the functionally relevant CAD by the exact allocation of culprit coronary stenoses to corresponding myocardial defects at a low radiation dose.

Indexed as

AgedAlgorithmsCardiac-Gated Imaging TechniquesContrast MediaCoronary AngiographyCoronary Artery DiseaseElectrocardiographyFemaleHumansImage EnhancementImage Processing, Computer-AssistedImaging, Three-DimensionalIohexolMagnetic Resonance ImagingMaleMiddle AgedContrast MediaIohexoliopromide

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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.