Evidence map›Paper›PMID 31597563›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2019

Improved co-registration of ex-vivo and in-vivo cardiovascular magnetic resonance images using heart-specific flexible 3D printed acrylic scaffold combined with non-rigid registration.

John Whitaker, Radhouene Neji, Nicholas Byrne, Esther Puyol-Antón, Rahul K Mukherjee, Steven E Williams, Henry Chubb, Louisa O'Neill, Orod Razeghi, Adam Connolly and 10 more

Abstract readComparative Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Additional coils mitigate elevated defibrillation threshold in right-sided implantable cardioverter defibrillator generator placement: a simulation study.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
  4. Optimization of anti-tachycardia pacing efficacy through scar-specific delivery and minimization of re-initiation: a virtual study on a cohort of infarcted porcine hearts.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2023
    Article
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  8. Review
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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

20 authors.

John WhitakerSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK. john.whitaker@kcl.ac.uk.ORCID 0000-0002-5361-5725
Radhouene NejiSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Nicholas ByrneSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Esther Puyol-AntónSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Rahul K MukherjeeSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Steven E WilliamsSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Henry ChubbSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Louisa O'NeillSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Orod RazeghiSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Adam ConnollySchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Kawal RhodeSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Steven NiedererSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Andrew KingSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Cory TschabrunnCardiology Department, University of Pennsylvania, Philadelphia, PA, USA.
Elad AnterCardiology Department, Beth Israel Deaconess Medical Centre / Harvard Medical School, Boston, MA, USA.
Reza NezafatCardiology Department, Beth Israel Deaconess Medical Centre / Harvard Medical School, Boston, MA, USA.
Martin J BishopSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Mark O'NeillSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Reza RazaviSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.
Sébastien RoujolSchool of Biomedical Engineering and Imaging Sciences, King's College, London, Fourth Floor Lambeth Wing, St Thomas' Hospital, London, SE1 7EH, UK.

Funding

Cardiovascular MRI Characterization of the Arrhythmogenic Heart in Nonischemic CardiomyopathyR01HL129185 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI NEZAFAT, REZA · 2015 to 2024
$6.4M
British Heart Foundation FS/18/27/33543Department of HealthMedical Research Council MR/N001877/1Medical Research Council (GB) MR/N001877/1NHLBI NIH HHS R01 HL129185Wellcome Trust (GB) WT 203148/Z/16/Z
6 · The paper itself

Abstract

backgroundEx-vivo cardiovascular magnetic resonance (CMR) imaging has played an important role in the validation of in-vivo CMR characterization of pathological processes. However, comparison between in-vivo and ex-vivo imaging remains challenging due to shape changes occurring between the two states, which may be non-uniform across the diseased heart. A novel two-step process to facilitate registration between ex-vivo and in-vivo CMR was developed and evaluated in a porcine model of chronic myocardial infarction (MI).

methodsSeven weeks after ischemia-reperfusion MI, 12 swine underwent in-vivo CMR imaging with late gadolinium enhancement followed by ex-vivo CMR 1 week later. Five animals comprised the control group, in which ex-vivo imaging was undertaken without any support in the LV cavity, 7 animals comprised the experimental group, in which a two-step registration optimization process was undertaken. The first step involved a heart specific flexible 3D printed scaffold generated from in-vivo CMR, which was used to maintain left ventricular (LV) shape during ex-vivo imaging. In the second step, a non-rigid co-registration algorithm was applied to align in-vivo and ex-vivo data. Tissue dimension changes between in-vivo and ex-vivo imaging were compared between the experimental and control group. In the experimental group, tissue compartment volumes and thickness were compared between in-vivo and ex-vivo data before and after non-rigid registration. The effectiveness of the alignment was assessed quantitatively using the DICE similarity coefficient.

resultsLV cavity volume changed more in the control group (ratio of cavity volume between ex-vivo and in-vivo imaging in control and experimental group 0.14 vs 0.56, p < 0.0001) and there was a significantly greater change in the short axis dimensions in the control group (ratio of short axis dimensions in control and experimental group 0.38 vs 0.79, p < 0.001). In the experimental group, prior to non-rigid co-registration the LV cavity contracted isotropically in the ex-vivo condition by less than 20% in each dimension. There was a significant proportional change in tissue thickness in the healthy myocardium (change = 29 ± 21%), but not in dense scar (change = - 2 ± 2%, p = 0.034). Following the non-rigid co-registration step of the process, the DICE similarity coefficients for the myocardium, LV cavity and scar were 0.93 (±0.02), 0.89 (±0.01) and 0.77 (±0.07) respectively and the myocardial tissue and LV cavity volumes had a ratio of 1.03 and 1.00 respectively.

conclusionsThe pattern of the morphological changes seen between the in-vivo and the ex-vivo LV differs between scar and healthy myocardium. A 3D printed flexible scaffold based on the in-vivo shape of the LV cavity is an effective strategy to minimize morphological changes in the ex-vivo LV. The subsequent non-rigid registration step further improved the co-registration and local comparison between in-vivo and ex-vivo data.

Indexed as

Magnetic Resonance ImagingModels, AnatomicModels, CardiovascularPrinting, Three-DimensionalAnimalsChronic DiseaseDisease Models, AnimalMyocardial InfarctionMyocardial Reperfusion InjuryMyocardiumPliabilityPredictive Value of TestsReproducibility of ResultsSus scrofaVentricular Function, LeftVentricular Remodeling3D printingCo-registrationEx-vivo CMRScar imaging

Identifiers

PMID31597563
PMCPMC6785908

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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.