Evidence map›Paper›PMID 34024276›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2021

3D whole-heart grey-blood late gadolinium enhancement cardiovascular magnetic resonance imaging.

Giorgia Milotta, Camila Munoz, Karl P Kunze, Radhouene Neji, Stefano Figliozzi, Amedeo Chiribiri, Reza Hajhosseiny, Pier Giorgio Masci, Claudia Prieto, René M Botnar

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Applications of multimodality imaging for left atrial catheter ablation.European heart journal. Cardiovascular Imaging · 2021
    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 at 1 institution in 2 countries.

Giorgia MilottaSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK. giorgia.milotta@kcl.ac.uk.ORCID 0000-0002-3403-3754
Camila MunozSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
Karl P KunzeSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
Radhouene NejiSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
Stefano FigliozziSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
Amedeo ChiribiriSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
Reza HajhosseinySchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
Pier Giorgio MasciSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
Claudia Prieto *School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
René M Botnar *School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital (3rd Floor - Lambeth Wing), Westminster Bridge Road, London, SE1 7EH, UK.
St Thomas' Hospital · GB

Funding

British Heart Foundation FS/CRTF/20/24011British Heart Foundation RE/18/2/34213British Heart Foundation RG/20/1/34802Department of HealthMedical Research Council MR/L009676/1
6 · The paper itself

Abstract

purposeTo develop a free-breathing whole-heart isotropic-resolution 3D late gadolinium enhancement (LGE) sequence with Dixon-encoding, which provides co-registered 3D grey-blood phase-sensitive inversion-recovery (PSIR) and complementary 3D fat volumes in a single scan of < 7 min.

methodsA free-breathing 3D PSIR LGE sequence with dual-echo Dixon readout with a variable density Cartesian trajectory with acceleration factor of 3 is proposed. Image navigators are acquired to correct both inversion recovery (IR)-prepared and reference volumes for 2D translational respiratory motion, enabling motion compensated PSIR reconstruction with 100% respiratory scan efficiency. An intermediate PSIR reconstruction is performed between the in-phase echoes to estimate the signal polarity which is subsequently applied to the IR-prepared water volume to generate a water grey-blood PSIR image. The IR-prepared water volume is obtained using a water/fat separation algorithm from the corresponding dual-echo readout. The complementary fat-volume is obtained after water/fat separation of the reference volume. Ten patients (6 with myocardial scar) were scanned with the proposed water/fat grey-blood 3D PSIR LGE sequence at 1.5 T and compared to breath-held grey-blood 2D LGE sequence in terms of contrast ratio (CR), contrast-to-noise ratio (CNR), scar depiction, scar transmurality, scar mass and image quality.

resultsComparable CRs (p = 0.98, 0.40 and 0.83) and CNRs (p = 0.29, 0.40 and 0.26) for blood-myocardium, scar-myocardium and scar-blood respectively were obtained with the proposed free-breathing 3D water/fat LGE and 2D clinical LGE scan. Excellent agreement for scar detection, scar transmurality, scar mass (bias = 0.29%) and image quality scores (from 1: non-diagnostic to 4: excellent) of 3.8 ± 0.42 and 3.6 ± 0.69 (p > 0.99) were obtained with the 2D and 3D PSIR LGE approaches with comparable total acquisition time (p = 0.29). Similar agreement in intra and inter-observer variability were obtained for the 2D and 3D acquisition respectively.

conclusionThe proposed approach enabled the acquisition of free-breathing motion-compensated isotropic-resolution 3D grey-blood PSIR LGE and fat volumes. The proposed approach showed good agreement with conventional 2D LGE in terms of CR, scar depiction and scan time, while enabling free-breathing acquisition, whole-heart coverage, reformatting in arbitrary views and visualization of both water and fat information.

Indexed as

Contrast MediaGadoliniumHumansImage EnhancementImaging, Three-DimensionalMagnetic Resonance ImagingPredictive Value of TestsReproducibility of ResultsContrast MediaGadolinium3D whole-heartDixon water/fat separationLate gadolinium enhancementRespiratory motion correction

Identifiers

PMID34024276
PMCPMC8142497
OpenAlexW3165655918

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.