Evidence map›Paper›PMID 34165670›Full record

ArticleMagma (New York, N.Y.)2021

Evaluation of accelerated motion-compensated 3d water/fat late gadolinium enhanced MR for atrial wall imaging.

Camila Munoz, Iain Sim, Radhouene Neji, Karl P Kunze, Pier-Giorgio Masci, Michaela Schmidt, Mark O'Neill, Steven Williams, René M Botnar, Claudia Prieto

Abstract read
In one paragraph

Article in Magma (New York, N.Y.), 2021. 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. Trial
  2. 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.

Camila MunozSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, 3rd Floor, Lambeth Wing, London, SE1 7EH, UK. camila.munoz@kcl.ac.uk.ORCID http://orcid.org/0000-0001-5278-4546
Iain SimSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, 3rd Floor, Lambeth Wing, London, SE1 7EH, UK.
Radhouene NejiSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, 3rd Floor, Lambeth Wing, London, SE1 7EH, UK.
Karl P KunzeMR Research Collaborations, Siemens Healthcare Limited, Frimley, UK.
Pier-Giorgio MasciSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, 3rd Floor, Lambeth Wing, London, SE1 7EH, UK.
Michaela SchmidtCardiovascular MR Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Mark O'NeillSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, 3rd Floor, Lambeth Wing, London, SE1 7EH, UK.
Steven WilliamsSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, 3rd Floor, Lambeth Wing, London, SE1 7EH, UK.
René M BotnarSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, 3rd Floor, Lambeth Wing, London, SE1 7EH, UK.
Claudia PrietoSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, 3rd Floor, Lambeth Wing, London, SE1 7EH, UK.

Funding

British Heart Foundation FS/20/26/34952British Heart Foundation PG/19/44/34368British Heart Foundation RG/20/1/34802Engineering and Physical Sciences Research Council EP/P001009/1Engineering and Physical Sciences Research Council EP/P007619/1Engineering and Physical Sciences Research Council EP/P032311/1Medical Research Council MR/L009676/1National Institute for Health Research Cardiovascular Health Technology CooperativeWellcome TrustWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

objective3D late gadolinium enhancement (LGE) imaging is a promising non-invasive technique for the assessment of atrial fibrosis. However, current techniques result in prolonged and unpredictable scan times and high rates of non-diagnostic images. The purpose of this study was to compare the performance of a recently proposed accelerated respiratory motion-compensated 3D water/fat LGE technique with conventional 3D LGE for atrial wall imaging. MATERIALS AND

methods18 patients (age: 55.7±17.1 years) with atrial fibrillation underwent conventional diaphragmatic navigator gated inversion recovery (IR)-prepared 3D LGE (dNAV) and proposed image-navigator motion-corrected water/fat IR-prepared 3D LGE (iNAV) imaging. Images were assessed for image quality and presence of fibrosis by three expert observers. The scan time for both techniques was recorded.

resultsImage quality scores were improved with the proposed compared to the conventional method (iNAV: 3.1 ± 1.0 vs. dNAV: 2.6 ± 1.0, p = 0.0012, with 1: Non-diagnostic to 4: Full diagnostic). Furthermore, scan time for the proposed method was significantly shorter with a 59% reduction is scan time (4.5 ± 1.2 min vs. 10.9 ± 3.9 min, p < 0.0001). The images acquired with the proposed method were deemed as inconclusive less frequently than the conventional images (expert 1/expert 2: 4/7 dNAV and 2/4 iNAV images inconclusive). DISCUSSION: The motion-compensated water/fat LGE method enables atrial wall imaging with diagnostic quality comparable to the current conventional approach with a significantly shorter scan of about 5 min.

Indexed as

Contrast MediaGadoliniumAdultAgedHumansImaging, Three-DimensionalMagnetic Resonance ImagingMiddle AgedWaterContrast MediaGadoliniumWater3D atrial LGERespiratory motion-correctionWater/fat LGE

Identifiers

PMID34165670
PMCPMC8578113

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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.