Evidence map›Paper›PMID 33317570›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2020

Accelerated high-resolution free-breathing 3D whole-heart T

Teresa Correia, Giulia Ginami, Imran Rashid, Giovanna Nordio, Reza Hajhosseiny, Tevfik F Ismail, Radhouene Neji, René M Botnar, Claudia Prieto

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 2021 - State of our JCMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  5. Article
  6. Cardiac MR: From Theory to Practice.Frontiers in cardiovascular medicine · 2022
    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

9 authors at 1 institution in 2 countries.

Teresa CorreiaSchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK. teresa.correia@kcl.ac.uk.ORCID 0000-0002-1606-9550
Giulia GinamiSchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK.
Imran RashidSchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK.
Giovanna NordioSchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK.
Reza HajhosseinySchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK.
Tevfik F IsmailSchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK.
Radhouene NejiSchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK.
René M BotnarSchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK.
Claudia PrietoSchool of Biomedical Engineering and Imaging Sciences, King's College London, Lambeth Wing, St Thomas' Hospital, London, UK.
St Thomas' Hospital · GB

Funding

British Heart Foundation PG/18/59/3395British Heart Foundation PG/18/59/33955Department of HealthWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

backgroundThe free-breathing 3D whole-heart T

methodsIn this work, we propose to extend a highly efficient respiratory-resolved motion-corrected reconstruction framework (XD-ORCCA) to T

resultsThe proposed method produces images from 3.8 × accelerated non-contrast-enhanced BOOST acquisitions with comparable vessel length and sharpness to those obtained from fully- sampled scans in healthy subjects. Moreover, in terms of visual grading, the 3D BOOST LGE datasets (median 4) and the clinical 2D counterpart (median 3.5) were found to be statistically equivalent (p < 0.05). In addition, bright-blood BOOST images allowed for visualization of the proximal and middle left anterior descending and right coronary sections with high diagnostic quality (mean score > 3.5).

conclusionsThe proposed framework provides high-resolution 3D whole-heart BOOST images from a single free-breathing acquisition in ~ 7 min.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingAdultAgedAged, 80 and overCase-Control StudiesContrast MediaCoronary VesselsFemaleFibrosisHeart DiseasesHumansMaleMiddle AgedMyocardiumPredictive Value of TestsContrast MediaBlack-bloodCompressed sensingCoronary magnetic resonance angiography (CMRA)Image navigatorLate gadolinium enhancement (LGE)Respiratory motion compensation

Identifiers

PMID33317570
PMCPMC7737390
OpenAlexW3113111979

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.