Evidence map›Paper›PMID 30694416›Full record

ArticleMagma (New York, N.Y.)2019

The feasibility of a novel limited field of view spiral cine DENSE sequence to assess myocardial strain in dilated cardiomyopathy.

Upasana Tayal, Ricardo Wage, Pedro Filipe Ferreira, Sonia Nielles-Vallespin, Frederick Howard Epstein, Daniel Auger, Xiaodong Zhong, Dudley John Pennell, David Nigel Firmin, Andrew David Scott and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Magma (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  3. Article
  4. Article
  5. Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    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

11 authors at 4 institutions in 2 countries.

Upasana TayalNational Heart Lung Institute, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-2262-4626
Ricardo WageCardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, SW3 6NP, UK.
Pedro Filipe FerreiraNational Heart Lung Institute, Imperial College London, London, UK.
Sonia Nielles-VallespinNational Heart Lung Institute, Imperial College London, London, UK.
Frederick Howard EpsteinBiomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Daniel AugerBiomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Xiaodong ZhongSiemens Healthcare, Atlanta, GA, USA.
Dudley John PennellNational Heart Lung Institute, Imperial College London, London, UK.
David Nigel FirminNational Heart Lung Institute, Imperial College London, London, UK.
Andrew David ScottNational Heart Lung Institute, Imperial College London, London, UK. a.scott@rbht.nhs.uk.
Sanjay Kumar PrasadNational Heart Lung Institute, Imperial College London, London, UK.
Royal Brompton Hospital · GBUniversity of Virginia · USNational Institutes of Health · USSiemens Healthcare (United States) · US

Funding

British Heart Foundation RG/19/1/34160Medical Research Council MR/M003191/1
6 · The paper itself

Abstract

objectiveDevelop an accelerated cine displacement encoding with stimulated echoes (DENSE) cardiovascular magnetic resonance (CMR) sequence to enable clinically feasible myocardial strain evaluation in patients with dilated cardiomyopathy (DCM). MATERIALS AND

methodsA spiral cine DENSE sequence was modified by limiting the field of view in two dimensions using in-plane slice-selective pulses in the stimulated echo. This reduced breath hold duration from 20RR to 14RR intervals. Following phantom and pilot studies, the feasibility of the sequence to assess peak radial, circumferential, and longitudinal strain was tested in control subjects (n = 18) and then applied in DCM patients (n = 29).

resultsDENSE acquisition was possible in all participants. Elements of the data were not analysable in 1 control (6%) and 4 DCM r(14%) subjects due to off-resonance or susceptibility artefacts and low signal-to-noise ratio. Peak radial, circumferential, short-axis contour strain and longitudinal strain was reduced in DCM patients (p < 0.001 vs. controls) and strain measurements correlated with left ventricular ejection fraction (with circumferential strain r = - 0.79, p < 0.0001; with vertical long-axis strain r = - 0.76, p < 0.0001). All strain measurements had good inter-observer agreement (ICC > 0.80), except peak radial strain. DISCUSSION: We demonstrate the feasibility of CMR strain assessment in healthy controls and DCM patients using an accelerated cine DENSE technique. This may facilitate integration of strain assessment into routine CMR studies.

Indexed as

Magnetic Resonance Imaging, CineAdultAgedBreath HoldingCardiomyopathy, DilatedCase-Control StudiesCohort StudiesComputer SimulationFeasibility StudiesFemaleHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleMiddle AgedMyocardial ContractionCardiovascular magnetic resonanceDENSEDilated cardiomyopathyFunctionStrainText

Identifiers

PMID30694416
PMCPMC6525145
OpenAlexW2912275025

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.