Evidence map›Paper›PMID 27569367›Full record

ArticleMagnetic resonance imaging2017

Reproducibility of cine displacement encoding with stimulated echoes (DENSE) in human subjects.

Kai Lin, Leng Meng, Jeremy D Collins, Varun Chowdhary, Michael Markl, James C Carr

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Myofiber strain in healthy humans using DENSE and cDTI.Magnetic resonance in medicine · 2021
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  14. Reproducibility of Left Ventricular CINE DENSE Strain in Pediatric Subjects with Duchenne Muscular Dystrophy.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2021
    Article
  15. 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
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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

6 authors.

Kai Lin *Department of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611.
Leng Meng *Department of Radiology, Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Jeremy D CollinsDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611.
Varun ChowdharyDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611.
Michael MarklDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611.
James C CarrDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Comprehensive Cardiac Structure-Function Analysis in Heart TransplantationR01HL117888 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CARR, JAMES, MARKL, MICHAEL · 2014 to 2025
$6.4M
Quantitative MRI for the assessment of subclinical CAD in T2DMK01HL121162 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LIN, KAI · 2015 to 2019
$800k
NCATS NIH HHS UL1 TR001422NHLBI NIH HHS K01 HL121162NHLBI NIH HHS R01 HL117888
6 · The paper itself

Abstract

objectivesTo test the hypothesis that two-dimensional (2D) displacement encoding via stimulated echoes (DENSE) is a reproducible technique for the depiction of segmental myocardial motion in human subjects. MATERIALS AND

methodsFollowing the approval of the institutional review board (IRB), 17 healthy volunteers without documented history of cardiovascular disease were recruited. For each participant, 2D DENSE were performed twice (at different days) and the images were obtained at basal, midventricular and apical levels of the left ventricle (LV) with a short-axis view. The radial thickening strain (Err), circumferential strain (Ecc), twist and torsion were calculated. The intra-, inter-observer and inter-study variations of DENSE-derived myocardial motion indices were evaluated using coefficient of variation (CoV) and intra-class correlation coefficient (ICC).

resultsIn total, there are 272 pairs of myocardial segments (data points) for comparison. There is good intra- and inter-observer reproducibility for all DENSE-derived measures in 17 participants. There is good inter-study reproducibility for peak Ecc (CoV=19.64%, ICC=0.8896, p<0.001), twist (CoV=33.11%, ICC=0.9135, p<0.001) and torsion (CoV=13.96%, ICC=0.8684, p<0.001). There is moderate inter-study reproducibility for Err (CoV=38.89%, ICC=0.7022, p<0.001).

conclusionDENSE is a reproducible technique for characterizing LV regional systolic myocardial motion on a per-segment basis in healthy volunteers.

Indexed as

FemaleHeart VentriclesHumansImage Processing, Computer-AssistedMagnetic Resonance Imaging, CineMaleMiddle AgedReference ValuesReproducibility of ResultsVentricular Function, LeftDENSEHuman subjectsMRIReproducibility

Identifiers

PMID27569367
PMCPMC5125889

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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.