Evidence map›Paper›PMID 27038246›Full record

ArticleJournal of magnetic resonance imaging : JMRI2016

Preliminary investigation of multiparametric strain Z-score (MPZS) computation using displacement encoding with simulated echoes (DENSE) and radial point interpretation method (RPIM).

Julia Kar, Brian Cupps, Xiaodong Zhong, Danielle Koerner, Kevin Kulshrestha, Samuel Neudecker, Jennifer Bell, Heidi Craddock, Michael Pasque

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Julia KarDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA. karj@wudosis.wustl.edu.
Brian CuppsDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
Xiaodong ZhongDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
Danielle KoernerDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
Kevin KulshresthaDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
Samuel NeudeckerDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
Jennifer BellDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
Heidi CraddockDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
Michael PasqueDepartment of Surgery, School of Medicine, Washington University, St. Louis, Missouri, USA.
Washington University in St. Louis · US

Funding

BASIC SCIENCE RESEARCH TRAINING: CARDIOPULMONARY SURGERYT32HL007776 · NHLBI · WASHINGTON UNIVERSITY · PI DAMIANO, RALPH J · 1994 to 2020
$4.6M
REGIONAL VENTRICULAR STRAIN METRICS TO PREDICT NEW-ONSET HEART FAILURE COURSER01HL112804 · NHLBI · WASHINGTON UNIVERSITY · PI PASQUE, MICHAEL K · 2012 to 2016
$1.9M
NHLBI NIH HHS R01 HL112804
6 · The paper itself

Abstract

purposeTo describe and assess an automated normalization method for identifying sentinel (septal) regions of myocardial dysfunction in nonischemic, nonvalvular dilated cardiomyopathy (DCM), using an unprecedented combination of the navigator-gated 3D spiral displacement encoding with stimulated echoes (DENSE) magnetic resonance imaging (MRI), radial point interpolation (RPIM) and multiparametric strain z-score (MPZS). MATERIALS AND

methodsNavigator-gated 3D spiral DENSE, in a 1.5T MRI machine, was used for acquiring the displacement encoded complex images, MR Analytical Software System (MASS) for automated boundary detection and automated meshfree RPIM for left-ventricular (LV) myocardial strain computation to analyze MPZS in 36 subjects (with n = 17 DCM patients). Pearson's r correlation established relations between global/sentinel MPZS and ejection fraction (EF). The time taken for combined RPIM-MPZS computations was recorded.

resultsMaximum MPZS differences were seen between anteroseptal and posterolateral regions in the base (2.0 ± 0.3 vs. 0.9 ± 0.5) and the mid-wall (2.1 ± 0.4 vs. 1.0 ± 0.4). These regional differences were found to be consistent with historically documented septal injury in nonischemic DCM. Correlations were 0.6 between global MPZS and EF, and 0.7 between sentinel MPZS and EF. The time taken for combined RPIM-MPZS computations per subject was 18.9 ± 5.9 seconds.

conclusionHeterogeneous contractility found in the sentinel regions with the current automated MPZS computation scheme and the correlation found between MPZS and EF may lead to the creation of a new clinical metric in LV DCM surveillance. J. MAGN. RESON. IMAGING 2016;44:993-1002.

Indexed as

Stroke VolumeAgedAlgorithmsCardiomyopathy, DilatedComputer SimulationElasticity Imaging TechniquesElastic ModulusFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedModels, Cardiovascularcardiac mechanicscontractile dysfunctionDENSEdilated cardiomyopathyMPZSRPIM

Identifiers

PMID27038246
PMCPMC5028227
OpenAlexW2324274219

What OpenQuestion holds

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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.