Evidence map›Paper›PMID 28245864›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2017

Using a respiratory navigator significantly reduces variability when quantifying left ventricular torsion with cardiovascular magnetic resonance.

Sean M Hamlet, Christopher M Haggerty, Jonathan D Suever, Gregory J Wehner, Kristin N Andres, David K Powell, Richard J Charnigo, Brandon K Fornwalt

Abstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2017. 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. Journal of Cardiovascular Magnetic Resonance: 2017/2018 in review.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2019
    Review
  2. Journal of Cardiovascular Magnetic Resonance 2017.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2018
    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

8 authors.

Sean M HamletDepartment of Electrical and Computer Engineering, University of Kentucky, Lexington, KY, USA.
Christopher M HaggertyDepartment of Pediatrics, University of Kentucky, Lexington, KY, USA.
Jonathan D SueverDepartment of Pediatrics, University of Kentucky, Lexington, KY, USA.
Gregory J WehnerDepartment of Pediatrics, University of Kentucky, Lexington, KY, USA.
Kristin N AndresDepartment of Pediatrics, University of Kentucky, Lexington, KY, USA.
David K PowellDepartment of Biomedical Engineering, University of Kentucky, Lexington, KY, USA.
Richard J CharnigoDepartments of Biostatistics and Statistics, University of Kentucky, Lexington, KY, USA.
Brandon K FornwaltDepartment of Pediatrics, University of Kentucky, Lexington, KY, USA. bkf@gatech.edu.

Funding

Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
The role of IKKß in linking obesity to adipose tissue inflammation and adipogeneP20GM103527 · NIGMS · UNIVERSITY OF KENTUCKY · PI MORRIS, ANDREW J · 2012 to 2017
$13.7M
Kentucky Center for Clinical and Translational ScienceUL1TR000117 · NCATS · UNIVERSITY OF KENTUCKY · PI KERN, PHILIP A · 2012 to 2015
$13.3M
Exploring the Role of Dyssynchrony in Pediatric Heart Disease with MRIDP5OD012132 · OD · UNIVERSITY OF KENTUCKY · PI FORNWALT, BRANDON K · 2012 to 2016
$2.2M
Bringing Advanced Heart MRI to Pediatric Clinics Using an Interactive VideogameF31HL126403 · NHLBI · UNIVERSITY OF KENTUCKY · PI HAMLET, SEAN MICHAEL · 2015 to 2017
$68k
NCATS NIH HHS UL1 TR000117NCATS NIH HHS UL1 TR001998NHLBI NIH HHS F31 HL126403NIGMS NIH HHS P20 GM103527NIH HHS DP5 OD012132
6 · The paper itself

Abstract

backgroundLeft ventricular (LV) torsion is an important indicator of cardiac function that is limited by high inter-test variability (50% of the mean value). We hypothesized that this high inter-test variability is partly due to inconsistent breath-hold positions during serial image acquisitions, which could be significantly improved by using a respiratory navigator for cardiovascular magnetic resonance (CMR) based quantification of LV torsion.

methodsWe assessed respiratory-related variability in measured LV torsion with two distinct experimental protocols. First, 17 volunteers were recruited for CMR with cine displacement encoding with stimulated echoes (DENSE) in which a respiratory navigator was used to measure and then enforce variability in end-expiratory position between all LV basal and apical acquisitions. From these data, we quantified the inter-test variability of torsion in the absence and presence of enforced end-expiratory position variability, which established an upper bound for the expected torsion variability. For the second experiment (in 20 new, healthy volunteers), 10 pairs of cine DENSE basal and apical images were each acquired from consecutive breath-holds and consecutive navigator-gated scans (with a single acceptance position). Inter-test variability of torsion was compared between the breath-hold and navigator-gated scans to quantify the variability due to natural breath-hold variation. To demonstrate the importance of these variability reductions, we quantified the reduction in sample size required to detect a clinically meaningful change in LV torsion with the use of a respiratory navigator.

resultsThe mean torsion was 3.4 ± 0.2°/cm. From the first experiment, enforced variability in end-expiratory position translated to considerable variability in measured torsion (0.56 ± 0.34°/cm), whereas inter-test variability with consistent end-expiratory position was 57% lower (0.24 ± 0.16°/cm, p < 0.001). From the second experiment, natural respiratory variability from consecutive breath-holds translated to a variability in torsion of 0.24 ± 0.10°/cm, which was significantly higher than the variability from navigator-gated scans (0.18 ± 0.06°/cm, p = 0.02). By using a respiratory navigator with DENSE, theoretical sample sizes were reduced from 66 to 16 and 26 to 15 as calculated from the two experiments.

conclusionsA substantial portion (22-57%) of the inter-test variability of LV torsion can be reduced by using a respiratory navigator to ensure a consistent breath-hold position between image acquisitions.

Indexed as

Magnetic Resonance Imaging, CineRespiratory-Gated Imaging TechniquesRespiratory MechanicsVentricular Function, LeftAdultAgedBiomechanical PhenomenaBreath HoldingFemaleHealthy VolunteersHeart VentriclesHumansImage Interpretation, Computer-AssistedMaleMiddle AgedPredictive Value of TestsBreath-holdsCardiovascular magnetic resonanceDENSELeft ventricular torsionRespiratory navigator gating

Identifiers

PMID28245864
PMCPMC5331707

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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.