Evidence map›Paper›PMID 30244412›Full record

ArticlePediatric radiology2019

Validation of cardiac magnetic-resonance-derived left ventricular strain measurements from free-breathing motion-corrected cine imaging.

Anthony Merlocco, Russell R Cross, Peter Kellman, Hui Xue, Laura Olivieri

Abstract readValidation Study
In one paragraph

Article in Pediatric radiology, 2019. 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. Article
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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

5 authors.

Anthony MerloccoDivision of Cardiology, Children's National Health System, Department of Pediatrics, George Washington Medical School, Washington, DC, USA. amerlocc@uthsc.edu.ORCID http://orcid.org/0000-0001-6228-0229
Russell R CrossDivision of Cardiology, Children's National Health System, Department of Pediatrics, George Washington Medical School, Washington, DC, USA.
Peter KellmanNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Hui XueNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
Laura OlivieriDivision of Cardiology, Children's National Health System, Department of Pediatrics, George Washington Medical School, Washington, DC, USA.

Funding

Gadgetron Global Network and Intelligence Computing: Clinical Imaging Application Development and Software InfrastructureZIAHL006214 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KELLMAN, PETER · 2016 to 2025
$7.3M
Cardiac MRI Increases Accuracy and Decreases Risk of Evaluation of Children with Cardiomyopathy and Cardiac TransplantationR01HL144494 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI OLIVIERI, LAURA J · 2019 to 2023
$3.6M
Gadgetron Global Network and Artificial Intelligence Powered Cardiac ImagingZIAHL006242 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI KELLMAN, PETER · 2019 to 2023
$2.2M
NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS R01 HL144494
6 · The paper itself

Abstract

backgroundMyocardial strain is an important measure of cardiac function and can be assessed on cardiac magnetic resonance (MR) through the current gold standard of breath-held segmented steady-state free precession (SSFP) cine imaging. Novel free-breathing techniques have been validated for volumetry and systolic function, allowing for evaluation of sicker and younger children who cannot reliably hold their breath. It is unclear whether strain measurements can be reliably performed on free-breathing, motion-corrected, re-binning cine images.

objectiveTo compare strain analysis from motion-corrected retrospective re-binning images to the breath-held SSFP cine images to explore their validity. MATERIALS AND

methodsTwenty-five children and young adults, ages (2.1-18.6 years) underwent breath-held and motion-corrected retrospective re-binning cine techniques during the same MR examination on a 1.5-tesla magnet. We measured endocardial end-systolic global circumferential strain and endocardial averaged segmental strain using commercial software (MEDIS QStrain 2.1). We used Pearson correlation coefficients to test agreement across techniques.

resultsAnalysis was possible in all 25 breath-held and motion-corrected retrospective re-binning studies. Global circumferential strain and endocardial averaged segmental strain obtained by motion-corrected retrospective re-binning compared favorably to breath-held studies. Global circumferential strain linear regression models demonstrated acceptable agreement, with coefficients of determination of 0.75 for breath-held compared to motion-corrected retrospective re-binning (P<0.001) and for endocardial averaged segmental strain comparisons yielded 0.77 for breath-held vs. motion-corrected retrospective re-binning (P<0.001). Bland-Altman assessment demonstrated minimal bias for breath-held compared to motion-corrected retrospective re-binning (mean 2.4 and 1.9, respectively, for global circumferential strain and endocardial averaged segmental strain).

conclusionFree-breathing imaging by motion-corrected retrospective re-binning cine imaging provides adequate spatial and temporal resolution to measure myocardial deformation when compared to the gold-standard breath-held SSFP cine imaging in children with normal or borderline systolic function.

Indexed as

AdolescentBreath HoldingChildChild, PreschoolFemaleHeart Defects, CongenitalHumansImage Interpretation, Computer-AssistedInfantMagnetic Resonance Imaging, CineMaleRetrospective StudiesVentricular Dysfunction, LeftChildrenHeartMagnetic resonance imagingMotion correctionReal-time imagingRetrospective reconstructionStrain imaging

Identifiers

PMID30244412
PMCPMC8432251

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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.