Evidence map›Paper›PMID 28209163›Full record

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

Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid, elastic image registration algorithm: assessment of variability in a real-life clinical setting.

Pedro Morais, Alberto Marchi, Julie A Bogaert, Tom Dresselaers, Brecht Heyde, Jan D'hooge, Jan Bogaert

Registry-linked trialAbstract readVideo-Audio Media
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. It is linked to trial NCT03835676 (Effects of Treprostinil on Right Ventricular Structure and Function in Patients With Pulmonary Arterial Hypertension), which is not on this map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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.

NCT03835676 phase4unknown statusnot on this mapstarted 2019, after this paper: background citation

Effects of Treprostinil on Right Ventricular Structure and Function in Patients With Pulmonary Arterial Hypertension

TypeinterventionalSponsorMagdi H. YacoubRan2019 to 2025Enrolled30ConditionsPulmonary HypertensionArmsTreprostinil
3 · Its place in the literature

Who cites it

59 citing papers in PubMed.

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  7. Non-invasive estimation of left ventricular chamber stiffness using cardiovascular magnetic resonance and echocardiography.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
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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

7 authors.

Pedro MoraisLab on Cardiovascular Imaging & Dynamics, Department of Cardiovascular Sciences, KULeuven - University of Leuven, Herestraat 49, Leuven, Belgium.
Alberto MarchiDepartment of Imaging and Pathology, KU Leuven - University of Leuven, Herestraat 49, Leuven, Belgium.
Julie A BogaertDepartment of Imaging and Pathology, KU Leuven - University of Leuven, Herestraat 49, Leuven, Belgium.
Tom DresselaersDepartment of Imaging and Pathology, KU Leuven - University of Leuven, Herestraat 49, Leuven, Belgium.
Brecht HeydeLab on Cardiovascular Imaging & Dynamics, Department of Cardiovascular Sciences, KULeuven - University of Leuven, Herestraat 49, Leuven, Belgium.
Jan D'hoogeLab on Cardiovascular Imaging & Dynamics, Department of Cardiovascular Sciences, KULeuven - University of Leuven, Herestraat 49, Leuven, Belgium.
Jan BogaertDepartment of Imaging and Pathology, KU Leuven - University of Leuven, Herestraat 49, Leuven, Belgium. Jan.bogaert@uzleuven.be.ORCID http://orcid.org/0000-0001-7495-9183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular magnetic resonance myocardial feature tracking (CMR-FT) is a promising technique for quantification of myocardial strain from steady-state free precession (SSFP) cine images. We sought to determine the variability of CMR-FT using a non-rigid elastic registration algorithm recently available in a commercial software package (Segment, Medviso) in a real-life clinical setting.

methodsFirstly, we studied the variability in a healthy volunteer who underwent 10 CMR studies over five consecutive days. Secondly, 10 patients were selected from our CMR database yielding normal findings (normal group). Finally, we prospectively studied 10 patients with known or suspected myocardial pathology referred for further investigation to CMR (patient group). In the patient group a second study was performed respecting an interval of 30 min between studies. All studies were manually segmented at the end-diastolic phase by three observers. In all subjects left ventricular (LV) circumferential and radial strain were calculated in the short-axis direction (Ecc

resultsMean contouring time was 7 ± 1 min, mean FT calculation time 13 ± 2 min. Intra- and inter-observer variability was good to excellent with an coefficient of reproducibility (CR) ranging 1.6% to 11.5%, and 1.7% to 16.0%, respectively and an intraclass correlation coefficient (ICC) ranging 0.89 to 1.00 and 0.74 to 0.99, respectively. Variability considerably increased in the test-retest setting with a CR ranging 4.2% to 29.1% and an ICC ranging 0.66 to 0.95 in the patient group. Variability was not influenced by level of expertise of the observers. Neither did the presence of myocardial pathology at CMR negatively impact variability. However, compared to global myocardial strain, segmental myocardial strain variability increased with a factor 2-3, in particular for the basal and apical short-axis slices.

conclusionsCMR-FT using non-rigid, elastic registration is a reproducible approach for strain analysis in patients routinely scheduled for CMR, and is not influenced by the level of training. However, further improvement is needed to reliably depict small variations in segmental myocardial strain.

Indexed as

AlgorithmsMyocardial ContractionVentricular Function, LeftAdultBiomechanical PhenomenaCase-Control StudiesFemaleHumansImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineMaleMiddle AgedMyocardial IschemiaObserver VariationPredictive Value of TestsProspective Studies

Identifiers

PMID28209163
PMCPMC5314711

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Registered trials

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.