Evidence map›Paper›PMID 31297633›Full record

ArticleEuropean radiology2019

Inter-vendor reproducibility and accuracy of segmental left ventricular strain measurements using CMR feature tracking.

Monica Dobrovie, Manuel Barreiro-Pérez, Davide Curione, Rolf Symons, Piet Claus, Jens-Uwe Voigt, Jan Bogaert

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Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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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.

Monica DobrovieDepartment of Imaging and Pathology, University Hospitals Leuven, KU Leuven - University of Leuven, Herestraat 49, 3000, Leuven, Belgium. monica_dobrovie@yahoo.com.ORCID http://orcid.org/0000-0002-0381-7409
Manuel Barreiro-PérezDepartment of Imaging and Pathology, University Hospitals Leuven, KU Leuven - University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Davide CurioneDepartment of Imaging and Pathology, University Hospitals Leuven, KU Leuven - University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Rolf SymonsDepartment of Imaging and Pathology, University Hospitals Leuven, KU Leuven - University of Leuven, Herestraat 49, 3000, Leuven, Belgium.
Piet ClausLaboratory on Cardiovascular Imaging & Dynamics, Department of Cardiovascular Sciences, KU Leuven - University of Leuven, Herestraat 49, Leuven, Belgium.
Jens-Uwe VoigtDepartment of Cardiovascular Sciences, KU Leuven - University of Leuven, Herestraat 49, Leuven, Belgium.
Jan BogaertDepartment of Imaging and Pathology, University Hospitals Leuven, KU Leuven - University of Leuven, Herestraat 49, 3000, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur aim was to evaluate the inter-vendor reproducibility of cardiovascular MR feature tracking (CMR-FT) for the measurement of segmental strain (SS) of the left ventricle (LV) as well as to test the accuracy of CMR-FT to detect regional myocardial pathology.

methodsWe selected 45 patients: 15 with normal CMR findings, 15 with dilated cardiomyopathy, and 15 with acute myocardial infarction. Segmental longitudinal, circumferential, and radial strains were assessed with 4 different software. The inter-vendor difference as well as intra- and inter-observer variability was investigated. Furthermore, the accuracy of CMR-FT for the detection of structural (infarcted segments) as well as functional pathology (septal vs. lateral wall strain in left bundle branch block) was tested.

resultsBetween vendors, there were significant differences in values for all strains (p < 0.001). The software using a non-rigid algorithm for image registration and segmentation demonstrated the best intra- as well as inter-observer variability with interclass correlation coefficient (ICC) > 0.962 and coefficient of variation (CV) < 24%. For infarct location, the same software yielded the highest area under the curve values for radial and circumferential SS (0.872 and 0.859, respectively). One of the other three software using optical flow technology performed best for longitudinal SS (0.799) and showed the largest differences in SS between septum and lateral wall in the dilated cardiomyopathy group.

conclusionSS values obtained by CMR-FT are not interchangeable between vendors, and intra- and inter-observer reproducibility shows substantial variability among vendors. Overall, the different packages score relatively well to depict focal structural or functional LV pathology. KEY POINTS: • Segmental myocardial strain values obtained by CMR feature tracking are not interchangeable between different vendors. • Intra- and inter-observer reproducibility shows substantial variability among vendors. • Segmental myocardial strains measured by CMR feature tracking score relatively well to depict focal structural or functional LV pathology.

Indexed as

AlgorithmsFemaleHeart VentriclesHumansMagnetic Resonance ImagingMaleMiddle AgedObserver VariationReproducibility of ResultsVentricular Dysfunction, LeftVentricular Function, LeftDilated cardiomyopathyMagnetic resonance imagingMyocardial infarctionMyocardium

Identifiers

PMID31297633

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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.