Evidence map›Paper›PMID 33980259›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2021

Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T.

Sebastian Militaru, Roman Panovsky, Vincent Hanet, Mihaela Silvia Amzulescu, Hélène Langet, Mary Mojica Pisciotti, Anne-Catherine Pouleur, Jean-Louis J Vanoverschelde, Bernhard L Gerber

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Layer-specific fast strain-encoded cardiovascular magnetic resonance in suspected acute coronary syndrome: a prospective study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
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  7. [Preliminary Study of Dilated Cardiomyopathy at a High Altitude Based on Cardiac Magnetic Resonance Feature Tracking].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 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

9 authors at 3 institutions in 3 countries.

Sebastian MilitaruDivision of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium.
Roman PanovskyInternational Clinical Research Center, St. Anne´S Faculty Hospital, Brno, Czech Republic.
Vincent HanetDivision of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium.
Mihaela Silvia AmzulescuDivision of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium.
Hélène LangetPhilips Clinical Research Board, Paris, France.
Mary Mojica PisciottiInternational Clinical Research Center, St. Anne´S Faculty Hospital, Brno, Czech Republic.
Anne-Catherine PouleurDivision of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium.
Jean-Louis J VanoverscheldeDivision of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium.
Bernhard L GerberDivision of Cardiology, Department of Cardiovascular Diseases, Cliniques Universitaires St. Luc UCL, Av Hippocrate 10/2806, 1200, Woluwe St. Lambert, Belgium. bernhard.gerber@uclouvain.be.ORCID 0000-0003-1708-8558
Cliniques Universitaires Saint-Luc · BEMasaryk University · CZPhilips (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular magnetic resonance (CMR) 2D feature tracking (FT) left ventricular (LV) myocardial strain has seen widespread use to characterize myocardial deformation. Yet, validation of CMR FT measurements remains scarce, particularly for regional strain. Therefore, we aimed to perform intervendor comparison of 3 different FT software against tagging.

methodsIn 61 subjects (18 healthy subjects, 18 patients with chronic myocardial infarction, 15 with dilated cardiomyopathy, and 10 with LV hypertrophy due to hypertrophic cardiomyopathy or aortic stenosis) were prospectively compared global (G) and regional transmural peak-systolic Lagrangian longitudinal (LS), circumferential (CS) and radial strains (RS) by 3 FT software (cvi42, Segment, and Tomtec) among each other and with tagging at 3T. We also evaluated the ability of regional LS, CS, and RS by different FT software vs tagging to identify late gadolinium enhancement (LGE) in the 18 infarct patients.

resultsGLS and GCS by all 3 software had an excellent agreement among each other (ICC = 0.94-0.98 for GLS and ICC = 0.96-0.98 for GCS respectively) and against tagging (ICC = 0.92-0.94 for GLS and ICC = 0.88-0.91 for GCS respectively), while GRS showed inconsistent agreement between vendors (ICC 0.10-0.81). For regional LS, the agreement was good (ICC = 0.68) between 2 vendors but less vs the 3

conclusionsWe confirm good agreement of CMR FT and little intervendor difference for GLS and GCS evaluation, with variable agreement for GRS. For regional strain evaluation, intervendor difference was larger, especially for RS, and the diagnostic performance varied more substantially among different vendors for regional strain analysis.

Indexed as

Contrast MediaMagnetic Resonance Imaging, CineGadoliniumHumansMagnetic Resonance SpectroscopyPredictive Value of TestsReproducibility of ResultsVentricular Function, LeftContrast MediaGadoliniumFeature trackingMagnetic resonance imagingStrainTagging

Identifiers

PMID33980259
PMCPMC8117295
OpenAlexW3162074921

What OpenQuestion holds

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LicenceCC BY
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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.