Evidence map›Paper›PMID 31712641›Full record

ArticleScientific reports2019

Range Variability in CMR Feature Tracking Multilayer Strain across Different Stages of Heart Failure.

Radu Tanacli, Djawid Hashemi, Tomas Lapinskas, Frank Edelmann, Rolf Gebker, Gianni Pedrizzetti, Andreas Schuster, Eike Nagel, Burkert Pieske, Hans-Dirk Düngen and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05122793 ("HerzCheck" - Erkennung Und Prävention Einer Frühen Herzinsuffizienz Mittels Telemedizinischer Verfahren in Strukturschwachen Regionen), which is not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.7field-weighted citation impact, top 8% 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.

NCT05122793 naactive not recruitingnot on this mapstarted 2021, after this paper: background citation

"HerzCheck" - Erkennung Und Prävention Einer Frühen Herzinsuffizienz Mittels Telemedizinischer Verfahren in Strukturschwachen Regionen

TypeinterventionalSponsorGerman Heart InstituteRan2021 to 2034Enrolled4,509ConditionsHeart Failure with Preserved Ejection FractionArmsPrevention offer
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 36 citations in OpenAlex.

  1. 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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  10. CMR-based cardiac phenotyping in different forms of heart failure.The international journal of cardiovascular imaging · 2024
    Article
  11. Layer-specific fast strain-encoded cardiac magnetic resonance imaging aids in the identification and discrimination of acute myocardial injury: a prospective proof-of-concept study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  12. Article
  13. Integration of longitudinal and circumferential strain predicts volumetric change across the cardiac cycle and differentiates patients along the heart failure continuum.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  14. The value of CMR Left ventricular strain analysis in evaluating ICM.The international journal of cardiovascular imaging · 2023
    Article
  15. Article
  16. Review
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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

11 authors at 4 institutions in 2 countries.

Radu TanacliDepartment of Cardiology, German Heart Centre Berlin, Berlin, Germany. tanacli@dhzb.de.
Djawid HashemiDepartment of Cardiology, Charité University Medicine Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0003-3933-7092
Tomas LapinskasDepartment of Cardiology, German Heart Centre Berlin, Berlin, Germany.
Frank EdelmannDepartment of Cardiology, Charité University Medicine Berlin, Berlin, Germany.
Rolf GebkerDepartment of Cardiology, German Heart Centre Berlin, Berlin, Germany.
Gianni PedrizzettiDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.ORCID http://orcid.org/0000-0003-2886-7653
Andreas SchusterDepartment of Cardiology and Pulmonology and German Centre for Cardiovascular Research (DZHK) Partner Site, Göttingen, Germany.
Eike NagelInstitute of Experimental and Translational Cardiac Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany.
Burkert PieskeDepartment of Cardiology, German Heart Centre Berlin, Berlin, Germany.
Hans-Dirk DüngenDepartment of Cardiology, Charité University Medicine Berlin, Berlin, Germany.
Sebastian KelleDepartment of Cardiology, German Heart Centre Berlin, Berlin, Germany.
German Centre for Cardiovascular Research · DEDeutsches Herzzentrum München · DEGoethe University Frankfurt · DEUniversity of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure (HF) is associated with progressive ventricular remodeling and impaired contraction that affects distinctly various regions of the myocardium. Our study applied cardiac magnetic resonance (CMR) feature tracking (FT) to assess comparatively myocardial strain at 3 distinct levels: subendocardial (Endo-), mid (Myo-) and subepicardial (Epi-) myocardium across an extended spectrum of patients with HF. 59 patients with HF, divided into 3 subgroups as follows: preserved ejection fraction (HFpEF, N = 18), HF with mid-range ejection fraction (HFmrEF, N = 21), HF with reduced ejection fraction (HFrEF, N = 20) and a group of age- gender- matched volunteers (N = 17) were included. Using CMR FT we assessed systolic longitudinal and circumferential strain and strain-rate at Endo-, Myo- and Epi- levels. Strain values were the highest in the Endo- layer and progressively lower in the Myo- and Epi- layers respectively, this gradient was present in all the patients groups analyzed but decreased progressively in HFmrEF and further on in HFrEF groups. GLS decreased with the severity of the disease in all 3 layers: Normal > HFpEF > HFmrEF > HFrEF (Endo-: -23.0 ± 3.5 > -20.0 ± 3.3 > -16.4 ± 2.2 > -11.0 ± 3.2, p < 0.001, Myo-: -20.7 ± 2.4 > -17.5.0 ± 2.6 > -14.5 ± 2.1 > -9.6 ± 2.7, p < 0.001; Epi-: -15.7 ± 1.9 > -12.2 ± 2.1 > -10.6 ± 2.3 > -7.7 ± 2.3, p < 0.001). In contrast, GCS was not different between the Normal and HFpEF (Endo-: -34.5 ± 6.2 vs -33.9 ± 5.7, p = 0.51; Myo-: -21.9 ± 3.8 vs -21.3 ± 2.2, p = 0.39, Epi-: -11.4 ± 2.0 vs -10.9 ± 2.3, p = 0.54) but was, as well, markedly lower in the systolic heart failure groups: Normal > HFmrEF > HFrEF (Endo-: -34.5 ± 6.2 > -20.0 ± 4.2 > 12.3 ± 4.2, p < 0.001; Myo-: -21.9 ± 3.8 > -13.0 ± 3.4 > -8.0 ± 2.7. p < 0.001; Epi-: -11.4 ± 2.0 > -7.9 ± 2.3 > -4.5 ± 1.9. p < 0.001). CMR feature tracking multilayer strain assessment identifies large range differences between distinct myocardial regions. Our data emphasizes the importance of sub-endocardial myocardium for cardiac contraction and thus, its predilect role in imaging detection of functional impairment. CMR feature tracking offers a convenient, readily available, platform to evaluate myocardial contraction with excellent spatial resolution, rendering further details about discrete areas of the myocardium. Using this technique across distinct groups of patients with heart failure (HF), we demonstrate that subendocardial regions of the myocardium exhibit much higher strain values than mid-myocardium or subepicardial and are more sensitive to detect contractile impairment. We also show comparatively higher values of circumferential strain compared with longitudinal and a higher sensitivity to detect contractile impairment. A newly characterized group of patients, HF with mid-range ejection fraction (EF), shows similar traits of decompensation but has relatively higher strain values as patients with HF with reduced EF.

Indexed as

Stroke VolumeAgedFemaleHeart FailureHumansImage Processing, Computer-AssistedLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesRisk Factors

Identifiers

PMID31712641
PMCPMC6848170
OpenAlexW2984145152

What OpenQuestion holds

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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.