Evidence map›Paper›PMID 31800152›Full record

ArticleESC heart failure2020

Comparison of feature tracking, fast-SENC, and myocardial tagging for global and segmental left ventricular strain.

Paulius Bucius, Jennifer Erley, Radu Tanacli, Victoria Zieschang, Sorin Giusca, Grigorious Korosoglou, Henning Steen, Christian Stehning, Burkert Pieske, Elisabeth Pieske-Kraigher and 3 more

Abstract readComparative Study
In one paragraph

Article in ESC heart failure, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
–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

68 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Cardiovascular magnetic resonance-derived left atrioventricular coupling index and major adverse cardiac events in patients following acute myocardial infarction.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Trial
  3. Trial
  4. Article
  5. Design and rationale of the WE-CARE-HF-CMR trial: Cardiorenal care on wheels for asymptomatic heart failure patients (NCT07185100).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
    Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
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  14. Article
  15. Cardiac Magnetic Resonance in Heart Failure: Diagnostic and Prognostic Assessments.Journal of cardiovascular development and disease · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

13 authors.

Paulius BuciusDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.ORCID 0000-0002-2756-0783
Jennifer ErleyDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Radu TanacliDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Victoria ZieschangDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Sorin GiuscaDepartment of Cardiology and Vascular Medicine, GRN Hospital Weinheim, Weinheim, Germany.
Grigorious KorosoglouDepartment of Cardiology and Vascular Medicine, GRN Hospital Weinheim, Weinheim, Germany.
Henning SteenDepartment of Internal Medicine/Cardiology, Marienkrankenhaus Hamburg, Hamburg, Germany.
Christian StehningPhilips Healthcare, Hamburg, Germany.
Burkert PieskeDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Elisabeth Pieske-KraigherDZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.
Andreas SchusterDepartment of Cardiology and Pneumology, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.
Tomas LapinskasDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Sebastian KelleDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsA multitude of cardiac magnetic resonance (CMR) techniques are used for myocardial strain assessment; however, studies comparing them are limited. We sought to compare global longitudinal (GLS), circumferential (GCS), segmental longitudinal (SLS), and segmental circumferential (SCS) strain values, as well as reproducibility between CMR feature tracking (FT), tagging (TAG), and fast-strain-encoded (fast-SENC) CMR techniques. METHODS AND

resultsEighteen subjects (11 healthy volunteers and seven patients with heart failure) underwent two CMR scans (1.5T, Philips) with identical parameters. Global and segmental strain values were measured using FT (Medis), TAG (Medviso), and fast-SENC (Myocardial Solutions). Friedman's test, linear regression, Pearson's correlation coefficient, and Bland-Altman analyses were used to assess differences and correlation in measured GLS and GCS between the techniques. Two-way mixed intra-class correlation coefficient (ICC), coefficient of variance (COV), and Bland-Altman analysis were used for reproducibility assessment. All techniques correlated closely for GLS (Pearson's r: 0.86-0.92) and GCS (Pearson's r: 0.85-0.94). Intra-observer and inter-observer reproducibility was excellent in all techniques for both GLS (ICC 0.92-0.99, CoV 2.6-10.1%) and GCS (ICC 0.89-0.99, CoV 4.3-10.1%). Inter-study reproducibility was similar for all techniques for GLS (ICC 0.91-0.96, CoV 9.1-10.8%) and GCS (ICC 0.95-0.97, CoV 7.6-10.4%). Combined segmental intra-observer reproducibility was good in all techniques for SLS (ICC 0.914-0.953, CoV 12.35-24.73%) and SCS (ICC 0.885-0.978, CoV 10.76-19.66%). Combined inter-study SLS reproducibility was the worst in FT (ICC 0.329, CoV 42.99%), while fast-SENC performed the best (ICC 0.844, CoV 21.92%). TAG had the best reproducibility for combined inter-study SCS (ICC 0.902, CoV 19.08%), while FT performed the worst (ICC 0.766, CoV 32.35%). Bland-Altman analysis revealed considerable inter-technique biases for GLS (FT vs. fast-SENC 3.71%; FT vs. TAG 8.35%; and TAG vs. fast-SENC 4.54%) and GCS (FT vs. fast-SENC 2.15%; FT vs. TAG 6.92%; and TAG vs. fast-SENC 2.15%). Limits of agreement for GLS ranged from ±3.1 (TAG vs. fast-SENC) to ±4.85 (FT vs. TAG) for GLS and ±2.98 (TAG vs. fast-SENC) to ±5.85 (FT vs. TAG) for GCS.

conclusionsWe found significant differences in measured GLS and GCS between FT, TAG, and fast-SENC. Global strain reproducibility was excellent for all techniques. Acquisition-based techniques had better reproducibility than FT for segmental strain.

Indexed as

Case-Control StudiesHeartHeart FailureHumansMagnetic Resonance ImagingMagnetic Resonance Imaging, CineVentricular Dysfunction, LeftCardiac magnetic resonanceFeature trackingMyocardial deformationSENCStrainTagging

Identifiers

PMID31800152
PMCPMC7160507

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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.