Evidence map›Paper›PMID 31434950›Full record

Trial reportScientific reports2019

Effect of comprehensive initial training on the variability of left ventricular measures using fast-SENC cardiac magnetic resonance imaging.

Tomas Lapinskas, Hanane Hireche-Chikaoui, Victoria Zieschang, Jennifer Erley, Christian Stehning, Rolf Gebker, Sorin Giusca, Grigorios Korosoglou, Remigijus Zaliunas, Sören Jan Backhaus and 3 more

Abstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The impact of Wilson disease on myocardial tissue and function: a cardiovascular magnetic resonance study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2021
    Trial
  2. Article
  3. Article
  4. Review
  5. A highly predictive cardiac positron emission tomography (PET) risk score for 90-day and one-year major adverse cardiac events and revascularization.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  6. Article
  7. Article
  8. Article
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.

Tomas LapinskasDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany. tomas.lapinskas@lsmuni.lt.
Hanane Hireche-ChikaouiDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Victoria ZieschangDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Jennifer ErleyDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Christian StehningPhilips Healthcare, Hamburg, Germany.
Rolf GebkerDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Berlin, Germany.
Sorin GiuscaDepartment of Cardiology and Vascular Medicine, GRN Hospital Weinheim, Weinheim, Germany.
Grigorios KorosoglouDepartment of Cardiology and Vascular Medicine, GRN Hospital Weinheim, Weinheim, Germany.
Remigijus ZaliunasDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Sören Jan BackhausDepartment of Cardiology and Pneumology, University Medical Center, Georg-August University, Göttingen, Germany.
Andreas SchusterDepartment of Cardiology and Pneumology, University Medical Center, Georg-August University, Göttingen, Germany.
Burkert PieskeDepartment 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

Cardiac magnetic resonance (CMR) is becoming the imaging modality of choice in multicenter studies where highly reproducible measurements are necessary. The purpose of this study was to assess the effect of comprehensive initial training on reproducibility of quantitative left ventricular (LV) parameters estimated using strain-encoded (SENC) imaging. Thirty participants (10 patients with heart failure (HF) and preserved LV ejection fraction (HFpEF), 10 patients with HF and reduced LV ejection fraction (HFrEF) and 10 healthy volunteers) were examined using fast-SENC imaging. Four observers with different experience in non-invasive cardiac imaging completed comprehensive initial training course and were invited to perform CMR data analysis. To assess agreement between observers, LV volumes, mass, ejection fraction (LVEF), global longitudinal strain (GLS) and global circumferential strain (GCS) were estimated using dedicated software (MyoStrain, USA). To test intraobserver agreement data analysis was repeated after 4 weeks. SENC imaging and analysis were fast and were completed in less than 5 minutes. LV end-diastolic volume index (LVEDVi), LVEF and strain were significantly lower in HFpEF patients than in healthy volunteers (p = 0.019 for LVEDVi; p = 0.023 for LVEF; p = 0.004 for GLS and p < 0.001 for GCS). All LV functional parameters were further reduced in HFrEF. Excellent interobserver agreement was found for all LV parameters independently of the level of experience. The reproducibility of LV mass was lower, especially at the intraobserver level (ICC 0.91; 95% CI 0.74-0.96). LV volumetric and functional parameters derived using fast-SENC imaging, are highly reproducible. The appropriate initial training is relevant and allows to achieve highest concordance in fast-SENC measurements.

Indexed as

Heart FailureMagnetic Resonance ImagingVentricular Dysfunction, LeftVentricular Function, LeftFemaleHeart VentriclesHumansMaleMiddle AgedObserver VariationStroke Volume

Identifiers

PMID31434950
PMCPMC6704124

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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.