Evidence map›Paper›PMID 36064332›Full record

ArticleBMC medical imaging2022

A head-to-head comparison of fast-SENC and feature tracking to LV long axis strain for assessment of myocardial deformation in chest pain patients.

Deborah Siry, Johannes Riffel, Janek Salatzki, Florian André, Lukas Damian Weberling, Marco Ochs, Noura A Atia, Elizabeth Hillier, David Albert, Hugo A Katus and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 6 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
    Article
  2. Article
  3. Article
  4. 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
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 at 6 institutions in 3 countries.

Deborah SiryDepartment of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany. deborah.siry@gmail.com.
Johannes RiffelDepartment of Cardiology and Angiology, Robert-Bosch-Hospital, Stuttgart, Germany.
Janek SalatzkiDepartment of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.
Florian AndréDepartment of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.
Lukas Damian WeberlingDepartment of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.
Marco OchsDepartment of Cardiology, Angiology and Internal Intensive Care, Theresien-Hospital, Mannheim, Germany.
Noura A AtiaDiagnostic Radiology and Medical Imaging Department, Faculty of Medicine, Tanta University, Tanta, Egypt.
Elizabeth HillierDepartments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, QC, Canada.
David AlbertDepartment of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.
Hugo A KatusDepartment of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.
Evangelos GiannitsisDepartment of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.
Norbert FreyDepartment of Cardiology, Angiology and Pneumology, University Clinic of Heidelberg, Heidelberg, Germany.
Matthias G FriedrichDepartments of Medicine and Diagnostic Radiology, McGill University Health Centre, Montreal, QC, Canada.
Heidelberg University · DEUniversity Hospital Heidelberg · DEMcGill University Health Centre · CARobert Bosch Hospital · DETanta University · EGUniversity of Mannheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMyocardial strain imaging has gained importance in cardiac magnetic resonance (CMR) imaging in recent years as an even more sensitive marker of early left ventricular dysfunction than left-ventricular ejection fraction (LVEF). fSENC (fast strain encoded imaging) and FT (feature tracking) both allow for reproducible assessment of myocardial strain. However, left-ventricular long axis strain (LVLAS) might enable an equally sensitive measurement of myocardial deformation as global longitudinal or circumferential strain in a more rapid and simple fashion.

methodsIn this study we compared the diagnostic performance of fSENC, FT and LVLAS for identification of cardiac pathology (ACS, cardiac-non-ACS) in patients presenting with chest pain (initial hscTnT 5-52 ng/l). Patients were prospectively recruited from the chest pain unit in Heidelberg. The CMR scan was performed within 1 h after patient presentation. Analysis of LVLAS was compared to the GLS and GCS as measured by fSENC and FT.

resultsIn total 40 patients were recruited (ACS n = 6, cardiac-non-ACS n = 6, non-cardiac n = 28). LVLAS was comparable to fSENC for differentiation between healthy myocardium and myocardial dysfunction (GLS-fSENC AUC: 0.882; GCS-fSENC AUC: 0.899; LVLAS AUC: 0.771; GLS-FT AUC: 0.740; GCS-FT: 0.688), while FT-derived strain did not allow for differentiation between ACS and non-cardiac patients. There was significant variability between the three techniques. Intra- and inter-observer variability (OV) was excellent for fSENC and FT, while for LVLAS the agreement was lower and levels of variability higher (intra-OV: Pearson > 0.7, ICC > 0.8; inter-OV: Pearson > 0.65, ICC > 0.8; CoV > 25%).

conclusionsWhile reproducibility was excellent for both FT and fSENC, it was only fSENC and the LVLAS which allowed for significant identification of myocardial dysfunction, even before LVEF, and therefore might be used as rapid supporting parameters for assessment of left-ventricular function.

Indexed as

CardiomyopathiesVentricular Function, LeftChest PainHumansMagnetic Resonance Imaging, CineMyocardiumPredictive Value of TestsReproducibility of ResultsStroke VolumeFast-SENCFeature trackingLV long axis strainMyocardial strain

Identifiers

PMID36064332
PMCPMC9442977
OpenAlexW4294579759

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.