Evidence map›Paper›PMID 38756751›Full record

ArticleFrontiers in cardiovascular medicine2024

Comparative analysis of left ventricle function and deformation imaging in short and long axis plane in cardiac magnetic resonance imaging.

Oscar Werner, Duarte Martins, Federico Bertini, Elena Bennati, Dario Collia, Iacopo Olivotto, Gaia Spaziani, Alban-Elouen Baruteau, Gianni Pedrizzetti, Francesca Raimondi

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Oscar WernerPediatric Cardiology Unit, University Hospital Meyer, Florence, Italy.
Duarte MartinsPediatric and Adult Congenital Cardiology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy.
Federico BertiniPediatric Radiology Department, University Hospital Meyer, Florence, Italy.
Elena BennatiPediatric Cardiology Unit, University Hospital Meyer, Florence, Italy.
Dario ColliaDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.
Iacopo OlivottoPediatric Cardiology Unit, University Hospital Meyer, Florence, Italy.
Gaia SpazianiPediatric Cardiology Unit, University Hospital Meyer, Florence, Italy.
Alban-Elouen BaruteauDepartment of Pediatric Cardiology and Pediatric Cardiac Surgery, FHU PRECICARE, Nantes Université, CHU Nantes, Nantes, France.
Gianni PedrizzettiDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.
Francesca RaimondiPediatric Cardiology Unit, University Hospital Meyer, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advancements in cardiac imaging have revolutionized our understanding of ventricular contraction. While ejection fraction (EF) is still the gold standard parameter to assess left ventricle (LV) function, strain imaging (SI) has provided valuable insights into ventricular mechanics. The lack of an integrative method including SI parameters in a single, validated formula may limit its use. Our aim was to compare different methods for evaluating global circumferential strain (GCS) and their relationship with global longitudinal strain (GLS) and EF in CMR and how the different evaluations fit in the theoretical relationship between EF and global strain. Methods: Retrospective monocenter study. Inclusion of every patient who underwent a CMR during a 15 months period with various clinical indication (congenital heart defect, myocarditis, cardiomyopathy). A minimum of three LV long-axis planes and a stack of short-axis slices covering the LV using classical steady-state free precession cine sequences. A single assessment of GLS on long axis (LAX) slices and a double assessment of GCS and EF with both short axis (SAX) and LAX slices were made by a single experienced CMR investigator. Results: GCS-SAX and GCS-LAX were correlated ( Data conclusion: This study highlights the need to integrate strain imaging techniques into clinical by incorporating strain parameters into EF calculations, because it gives a deeper understanding of cardiac mechanics.

Indexed as

cardiac functioncardiac imagingdeformation imagingfeature tracking (CMR-FT)MRIstrain

Identifiers

PMID38756751
PMCPMC11097778

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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.