ArticleEuropean heart journal. Imaging methods and practice2026
Head-to-head comparison of left ventricular strain assessed by CMR post-processing tools and fast strain-ENCoded imaging
Article in European heart journal. Imaging methods and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Early diastolic dysfunction in patients with ischemia and no obstructive coronary artery disease: a prospective study on hybrid positron emission tomography-magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2026Article
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Authors and funding
13 authors.
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Abstract
Aims: Cardiovascular magnetic resonance (CMR) strain imaging allows early detection of subclinical myocardial dysfunction and provides incremental diagnostic and prognostic information. Strain can be derived from dedicated sequences such as fast Strain-ENCoded imaging (fSENC) or from post-processing of cine images using feature tracking (FT) and tissue tracking (TT). However, it remains unclear whether strain values from different approaches are directly comparable, making the definition of universal reference values difficult. This study compared left ventricular (LV) strain assessed by FT, TT, and fSENC. Methods and results: We studied 240 individuals (183 patients recovered from coronavirus disease 2019 [COVID-19] and 57 age- and sex-matched healthy controls), who underwent standardized CMR including cine imaging and fSENC. LV global longitudinal (GLS), circumferential (GCS), and radial strain (GRS) were analysed using FT and TT; fSENC provided GLS and GCS. Global strain values differed significantly between all methods ( Conclusion: CMR strain imaging provides fast, reliable, and reproducible measurements. However, strain values are not directly interchangeable even between similar post-processing methods or when compared with dedicated sequences, highlighting the need for standardization and method-specific reference values.
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